International Journal of Health Sciences and Pharmacy (IJHSP) <ul> <li><strong>Country of Publication:</strong> India</li> <li><strong>Publisher: </strong>Srinivas Publication, Mangalore, Karnataka, India</li> <li><strong>Format:</strong> Open Access</li> <li><strong>ISSN:</strong> 2581-6012</li> <li><strong>Available from: <a href="">Crossref, Indian Citation Index, Zenodo, OpenAir</a></strong></li> <li><strong>Frequency:</strong> 2 Issues per year</li> <li><strong>Language:</strong> English</li> <li><strong>Scope:</strong> Multidisciplinary (Management, Technology, and Social Sciences)</li> <li><strong>Article Processing Charge:</strong> No</li> <li><strong>Fees: </strong>All publication are free of charge</li> <li><strong>Types of Journal:</strong> Academic/ Scholarly Journals</li> <li><strong>Open Access:</strong> Yes</li> <li><strong>Indexed &amp; Abstracted:</strong> Yes</li> <li><strong>Policy:</strong> Double blinded Peer Review</li> <li><strong>Publication Ethics: <a href="">Editorial Ethics Policy</a></strong></li> <li><strong>Review Time:</strong> Six to Eight Weeks Approximately</li> <li><strong>Contact &amp; Submission Email:</strong> <a href=""></a></li> <li><strong>Paper Format:</strong> <a href="">View Here</a> / <a href="">Download Here</a></li> </ul> <p> </p> <p><strong>International Journal of Health Sciences and Pharmacy (IJHSP) (ISSN - 2581-6411)</strong> is an international, not-for-profit, open-access bi-annually online Refereed journal that accepts research works from scholars, academicians, professors, doctorates, lecturers and corporate in their respective expertise of studies. The aim of IJHSP is to publish peer-reviewed research and review articles. The mission of this journal is to publish original contributions in its field to promote research in various disciplines. IJHSP aims to bring pure academic research and more practical publications. So it covers the full range of research applied to various sciences that meet future demands. All submitted articles should report original, previously unpublished (experimental or theoretical) research and results. All the submissions in the scope of IJHSP will be peer-reviewed. All submissions are also checked for plagiarism. The length of the manuscript must be between five (5) to twenty (20) journal pages excluding references.</p> Srinivas Publication, Mangalore, Karnataka, India-575001 en-US International Journal of Health Sciences and Pharmacy (IJHSP) 2581-6411 A Machine Intelligent Based Approach for the Classification and Analysis of Tomato Leaf Disease Images <p><strong>Purpose: </strong><em>Vegetable production plays a vital role for the existence of human society. It is very much essential for the proper care of vegetable plants for better production of vegetables. However, vegetable plant leaf disease is a major concern in the current scenario. Tomato leaf disease is one of them. So, preventive measures should be taken to avoid the rise of tomatoes and other leaf diseases at the earliest for better production of vegetables.&nbsp;&nbsp; </em></p> <p><strong>Approach: </strong><em>In this work, a machine intelligent (MI) based approach is proposed for the classification of tomato leaf disease images (TLDIs) into the bacterial spot (BS), early blight (EB), late blight (LB), leaf mold (LM), septoria leaf spot (SLS), tomato mosaic virus (TMV), tomato yellow leaf curl virus (TYLCV) and healthy (HL) types. The proposed approach is focused on the stacking (hybridization) of Logistic Regression (LRG), Support Vector Machine (SVMN), Random Forest (RFS) and Neural Network (NNT) methods to carry out such classification. The proposed method is compared with other machine learning (ML) based methods such as </em><em>LRG, SVMN, RFS, NNT, </em><em>Decision Tree (</em><em>DTR), </em><em>AdaBoost</em><em> (ADB), </em><em>Naïve Bayes (</em><em>NBY), </em><em>K-Nearest Neighbor</em><em> (KNNH) and </em><em>Stochastic Gradient Descent</em><em> (SGDC) for performance analysis. </em></p> <p><strong>Result: </strong><em>The proposed method and other ML based methods have been implemented using Python based Orange 3.26.0. In this work, 1600 TLDIs having 200 numbers of each type such as BS, EB, LB, LM, SLS, TMV, TYLCV and HL are taken from the Kaggle source. The performance of all the methods is assessed using the performance parameters such as classification accuracy (CA), F1, Precision (PR) and Recall (RC). From the results, it is found that the proposed method is capable of providing better classification results in terms of CA, F1, PR and RC as compared to other ML based methods such as LRG, SVMN, RFS, NNT, DTR, ADB, NBY, KNNH and SGD. &nbsp;&nbsp;</em></p> <p><strong>Originality: </strong><em>In this work, a MI based approach is proposed by focusing on the stacking of LRG, SVMN, RFS and NNT methods to carry out the classification of TLDIs into several types such as BS, EB, LB, LM, SLS, TMV, TYLCV and HL. The proposed approach performs better in terms of CA, F1, PR and RC as compared to LRG, SVMN, RFS, NNT, DTR, ADB, NBY, KNNH and SGDC methods. &nbsp;</em></p> <p><strong>Paper Type: </strong><em>Conceptual Research.