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648 articles for “Medical Data”
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article
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A Study to Assess the Effectiveness of Educational Intervention on Knowledge Regarding Palliative Care Among Nursing Students in Selected Nursing College of Kashmir
Abstract: Palliative care is a relatively new specialization, having been reintroduced in 1967. Palliative care, according to the World Health Organization (WHO), is a method that improves patients' and their families' quality of life by concentrating on symptom avoidance and relief. Suffering is alleviated via early detection, precise evaluation, and treatment of physical, psychological, and spiritual pain and associated disorders. While cancer patients continue to be the most common recipients of …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 31–38 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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The Concept of Guillain-Barré Syndrome (GBS) in Unani Medicine and the Potential Role of Unani Pharmacology in Its Management
Abstract: Introduction: Guillain–Barré Syndrome (GBS) is an autoimmune neurological disorder characterized by progressive muscle weakness and paralysis due to immune-mediated damage to the peripheral nervous system. Conventional treatments focus on immunotherapy and supportive care, but alternative approaches, such as Unani Medicine offer promising holistic management strategies. Unani Medicine attributes GBS to humoral imbalance, particularly an excess of Balgham (Phlegm) affecting nerve function, leading to weakness and dysfunction. Objective: This study aims …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 32–52 Read article
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Artificial Intelligence for Improved Healthcare: A Case Study and Applications
Abstract: Artificial intelligence (AI) in healthcare ushers in a revolutionary period of innovation, but it also brings with it significant ethical dilemmas. This paper explores the complex relationship between AI and healthcare, emphasizing both its useful applications and the moral conundrums that arise. Ethical issues span a wide range, including patient privacy, transparency, accountability, and the unintentional reinforcement of biases in AI algorithms. Privacy concerns take center stage as healthcare providers …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Socioeconomic Inequalities in Utilisation of AYUSH Systems of Medicine in North-East India: Evidence from NSS 79th (2022–2023) Round on AYUSH
Abstract: Background: Socioeconomic inequality in healthcare Utilisation continues despite policy focus on universal health coverage and Sustainable Development Goal 3. India's traditional, complementary, and alternative medicine systems are generally termed as AYUSH. AYUSH has been consolidated into the national health policy; however, empirical findings on its distributive equity persist as limited. This study estimates and decomposes socioeconomic inequality in Utilisation of AYUSH systems of medicine among the adult age group 15 …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 29–42 Read article
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Cross-Sectional Study on Socio-determinants of Mosquito-borne Diseases
Abstract: Background: Of all the insects, mosquitoes undoubtedly cause the greatest suffering both to man and animals. Mosquito has been not only a nuisance but also a killer. The objectives were to assess the socio-determinants of mosquito-borne diseases and to find out the existing knowledge on preventive measures. Methods: All the consecutive patients diagnosed as mosquito-borne diseases admitted in the Medicine ward of PBMH, Kalinga Institute of Nursing Sciences (KINS), KIIT …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 2, 2019 · pp. 5–10 Read article
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A Critical Analysis and Evidence-Based Study on The Impact of Sensory Health Screenings and Its Risk Factors In the Prediction and Prevention of Organ Damages
Abstract: ABSTRACTSensory organs operate the senses of vision, hearing, touch, smell and taste. In order to assess the type, severity, and locations of aberrant feeling, sensory examination is utilised. If the patient complains of diminished sensation, a sensory system exam is required. The main aim is to find out the sensory changes/impairments and its risk factors predictions in prevention of organ damages and to study the role of clinical pharmacist/Doctor of …
Published in Research and Reviews: A Journal of Health Professions · Vol. 12, Issue 3, 2022 · pp. 46–62 Read article
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Revolutionizing Healthcare: AI in Drug Discovery and Pharmacy Practices
Abstract: Artificial intelligence (AI) has emerged as a revolutionary element across numerous sectors, especially in healthcare and pharmacy. AI systems that can execute functions typically necessitating human intelligence, such as learning, problem-solving, and speech recognition, are poised to transform drug discovery, enhance patient care, and reshape pharmacy practices. AI can help discover drugs with predicting interactions with drug destinations, virtual screening, drug reuse, and drugs that accelerate the development of effective …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 94–100 Read article
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Alternative Medicine in Punjab: Gendered Patterns in Efficacy and Safety Outcomes
