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1969 articles for “rokitansky’s disease.”
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Plant Disease Detection Using Machine Learning
Abstract: Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 07–19 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 Read article
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Engineering Anti-Tau Monoclonal Antibodies for Alzheimer’s Disease and Parkinsonian Tauopathies: A Biotechnological Perspective
Abstract: Neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease are characterized by progressive neuronal loss associated with abnormal protein aggregation. Among these, tauopathies are defined by the accumulation of hyperphosphorylated tau protein, which plays a central role in disease progression. Advances in biotechnology have enabled the development of anti-tau monoclonal antibodies (mAbs) as promising therapeutic agents aimed at neutralizing pathological tau species and inhibiting their propagation. This review provides a …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 52–58 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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A Study of Shad Vidha Kriya Kaal and Its Importance in Prevention Diagnosis and Treatment of Diseases
Abstract: Ayurveda is science of life and its main aim is to maintain healthy status of healthy living being, i.e., prevention and treatment of disease. Concept of Shad Vidha Kriya kaal explained by Acharya Susruta is capable to full fill both of these aims. As the word Kriya kaal itself indicates, it is the duration in which action of vitiated doshas occur on the body during manifestation of disease. Acharya Susruta …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 7, Issue 2, 2018 · pp. 1–5 Read article
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Evaluation of the Knowledge Regarding Risk Factors of Coronary Artery Disease (CAD) among Patients Attending Medical OPD in Doon Medical College Hospital, Dehradun
Abstract: Introduction: The acceleration of Coronary Artery Disease (CAD) has become an alarming health problem across the globe. The Global Burden of Disease study has reported that by the year 2025, CAD would be the major cause of death all over the world including the developing countries. CAD is the most common cause of death in country like India. CAD will be the single largest cause of disease burden globally by …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 2, 2019 · pp. 28–32 Read article
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Awareness About Lifestyle Diseases Associated Risk Factors in School Going Children in Delhi
Abstract: Lifestyle means a pattern of individual practices and personal behavioral choices that are related to elevated or reduced health risk. The diseases which primarily arise from the abnormal lifestyle of a person are grouped under the term “Lifestyle Diseases”. For younger population, the risk of lifestyle disease looms larger. Therefore, this paper aimed to find the prevalence and awareness of lifestyle disease related risk factors in school going children aged …
Published in Journal of Nursing Science & Practice · Vol. 1, Issue 1-2, 2011 · pp. 11–20 Read article
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An Open Clinical Study to Evaluate the Efficacy of Shirobasti and Nasya with and without Levodopa in the Management of Kampavata w.s.r. to Parkinson’s Disease (PD)
Abstract: Background: Kampavata (Parkinson’s disease), considered as Vata Nanatamaja disorder, is the most common progressive neurodegenerative disorder characterized by bradykinesia, resting tremors, muscular rigidity, shuffling gait and flexed posture accompanied by a variety of non-motor symptoms, including autonomic, sensory, sleep, cognitive and psychiatric disturbances. Aim and Objectives: To study the effect of Shirobasti and Nasya in the management of Kampavata (PD) with levodopa and without levodopa. Materials and Methods: The present …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 8, Issue 3, 2021 · pp. 15–28 Read article
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To Study Prevalence of Celiac Disease in Chronic Diarrhoea Patients in North India Region
Abstract: Celiac disease (CD) is a disorder of an inflammatory T-cell response to the proteins called “gluten” and characterized by the presence of typical auto antibodies and histological alterations of the small bowel mucosa. It is a common but frequently unrecognized disease. To study the prevalence of celiac disease in chronic diarrhoea patients in north India region and study the effects of gluten free diet in these patients clinically, serologically and …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 1, 2015 · pp. 27–30 Read article
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An Evaluation of the Efficacy and Safety Profile of Inula Racemosa in Patients of Restrictive Lung Diseases
Abstract: In this paper, we explain the procedure to evaluate the efficacy and safety profile of Inula racemosa in patients of restrictive lung diseases. The patients included in this study were selected from the outpatient clinic of a tertiary care hospital in North India. The present study was initiated on 45 patients suffering from restrictive lung diseases, 31 of these patients were followed up for 6 weeks. Remaining patients did not …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 3, 2015 · pp. 18–21 Read article
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Effect of Neuromuscular Electrical Stimulation (NMES) on the Measures of Hyolaryngeal Elevation during Swallow in Individuals with Parkinson’s Disease
Abstract: Inadequate hyolaryngeal elevation is one among the leading cause of aspiration and dysphagia in individuals with Parkinson’s disease. Treatment protocols specific in strengthening the hyolaryngeal elevation are seldom studied in this population. Neuromuscular Electrical Stimulation (NMES) for swallow is a recent technical advancement in the arena of dysphagia rehabilitation that targets on stimulating the laryngeal extrinsic and the suprahyoid muscles, responsible for adequate movements of the hyolaryngeal complex. The literature …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 12, Issue 2, 2022 · pp. 18–25 Read article