</em></p> Kalyan Kumar Jena Krishna Prasad K. Copyright (c) 2022 Kalyan Kumar Jena, Krishna Prasad K. 2022-08-31 2022-08-31 6 2 1 19 10.47992/IJHSP.2581.6411.0083 Development of LsPQM-12 Instrument to Measure Leisure Specific Psychological Well-being and Quality of Life of Mothers of Children with Autism Spectrum Disorder <p><strong>Purpose:</strong> <em>The purpose of this study was to develop a comprehensive tool to identify key components of leisure, thereby, examining the relationship between the prevalence of leisure (PLA) and psychological</em><em> wellbeing (PWB); and its overall effect on the quality of life (QOL) of mothers of children with Autism-Spectrum-Disorder (ASD) with the</em><em> demanding care of the child with autism.</em></p> <p><strong>Design/Methodology/Approach</strong>: <em>A cross-sectional design with interpretivism and an inductive approach a sample of 140 mothers of children with ASD, in India was used to develop this instrument. Structural equation modeling (SEM), partial least squares structural equation modelling (PL-SEM), and chi-square were used to analyze the scale items. Research data was interpreted by exploratory factor analysis and Confirmative factor analysis. Reliability was explored through split-half and internal consistency estimation using Cronbach's alpha.</em></p> <p><strong>Finding/Result: </strong><em>&nbsp;</em><em>The comprehensive outcome of quality of life (QOL) is measured as the result of engaging in the leisure of individual choice for self-replenishment, social connectedness, and happiness in life despite the demanding care of the child with autism. </em><em>The overall unidimensional reliability with Cronbach’s alpha value of the scale is 0.656 having reasonably strong reliability. The construct-wise reliability demonstrated between 0.654 and 0.840 showing a high-reliability level. The validity of the instrument was established by face, content, construct, convergent, and discriminant validity tests. Most importantly the measurement model of the LsPQM-12 instrument has shown 0.935 CFI, 0.097 RMSEA, and 0.053 SRMR.</em></p> <p><strong>Originality/Value<em>:</em></strong> <em>Leisure-specific quality of life of mothers of children with ASD as an outcome of acknowledgment of prevalence of leisure as well as the absence of leisure made possible by the development of this instrument. Thereby integrating daily leisure of short duration despite the demanding care of the child, towards the psychological wellbeing of the mother was the sequel of this study. Appraisal of time of mother’s leisure schedules in parallel with the child’s therapeutic interventions to raise overall QOL is the objective of the study.</em></p> <p><strong>Paper Type:</strong><em> Case study-based analysis.</em></p> Menezes Ida Sylvia K. T. Shwetha Copyright (c) 2022 Menezes Ida Sylvia, K. T. Shwetha 2022-08-31 2022-08-31 6 2 20 40 10.47992/IJHSP.2581.6411.0084 Knowledge, Attitudes, and Practices Associated with Biomedical Waste Management among Students in an Indian Teaching Hospital: A Cross-Sectional Study <p><strong>Purpose: </strong><em>&nbsp;In developing countries, the medical waste management and treatment pose a great deal of concern because of the potential health and environmental hazards presented by this waste. Although India has guidelines on preventing and managing waste, the implementation is still difficult due to technological, economic, and social challenges, as well as insufficient training for the staff, students, in charge. This study aimed to measure the level of knowledge, attitudes, and practices among allied health science, physiotherapy, pharmacy, and nursing students about biomedical waste management.