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648 articles for “Medical Data”
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Monitoring of Disable Patients with their Medical conditions using K-NN Classifier Algorithm
Abstract: In this paper a general procedure for the infirmity assessment of patients with ineptitudes is presented. It relies upon consistently activity examination using ordinary accelerometer sensors conveyed by the noticed person while at home without clinical staff present. The k-NN classifier is being used to study six different types of activities after preliminary data pre-planning, followed by further decreases in estimation and confirmation time. Promising results are gotten which could …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 1–7 Read article
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Nanoparticles in Cutting-edge Healthcare: Current Use and Emerging Issues
Abstract: Nanoparticles are sub-micron-sized particles (less than 100 nm on average). Using these materials as contrast agents in imaging and as carriers for medication and gene transfer into malignancies has given them a prominent place in contemporary medicine. Nanoparticles allow for previously inconceivable levels of analysis and therapy. However, nanoparticles provide new societal and environmental challenges, especially regarding toxicity. In this overview, we discuss how nanoparticles have benefited contemporary medicine and …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 105–118 Read article
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A Study on Feature Subset Selection in Feature Streams of Dynamic Data
Abstract: As the use of real-time data with high dimensions continues to expand across various domains, selecting important features from the dataset is a key step to improve the predictive accuracy and time taken to build a machine learning model. In datasets where not all features are available at the same time and we are unaware of the total number of features, and features arrive at different time stamps, for example, …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Sustainable Advances in Oral Pathology: The Impact of Artificial Intelligence
Abstract: Oral cavity cancers constitute about 4% of all malignant neoplasms. More than 9,900 new cases are reported from the developed countries yearly, and the 5-year mortality rate is higher than 39%. In Europe, the highest rates occur in Hungary, Croatia, and other Central and Eastern European countries; high levels are also seen in India, Pakistan, and Bangladesh. The management of endosseous pathologies presents considerable challenges because they often exhibit no …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 24–27 Read article
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Sensors based Human Visual System: e-Retina
Abstract: This study explores the potential of bio-inspired sensor design to replicate the adaptive and highly efficient nature of the human visual system and e-retina. This study presents a novel sensor array incorporating foveated vision principles and dynamic range adaptation mechanisms. Our study demonstrates the improved performance of this system in complex visual scenes, particularly in low illumination and high-contrast scenarios. This study highlights the advantages of mimicking biological principles in …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 14–22 Read article
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Transforming the Landscape of Advanced Dentistry: Incorporating Intelligence Augmentation (IA) and Artificial Intelligence (AI) to Propel Progress-A Narrative Review.
Abstract: Digitization is about to transform most sectors, and it is important to comprehend its role and socio-economic consequences. One of the infected sectors is dentistry and this article genericizes AI and IA in dentistry. It analyzes the advancement of AI and IA to supersede human capabilities using a comparative analysis of these technologies with current deployment. One of the challenges is to attain sufficient data input for AI and the …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 23–29 Read article
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Efficient and High Power InGaN Based MQW Blue Laser
Abstract: AbstractThis research work deals with the design of a 450 nm MQW blue laser to get the optimized output power and efficiency. The maximum output power is found for an injection current of 120 mA. This laser is designed to improve the performance of a MQW blue laser to get an efficient and high power output. For this purpose the structure is designed using In0.235Ga0.765N/Al0.07Ga0.93. A high performance of the …
Published in Trends in Opto-electro & Optical Communication · Vol. 4, Issue 3, 2014 · pp. 14–22 Read article
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Ubiquitous Computing –Remote Patients Healthcare Devices using Wireless Technology
Abstract: ABSTRACTThe evolving concepts of pervasive computing, ubiquitous computing and ambient intelligence are increasingly influencing health care. The goal of this paper is to monitor the remote patient’s health status and provide asecure healthcare system using GSM technology with the help of wearable computers .To achieve this vision, several technological issues have to be solved: (i) Body sensors to monitor vital functions like ECG, BP andBody Temperature have to be developed; …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 2, 2012 · pp. 35–41 Read article
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Sleep Disturbance Among Medical and Paramedical Students at Selected Colleges in Madurai
Abstract: Sleep disturbance makes it difficult for most people to fall asleep. Sleep disruption leads to sleep disturbance. Furthermore, many people are unaware of the causes of sleep disturbances. The prevalence of sleep problems varies, but it is estimated that 22 % to 65 % of the population suffer from sleep disturbance. The purpose of this study is to estimate the amount of sleep disturbance among medical and paramedical students at …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 2, 2022 · pp. 1–8 Read article