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Reviewing the Role of Exercise as a Key to Prevention of Chronic Diseases from the Unani Perspective
Abstract: Chronic diseases are the leading causes of death and disability worldwide. Lack of riyazat is a core cause of most chronic diseases. The body rapidly mal-adjusts to insufficient physical activity, and if continued, results in significant waning in both total and quality years of life. In Unani system of medicine, riyazat is a very crucial and constructive tool for maintaining the health. Moreover, many crucial recommendations of riyazat have been …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 5, Issue 1, 2018 · pp. 32–36 Read article
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Water Sanitation and Waterborne Disease Incidence among Households: A Cross-Sectional Study
Abstract: The study was conducted to assess water sanitation practices and the incidence of waterborne diseases among households in a selected ward of Koodalloor Panchayath, Kottayam, Kerala. The objectives were to assess the sources of household water, evaluate water sanitation and safety practices, and identify the incidence of waterborne diseases among family members during the previous year. A community-based descriptive study design was adopted. A total of 138 households were selected …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 26–30 Read article
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To Assessment of the Effectiveness of a Structured Educational Program on Women's Knowledge of Sexually Transmitted Diseases in Rural Areas of Ludhiana, Punjab: A Quasi-experimental Study
Abstract: Background: Maintaining good health is of immeasurable value, as it empowers individuals to lead socially and economically fruitful lives. However, various disorders have the potential to disrupt one's health. Among these, sexually transmitted diseases (STDs) are the most prevalent disorders affecting the reproductive system and other bodily systems, resulting in significant consequences for both families and society. Sexually transmitted diseases (STDs) can be triggered by various microorganisms, including bacteria (like …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 19–26 Read article
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Transformative Breakthroughs: Revolutionizing Potato Disease Detection Through Machine Learning
Abstract: Advancements in agricultural technology and the integration of artificial intelligence for diagnosing plant and leaf diseases are crucial for sustainable agricultural development. Conditions like early blight and late blight exert a notable influence on both the quality and quantity of potato harvests. Identifying these leaf diseases manually demands significant labor and a considerable level of expertise. Therefore, efficient, and automated methods for disease detection are essential to improve potato production. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 54–62 Read article
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A Pre-experimental Evaluation of a Structured Educational Program on Awareness of Mosquito-borne Diseases in Senior Secondary School Students in Punjab
Abstract: Introduction: Mosquitoes constitute the most important single family of insects from the standpoint of human health. They are found all over the world. The four important groups of mosquitoes in India that are related to disease transmission are the Anopheles, Culex, Aedes, and Mansonia. Aims: The aims of the study are to assess the effectiveness of structured teaching program on knowledge regarding mosquito-borne diseases among students of senior secondary schools …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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The Impact of Climate Change on Infectious Diseases: Potential Risks and Mitigation Strategies
Abstract: As we confront the pressing challenge of climate change, it's vital to recognize its intertwined connection with infectious diseases. We must now navigate a future that combines strong public health interventions, environmental stewardship, and strong policy actions as we stand at the crossroads of crises. In an attempt to lessen the drastic effects of climate change on the dynamics of disease transmission, this study identifies potential risks and creative solutions. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 21–32 Read article
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Review of Ayurvedic Drugs on Acid-peptic Diseases Regarding Its Personalized Management
Abstract: Acid-peptic Disease (~Amlapitta) is an illness wide-spread all around the world. In Ayurveda, Vidahi (which cause burning) and Pitta (dosha responsible for metabolic activities) aggravating diet and stressful –sedentary life-style has been stated as one of the leading cause for acceleration of Amlapitta. Detailed reviewing of drugs given in Ayurvedic texts are done according to specific stage of disease, Amlapitta Dosha predominance, chronicity, associated conditions, dosage, Anupana etc. Screening the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 24–38 Read article
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A Perspective Review on Role of Environmental Pollutants in Developing Neurodegenerative Diseases
Abstract: As human society progresses towards industrialization, an excess number of environmental pollutants are released to our ecosystem, which significantly contribute in causing various health issues primarily associated with neurodegenerative diseases such as cognitive disorder, dementia, anxiety, Alzheimer, Parkinson etc. Because of their high global occurrence, these diseases have attracted attention in recent decades, however, the etiology of these diseases remains unclear. Pollutants are discharged into the environment by natural events …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 1–18 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article