</em></p> <p><strong>Design/Methodology/Approach</strong>: <em>Using a structured questionnaire, data were collected from students of nursing, physiotherapy, pharmacy, and allied health at Nursing, Physiotherapy, and Allied Health Teaching Hospital. Based on the participant responses, statistical analysis was performed to compare the levels of knowledge, attitude, and practices between the study groups.</em></p> <p><strong>Findings/Results</strong>: <em>This study recruited 237 respondents in total, with 59.4% of the female participants and 40.5% of the study respondents representing men.</em> <em>Most (90.8%) of the study population fell within the 21–30 age range. The study analyzed students' knowledge of needle-stick injuries in the allied health sciences, physiotherapy, pharmacy, and nursing fields. Only PhD Scholars from Allied health science and Nursing Students had (&gt;90%) excellent knowledge about this topic. 42 (84%) Nursing, 20 (80%) Pharmacy, 13(26%) Allied health and 35 (70%) Physiotherapy undergraduate’s students had suffered from needle stick injuries in the past 24 months. </em></p> <p><strong>Originality/Value</strong><strong>: </strong><em>According to the study, there is a dearth of knowledge and awareness among students studying allied health sciences, physiotherapy, pharmacy, and nursing at private medical colleges in Tamil Nadu, India, concerning the risks associated with BM waste generation and the related laws and management.</em></p> <p><strong>Paper Type: </strong><em>Empirical Research</em></p> Thirumurugan E Gomathi K Yamuna Kalimunnisha Aathilakshmi Copyright (c) 2022 2022-08-31 2022-08-31 6 2 41 53 10.47992/IJHSP.2581.6411.0085 The Application of Single Photon Emission Computed Tomography (SPECT) to Identify Neuropsychological or Psychiatric Disorders: a New Grandstand for Mental Health Sciences through Radiological Means <p><strong>Purpose:&nbsp;</strong><em>Brain Single Photon Emission Computed Tomography or SPECT scanning has acquired a strong, substantiation-based root over the last few decades, and is currently approved by professional bodies for a variety of reasons pertinent to psychiatric treatment. Unfortunately, only a small number of professionals use SPECT in clinical practice. This article explains why SPECT should be used more widely in clinical practice for difficult patients and lists several clinical applications where it might assist improve patient care.</em></p> <p><strong>Objective:&nbsp;</strong><em>The main objective of this paper is to throw light on the novel psychiatric/ psychological illness diagnosis through radiological means. More than computed tomography and magnetic resonance imaging, nowadays other radiological methods are being used to find out neuropsychological disorders. Here in this paper, the main center of attention is the SPECT scan and its uses in the domain of neuropsychology or psychiatry and what are the disorders that can be ruled out by using SPECT scan.&nbsp; &nbsp;</em></p> <p><strong>Design/Methodology/Approach:&nbsp;</strong><em>To prepare this paper, various secondary data have been collected and scientifically analyzed the contents to remove any vague or irrelevant content. Google scholar, research gate, academia, and various other online authentic platforms have been utilized to collect clinical data. All other unauthentic and nonreliable sources have been removed to make this paper a hundred percentage clear and accurate.</em></p> <p><strong>Findings/Result:&nbsp;</strong><em>The use of radiological images is not a frequent or common picture in the domain of psychiatry or neuropsychology, meanwhile it is not that uncommon to use all these radiological tools to rule out any common or complex neuropsychological or psychiatric disorders. It has also been observed that more than computed tomography or magnetic resonance image, single-photon emission computerized tomography is far better to diagnose as well as to perform differential diagnosis in the domain of all mental health sciences and neurology. It is also found that more than that computed tomography and magnetic resonance imaging, single-photon emission computerized tomography can be utilized to perform almost all complex and common mental problems as well as neurological disorders also.&nbsp; &nbsp;</em></p> <p><strong>Originality and Value:&nbsp;</strong><em>A novel and easily understandable comprehensive approach and interpretation have been made to make this paper useful and digestible to the whole society regardless of one’s educational background and profession. The main and apex aim of this paper is to make society aware of some popular psychological and neurological issues and the importance of the use of SPECT scan to rule out the disorder in a more accurate way.