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1969 articles for “rokitansky’s disease.”
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Periodontal Diseases Contribution to Cardiovascular Disease: An Update on the Associations and Risk
Abstract: Periodontal diseases have long been recognized as a humankind health problem. Awareness of the destructive nature of periodontal diseases and the importance of an impervious control of bacterial plaque are the basic concepts of periodontal treatment. In the past decade, there has been a conceptual shift from periodontal diseases; as an oral problem to periodontitis having an impact on our systemic health. Recent evidence suggests a strong relationship between periodontal …
Published in Research and Reviews: A Journal of Dentistry · Vol. 8, Issue 3, 2017 · pp. 18–25 Read article
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The Comparative Study of Health-Related Problems in Rural and Urban among the Common People in Systemic Diseases Like Metabolic and Endocrine Diseases
Abstract: The systemic and metabolic diseases are more common and complicated problems in modern health due to rapid disease development in people and poor health management. The systemic, metabolic diseases like diabetes mellitus, hypertension, HIV/AIDS, rheumatoid arthritis, SLE (systemic lupus erythematous) and endocrine diseases, parathyroid, hypothyroid, hyperthyroid, endocrine disease growth hormone deficiency and others etc. These diseases progress more due to rapid life style modifications in rural and urban population. The …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 3, 2018 · pp. 1–5 Read article
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Assessment of Comorbid Illness Among Patients with Chronic Kidney Disease at Selected Hospitals in Madurai
Abstract: Chronic kidney disease (CKD) is a comprehensive term encompassing kidney damage or a sustained reduction in the glomerular filtration rate over a period of three months or longer. CKD is linked to a diminished quality of life, heightened healthcare costs, and premature mortality. The main objective of this study was to identify the comorbid illnesses among the patient with chronic kidney disease and to associate the comorbid illness with their …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 2, 2023 · pp. 8–13 Read article
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A Comprehensive Analysis of Alzheimer’s Disease
Abstract: Alzheimer's disease, the most prevalent form of dementia, is a progressive neurological disorder characterized by cognitive decline, particularly in memory function. The condition manifests in two primary forms: familial Alzheimer’s disease, affecting individuals under the age of 65 years, and sporadic Alzheimer’s disease, which constitutes the majority of cases and primarily afflicts adults aged 65 years and older. The prevalence of Alzheimer’s disease is influenced by various factors, such as …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 2, 2023 Read article
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In vivo Modulatory Effect of Clerodendrum Splendens (Glory Blossom) in Aluminum Induced Alzheimer Diseases and Lonchocarpus Sericeus in Rotenone Induced Parkinson’s Disease on Na+/K+ Atpase (Sodium Pump) in the Cerebral Tissues of Male Albino Wister Rats
Abstract: Elegant research has shown that plants are useful for both curative and preventive purpose on the humans populous. Prevalent among diseases associated with humans are neurological diseases which affect a large sector of the population especially the elderly. The most common neurological diseases are Parkinson and Alzheimer disease which affect a large sector of the brain and also cause an imbalance in brain electrolyte. Among such electrolytic mechanisms of the …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 2, 2023 · pp. 31–36 Read article
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Design Simulation and Implementation of a Microcontroller Based Electronic Notification System for Disease Surveillance
Abstract: Infectious disease outbreaks have been a challenge in the public health sector, and developing countries like Nigeria are not an exception; the rate of such outbreaks has risen within recent years. The recent re-emerging and new infectious disease outbreaks in Nigeria, including the Ebola virus disease and other epidemic-prone diseases, necessitate a rapid public health response. As a result, it becomes necessary to improve the current system for notifying and …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 42–52 Read article
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Machine Learning Techniques for Early Detection of Heart Disease
Abstract: Cases of heart disease are increasing rapidly, thus it's important and concerning to be aware of any potential ailment beforehand. This diagnosis is a difficult task that must be completed fast and precisely. The primary goal of this study is to determine which patient, based on different medical features, has a higher chance of having heart disease. We created a heart disease prediction algorithm based on the patient's medical history …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 16–21 Read article