Abstract: Background: Alternative medicine remains an integral part of healthcare practices in Punjab, India. However, disparities based on gender and regional differences influence its usage, efficacy, and safety outcomes. Objective: To assess gendered and regional patterns in the use, perceived benefits, and safety concerns of alternative medicine among adults in Punjab. Methods: A mixed-methods, cross-sectional study was conducted among 620 adults (300 men, 320 women) from both urban and rural regions …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–12 Read article
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Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1109–1134 Read article
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Heavy Metal Exposure in Industrial Workers of Punjab
Abstract: Background: Particularly for those in sectors such textiles, metallurgy, and electronics, heavy metal exposure in industrial environments is a major health issue. A range of negative health effects can result from metal exposure including lead (Pb), cadmium (Cd), chromium (Cr), arsenic (As), and nickel (Ni), including neurological, pulmonary, and renal ones. There is little information available on the degree of heavy metal exposure industrial workers in Punjab, India experience. Objective: …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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Variations of Macroplastics in Water and Sediments at Bundu Waterfront, Upper Bonny Estuary, Rivers State, Nigeria
Abstract: Macroplastic pollution has become an increasingly severe environmental challenge, particularly in urban waterfronts where waste management is inadequate. Bundu Waterfront of the Upper Bonny Estuary in Port Harcourt, Rivers State is a sink for macroplatics from careless disposal of solid wastes and inadequate management thus affecting the biological integrity and aquatic life of this estuary. The resultant impact of the macroplastics on abiotic factors through the evaluation of different floating …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 12–22 Read article
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Evaluate the effectiveness of nurse led interventions on knowledge and practice regarding nursing care of chest tube drainage among nursing personnel’s working at medical and surgical wards of PGIMS Rohtak Haryana
Abstract: Introduction: The present study was conducted to determine the nursing personnel’s level of knowledge and practice the care of chest tube drainage to improve the quality of nursing care. A chest tube insertion is surgical procedure in which a hollow, flexible drainage tube is inserted through the side of the chest into the plural space in order to drain the plural cavity air, blood, pus or lymph. The water seal …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 84–90 Read article
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Demand for AYUSH Healthcare in India: Multinomial Logit Estimation of the Utilisation of Indian System of Medicine
Abstract: Despite the widespread use of the allopathic system of medicines, the indigenous non-allopathic systems of medicine are widely practiced and used in India. The increasing healthcare costs of the modern corporate type of hospitals and the less expensiveness of local herbal medicines drive the use of Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homeopathy (AYUSH) hospitals for the treatments of chronic diseases, acute illness episodes, maternity health care and catastrophic …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 10, Issue 2, 2021 · pp. 18–26 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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IoT Based Healthcare Assistant
Abstract: According to research, approximately 3000 people die monthly due to carelessness in health-related issues, out of which major portion of people consists of elderly individuals. This is because either they don’t have time for themselves and forget about their health management due to a heavy workload or forget to get regular health checkups which are needed to be done monthly or quarterly. In order to assist such people this internet …
Published in Journal of Instrumentation Technology & Innovations · Vol. 11, Issue 1, 2021 · pp. 25–29 Read article
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Computational Investigation of Withania somnifera Compounds Targeting S. pombe SMN YG-Dimerin Spinal Muscular Atrophy: Insights from Molecular Docking Analysis
Abstract: Objectives: The primary objective of this study is to determine the potential of phytochemical constituents of Withania somnifera in treating spinal muscular atrophy, an autosomal recessive genetic neurodegenerative disorder, through computational techniques. To investigate the binding affinity of phytocompound to the target protein S. pombe SMN YG-Dimer through molecular docking. Besides, evaluating the pharmacological attributes of phytochemical constituents to assess their ability as an ideal prospect for developing therapeutic medication. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 39–52 Read article
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Level of Adherence to Hypertension Treatment Using Morisky Medication Adherence Scale, Mekelle, Ethiopia
Abstract: Hypertension is defined as a systolic blood pressure greater than 140 mm Hg and a diastolic blood pressure greater than 90 mmHg over a sustained period, based on the average of two or more blood pressure measurements taken in two or more contacts with the health care provider after initial screening. Hypertension treatment is many sided, requiring enduring adherence for anti-hypertension medications and lifestyle instructions as well. Lots of factors …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 6, Issue 2, 2016 · pp. 1–10 Read article