&nbsp; &nbsp;</em></p> <p><strong>Paper Type: </strong><em>Interpretive/ clinical data analysis paper</em></p> Harisoorya A. U. Vidya N. Copyright (c) 2022 2022-09-24 2022-09-24 6 2 54 68 10.47992/IJHSP.2581.6411.0086 Case Study on Certara’s Simcyp PBPK Simulator to Eliminate Lengthy Clinical Trials <p><strong>Background/Purpose:</strong> <em>Analysis and new interpretation of the existing information are equivalent to creating new knowledge. A case study is an example of exploratory research and allows researchers to analyze the available information using a systematic analysis framework. In this paper, a case study on a clinical research simulation software product called Simcyp is offered by a global company Certara to its clients in the pharmaceutical industry. </em></p> <p><strong>Objective:</strong> <em>To know the current status of model-based drug development simulation software, with special emphasis on Certara’s Simcyp software, its features, and variations, its client’s usage pattern to prepare new drugs, its usage in research and developmental contribution during the last 22 years, and analysis of Symcyp as a research division of Certara using SWOC framework and analysis of the Symcip as simulation software using ABCD analysis framework as stakeholder analysis.</em></p> <p><strong>Design/Methodology/Approach:</strong> <em>The case study uses an exploratory research approach where the information is collected from various sources including the company website, its competitor’s website, various magazine articles, and scholarly articles from Google Scholar. The collected information are analyzed systematically using company analysis frameworks, product analysis framework, SWOC analysis framework, and ABCD analysis framework.</em></p> <p><strong>Findings/Result:</strong> <em>Based on the analysis, it is found that Symcyp is a most admired simulation software in the pharmaceutical industry for model-based drug design and development for different varieties of diseases. The strategy of Simcyp division of Certara to satisfy, delight, and enlighten its clients is also discussed.</em></p> <p><strong>Originality/Value:</strong> <em>The case study is based on a systematic analysis of a software product of a company using company analysis frameworks, product analysis framework, SWOC analysis framework, and ABCD analysis framework thereby contributing to interpret the existing knowledge in a new way through new interpretation.</em></p> <p><strong>Type of Paper:</strong> <em>Academic research based case study.</em></p> Architha Aithal Shubhrajyotsna Aithal Aithal P. S. Copyright (c) 2022 2022-10-12 2022-10-12 6 2 69 109 10.47992/IJHSP.2581.6411.0087 Biomarkers in the Sphere of Neuropsychology: An Avant-Grade Stamping Ground By Dint of Histological Tack <p><strong>Purpose:&nbsp;</strong><em>An astonishing amount of work has been put out in recent years to pinpoint biomarkers as possible resources for enhancing psychiatric preventive care, diagnosis, therapeutic response, and therapeutic development. In contrast to those other ailments, psychological illnesses include a diverse range of symptoms that are grouped into diagnostic categories. As a result, persons that have the same psychological disorder have a large deal of therapeutic variation. The above aspect, together with our poor understanding of the neurochemical imbalances driving dissociative ailments, leads to the existing pharmaceutical choices' low effectiveness. In this regard, the discovery of biomarkers in psychology or psychiatry, or any other clinical mental health sciences area is turning out to be crucial for facilitating diagnosis and through the creation of markers that enable the stratification of individuals inside this condition, which may then result in more targeted therapy choices. This evaluation presents a practical description of therapeutic development along with an overview of the idea and several categories of biomarkers to throw light on the subject. Additionally, the developments in this area were compiled and divided into the following groups, including "genetics, transcriptomics, proteomics, metabolomics, and epigenetics".</em>&nbsp;</p> <p><strong>Objective:&nbsp;</strong><em>The main objective of this paper is to shed some light on the area of neuropsychological disorder and its variations as well as common biomarker assessment methods to detect it. Another core objective of this paper is to rule out "omics" techniques used in the domain of neuropsychology or general psychiatry to detect some complicated and common mental disorders.