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Oral Manifestation of Crohn's Disease: A Case Report and literature review Oral Manifestation of Crohn's Disease: A Case Report and literature review
Abstract: Crohn’s disease is a chronic granulomatous inflammatory disorder that can affect any part of the gastrointestinal tract from the mouth to the anus with the most common localization being the ileocecal region. This is a case of 17 years old young Sudanese boy presented to Khartoum Teaching Dental Hospital complaining of a swelling on the left side of his face And on the lower lip.Histopathological result show non-caseating giant cell …
Published in Research and Reviews: A Journal of Dentistry · Vol. 12, Issue 1, 2021 · pp. 23–27 Read article
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A narrative review on cardiovascular disease due to the role of deficiency of Vitamin D and its management
Abstract: Cardiovascular disease is the prevalent cause of morbidity and mortality in the world, affecting many millions of individuals every year. Atherosclerosis, a chronic inflammatory condition that involves different cell types, several cytokines and adhesion molecules, is the underlying cause of cardiovascular disease. Vitamin D plays a pivotal role in bone homeostasis and calcium metabolism. Though, current research has specified additional helpful effects of vitamin D on the cardiovascular system. Vitamin …
Published in Research and Reviews: A Journal of Medicine · Vol. 11, Issue 2, 2021 · pp. 9–20 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Common Diseases of Silkworm and Their Management – A Comprehensive Overview
Abstract: Silkworms (Bombyxmori L.), pivotal to the sericulture industry, are susceptible to various diseases that significantly impact cocoon production and quality. Common silkworm diseases include viral, bacterial, fungal, and protozoan infections. Prominent viral diseases, such as nuclear polyhedrosis (NPV) and cytoplasmic polyhedrosis (CPV) often cause mass mortality in larvae. Bacterial diseases, like flacherie, are typically induced by poor hygiene and environmental stress. Fungal infections, including muscardine caused by Beauveria bassiana, proliferate …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 22–28 Read article
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Artificial Intelligence-based Chatbot for Disease Prediction
Abstract: Nowadays leading a healthy lifestyle is very important. Sometimes it is even difficult to find proper medical consultation in unsocialized and remote areas. One such solution to these issues is the development of an Artificial Intelligence based Chatbot for Disease Prediction. A Chatbot is a software program that simulates human conversations, through AI’s Natural Language Processing (NLP) capability. A text-to-text chatbot for disease prediction can involve patients into an interactive …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 29–36 Read article
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Impact of Malnutrition on lipid profile in chronic kidney disease patients in Bundelkhand
Abstract: The present study was carried out to identify the role of malnutrition and its relationship for the development of cardiovascular disease (CVD) in chronic kidney disease (CKD) patients taking hemodialysis. We conducted an analytical study with 100 patients. It was carried out over one-year period, from February 25, 2017 to March 30, 2018. The inclusion criteria were the patients who have been on hemodialysis for at least past three months …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 2, 2019 · pp. 17–21 Read article
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Disease Prediction Using Machine Learning (ML)
Abstract: A technique called Machine Learning Disease Prediction uses symptoms reported by users or patients to forecast disease. The user-provided symptoms are entered into the system, and it outputs the disease probability. In disease forecasting, various popular supervised machine learning methods are known to be utilized. These algorithm estimates the likelihood of a disease occurrence. Precise analysis of medical information will support timely disease detection and management of patients based on …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 40–48 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 31–40 Read article
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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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A Clinical Study based Observation on Prevalence of Altered Liver Enzymes among Patients of Hepatobiliary Diseases Attending National Institute of Unani Medicine, India
Abstract: Background: Hepatobiliary disease is a major health problem responsible for millions of deaths annually. As reported, more than 40 million deaths occur annually in South-East Asia Region due to hepatobiliary diseases. This study was conducted as a clinical trial to assess the efficacy of Unani formulation, from which the data on prevalence of altered liver enzymes among patients of hepatobiliary diseases in which the study participants were collected and compiled …
Published in Research and Reviews: A Journal of Medicine · Vol. 11, Issue 1, 2021 · pp. 5–11 Read article