</em></p> <p><strong>Design/Methodology/Approach:&nbsp;</strong><em>This clinical paper is prepared by using secondary data from various official and authentic websites and journal papers. In order to make the paper more accurate and scientific in nature, primary data has also been utilized to build this paper. Expert opinions from neuropsychologists, general psychiatrists, and researchers who are doing research in the domain of neuropsychology have also been taken to guarantee the reliability of the paper.</em></p> <p><strong>Findings/Result:&nbsp;</strong><em>Despite the positive outcomes, there have been few biomarker studies, particularly those that focus on the treatment of mental illnesses. This study's outcome makes a comment on the difficulties that will need to be overcome in the possible future in order to generate credible, trustworthy, and widely applicable biomarkers for mental diseases and their intervention. An essential first step towards the construction of more customized therapy is the detection of characteristics that forecast response to therapy since doing so will decrease drug switching based on trial and error and facilitate the development of novel successful medicines.</em></p> <p><strong>Originality and Value:&nbsp;</strong><em>A scientific and more comprehensive approach has been taken to provide better information about neuropsychological/general psychiatric disorders and their detection by using histological or any other clinically proven methods. A new stratagem is applied to shed light on the topic of neuropsychological illnesses and their detection by using the biomarker method.&nbsp;</em></p> <p><strong>Paper Type: </strong><em>Clinical analysis/interpretive paper</em></p> Harisoorya A. U. Vidya N. Copyright (c) 2022 2022-10-13 2022-10-13 6 2 110 123 10.47992/IJHSP.2581.6411.0088 The Prodigious Indian Vedic Concepts of Psyche or Mind; a New-fashioned Directive of Mental Health Science to Deal with Labyrinthine Clinical Cases by Amalgamating Indian Psychological Concepts and Principles <p><strong>Purpose: </strong><em>The bulk of psychology practice&nbsp;in India as well as in&nbsp;other parts of the world is influenced by western ideas of psychological health and illness. The importance of theology, civilization, and&nbsp;eastern philosophy, together with healthcare, has been largely disregarded by these prominent psychological ideas throughout the last few years or more. They were also developed predominantly for those having an internal control center. To understand what Indian beliefs could give to psychology, one must understand the old Indian frameworks, or put it differently, the grand Hinduism and its huge repository of intellectual information. In this paper, we mainly examine how Hinduism, Indian traditions, and conventional Indian healthcare methods are applied to research the psyche and psychological well-being. </em></p> <p><strong>Objective: </strong><em>This article's main goal is to provide details on psychology as a field from an Indian perspective. These are some of the topics discussed in this study, along with what the aspects of the mind are and what the Indian classics have to say about psychology from a scientific perspective.</em></p> <p><strong>Design/Methodology/Approach: </strong><em>Secondary information that was obtained from a variety of reliable and trustworthy publications and websites was used to write this work. To increase the accuracy and authenticity of this document, the data was carefully and scientifically examined by making references to a number of different publications and subtopics. The data was acquired from a variety of trustworthy and respectable sources, including Academia and Google Scholar. Cross-referencing all the data from websites like Academia, Google Scholar, and others revealed that there wasn't a lot of material from different points of view that were included.</em></p> <p><strong>Findings/Result: </strong><em>Here, a chance has been taken to succinctly synthesize the core principles of the many schools of Indian thought as they relate to understanding human character and behavioral&nbsp;patterns. The aforementioned makes obvious the enormous amount of understanding and knowledge that is a natural component of Indian theories, which has much more to offer psychology students. The significant therapeutic advantages that each way of thinking autonomously provides are very promising for those who provide psychological treatment.</em> <em>Because of this, Indian psychologists should be adaptable to&nbsp;infusing Indian concepts into our therapy, despite our training in contemporary Western psychological institutions. We must objectively assess the significance of our centuries-old beliefs, especially those related to yoga, meditation, and Indian forms of psychoanalysis and psychotherapies, in order to validate them as well as prevent labeling&nbsp;them as relics of third-world mysticism.</em></p> <p><strong>Originality and value: </strong><em>To make this work relevant and palatable to the entire society, independent of one's educational level and career, an innovative and readily accessible complete methodology,&nbsp;and explanation have been developed. The primary goal of this study is to educate the public about certain well-known psychological and other mental health principles found in the Indian system of medicine (Ayurveda), as well as the great Indian epics and their relevance to the present and the future.</em></p> <p><strong>Paper Type: </strong><em>Clinical/health analysis paper </em></p> Harisoorya A. U. Vidya N. Copyright (c) 2022 2022-10-27 2022-10-27 6 2 124 134 10.47992/IJHSP.2581.6411.0089 Brain Diseases Detection and Prediction Using DeepQ Convolution Neural Network in Colab <p><strong>Purpose:</strong> <em>The paper aims to analyze the detection and prediction of brain diseases for future betterment using Convolutional neural network.</em></p> <p><strong><em>Objectives:</em></strong><em> The main objective of this journal paper is to find the most correct technique of detective work in various brain diseases like Alzheimer’s disease and brain tumours using machine learning and deep learning-based approaches.</em></p> <p><strong>Methodology:</strong> <em>An automatic tool for neoplasm classification based on magnetic resonance imaging information is given wherever sample image slices are fed to a convolutional neural network (CNN) supported by the ResNet Squeeze and Excitation model. Alzheimer's disease misdetection system Convolutional Neural Network (CNN) design using resonance imaging (MRI) scan images.</em></p> <p><strong>Results:</strong> <em>Create an app-based user interface for hospitals that enables medical professionals to quickly determine the effects of tumours and Alzheimer's and recommend treatments. We can attempt and make predictions about the location and severity of mental illnesses from volume-based 3-D images because the performance and complexity of ConvNets depend on the input data visualisation. Improvements are made to surgery planning, education, and computer guidance by creating 3-D anatomical models from specific patients.</em></p> <p><strong>Originality/Value:</strong> <em>The results provide a brief overview of brain diseases detection and prediction with better improved form accurately.</em></p> <p><strong>Type of Paper:</strong> <em>Conceptual research paper.</em></p> A. Sasi Kumar Aithal P. S. Copyright (c) 2022 2022-11-04 2022-11-04 6 2 135 148 10.47992/IJHSP.2581.6411.0090 A Case Study on Coronary Heart Disease using Machine Learning Techniques <p><strong>Background/Purpose: </strong><em>We have seen an increase in coronary heart disease and heart attack risk in recent years. This is a case study on Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bengaluru to get a better understanding of the heart related ailments and their related symptoms. The hospital specializes in cardiology, cardiothoracic surgery and paediatric cardiology. Based on the symptoms various ailments are diagnosed and treated with different treatments like angioplasty, placement of stent, lifestyle changes and medicines. As part of the research, various health parameters will be collected and analyzed for diagnosing heart related ailments using Machine Learning methods. Determining the appropriate Machine Learning technique to achieve maximum accuracy is the key to achieve a better treatment and prevention of mortality.</em></p> <p><strong>Design/Methodology/Approach: </strong><em>This study was undertaken using secondary sources, such as website of Sri Jayadeva Institute of Cardiovascular Science and Research, journals, conference articles, the internet and scholarly articles. The SWOT framework is used to analyse, and present, the information acquired from web articles, scholarly papers and other sources.</em></p> <p><strong>Findings/Results: </strong><em>Heart ailments can be predicted using a few key parameters which can help in avoiding mortality. For this purpose machine learning algorthims, Neural Networks, Particle Swarm algorithm and many more can be applied on those medicial parameters.</em></p> <p><strong>Originality/Value: </strong><em>This paper reports an exhaustive and comprehensive overview of Coronary Heart Diseases and the treatment provided by Jayadeva Cardiology Hospital on different data collected.</em></p> <p><strong>Paper Type: </strong><em>Case study-based Research Analysis</em></p> Ramanathan G. Jagadeesha S. N. Copyright (c) 2022 2022-11-16 2022-11-16 6 2 149 165 10.47992/IJHSP.2581.6411.0091 Brain Regions and its Correlates of Multifarious Sexual Desire Disorders from the Vantage Point of Neuropsychology <p><strong>Purpose: </strong><em>The most a&nbsp;set of illnesses that impact both men,&nbsp;as well as women; include&nbsp;sexual aversion disorder (S.A.D) and hypoactive sexual desire disorder (H.S.D.D). Nevertheless being common, those same two illnesses are frequently ignored by medical professionals as well as clients owing to their private&nbsp;and more&nbsp;intimate character. In order to accurately handle our clients' sexual difficulties and execute effective therapy, we as clinicians must go over our own discomfort and in this paper, common sexual disorders will be addressed with the touch of their&nbsp;neuropsychological etiology.&nbsp; </em></p> <p><strong>Objective: </strong><em>The major objective of this article is to describe numerous sexual desire issues and how they relate to the brain. Erectile dysfunction and a few other sexually transmitted diseases are at least known to people (STDs). In addition to having a limited understanding of sexual problems brought on by viruses and other microbes, society also has little to no awareness of those brought on by brain injury or the dysfunction of certain brain areas. Therefore, one of the primary goals of this essay is to clarify popular and widespread diseases of sexual desire and their relationship to illnesses of the brain or other pathologies.</em></p> <p><strong>Design/Methodology/Approach: </strong><em>The scientific and secondary clinical data for this work were gathered from reliable sources like Google Scholar, Academia, Researchgate, and others. The results of national and international studies on the topic issue have been assembled methodically and scientifically. In order to make this document more scientifically sound, reliable, and accurate, each scientific journal research result underwent a thorough, methodical, and scientific assessment. To increase this paper's uniqueness and reliability, we gathered the thoughts of a variety of experienced experts.</em></p> <p><strong>Findings/Result: </strong><em>According to emerging knowledge, the temporal areas play a critical role in the regulation of erotic functioning. The amygdala is assumed to play a major role in managing human sexual impulses. This approach emphasizes&nbsp;the need for more study into the neural mechanisms behind this fundamental and permanent aspect of human nature. It is hoped that such an examination would lead to more studies, particularly through key brain regions that have already been identified by researchers. Another viewpoint is that sexual arousal disorders are poorly understood and treated, which leads to significant comorbidity as well as mortality in romantic relationships.</em></p> <p><strong>Originality and Value: </strong><em>An innovative attempt has been made to provide information on a number of common sexual desire problems and how they may be treated with psychotherapy and psychopharmacology. Information is gathered from researchers and subject-matter specialists to make the paper vibrant and precise. The report was written so that everyone who read it, regardless of academic background, could grasp this clinical problem. A fresh attempt has been undertaken to spread a&nbsp;clinical understanding of sexual desire problems and their&nbsp;relationship to the brain in a more straightforward manner. This paper was created in the hopes that readers will be able to comprehend problems of sexual desire by bearing in mind how they relate to the brain.</em></p> <p><strong>Paper Type: </strong><em>Clinical analysis paper</em></p> Harisoorya A. U. Vidya N. Copyright (c) 2022 2022-11-24 2022-11-24 6 2 166 180 10.47992/IJHSP.2581.6411.0092