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A Study to Assess Respectful Maternity Care (RMC) as Perceived by Postnatal Mother in Postnatal Ward of Selected Hospital in Kolkata, West Bengal
Abstract: Abstract A descriptive study was conducted to assess respectful maternity care (RMC) as perceived by postnatal mother in postnatal ward of selected hospital in Kolkata, West Bengal. The study population were postnatal mothers. The setting was postnatal ward of one medical colleges of Kolkata. A valid structured interview schedule was used for assessing RMC. Data were collected by interviewing postnatal mothers admitted in postnatal ward. Findings of the study depicts, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 12, Issue 3, 2022 · pp. 29–39 Read article
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Visit to Visit Fasting Plasma Glucose Variability and Associated Factors in Diabetic Patients
Abstract: Wide glycemic variability has been proposed as one of the factors associated with poor glycemic control and development of diabetes complications. The aim of this study was to evaluate the extent of visit to visit fasting plasma variability and associated factors in patients with diabetes. A retrospective cross-sectional study was conducted on 280 diabetic patients attending outpatient diabetic clinic of Ayder Referral Hospital between December, 2015, and April, 2016. Relevant …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 2, 2016 · pp. 14–24 Read article
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Accelerating Drug Discovery with AI: Transforming the Pharmaceutical Pipeline
Abstract: The revolutionary potential of artificial intelligence (AI) is examined in this essay the pharmaceutical industry, highlighting its application across the drug development lifecycle. Artificial Intelligence, specifically via deep learning models and machine learning (ML) such as GANs, RNNs, and transformers, enhances drug discovery, formulation, toxicity prediction, and clinical trials. It streamlines processes like identification of targets, virtual screening, modelling of structure-activity relationships, and medication repurposing. AI is also employed in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 77–84 Read article
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AI Based Dental Care Solution System
Abstract: The AI-Based Dental Care Solution System is a web-based healthcare application developed using the MERN stack (MongoDB, Express. js, React.js, and Node.js) and integrated with Artificial Intelligence techniques to support early and accessible dental self-assessment. The system assists users in preliminary dental consultation by collecting symptoms such as tooth pain, sensitivity, swelling, bleeding gums, and bad breath through both structured forms and a conversational chatbot interface. Using Natural Language Processing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 Read article
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Estimation of Prevalence of Varicose Veins Formation and Associated Risks in North Indian Population
Abstract: Aim and Objective: To find out the prevalence of varicose veins formation in patients and its associated risk factors in North Indian population. Methods: A total of 300 (150 cases and 150 controls) persons were selected for the study, who had been diagnosed for varicose veins complication, from January 2016 to June 2018 at Government Medical College, Jalaun (Orai) UP, (India). All the persons were further speculated and tested for …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 1–5 Read article
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A Standards-Compliant API Framework for Integrating NAMASTE and ICD-11 TM2 Terminologies into Indian Electronic Medical Records (EMRs)
Abstract: The lack of standardized, interoperable terminology services has hindered the integration of India’s traditional medical systems into the mainstream digital health infrastructure. Although ICD-11 Traditional Medicine Module 2 (TM2) offers an internationally harmonized classification for traditional medicine diagnoses and the NAMASTE portal defines structured vocabularies for AYUSH conditions, current Electronic Medical Record (EMR) platforms in India are unable to natively consume, map, or translate these terminologies in a way that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 19–27 Read article
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Experimental Study on Heart Disease Prediction Using Different Machine Learning Algorithms
Abstract: Heart disease which can also be referred to as the cardiovascular disease is one of the raising concerns in today’s world. It is one of the major health problems causing death among humans irrespective of the age group and therefore has made it necessary to look into different medical factors that are required to predict the same in advance using the collected historical datasets of various patients. Thus we have …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Emerging Therapies in Respiratory Tract Infections: Current Advances and Future Perspectives
Abstract: The impact of respiratory tract infections (RTI) as a global public health problem continues to be high morbidity and mortality rates. The development of novel therapeutic approaches stemmed from the fact that conventional treatment strategies, antibiotics, antivirals, antifungals etc. have become increasingly ineffective because of rise of antimicrobial resistance (AMR). Next generation therapies, such as novel antimicrobial agents, host directed therapies and novel drug delivery systems have come on the …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 17–25 Read article
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Physical Modeling of Mass Transport Processes in Extraterrestrial Landscapes
Abstract: Currently the progress in physical models based on mass transport in both the Earth's surface and extraterresterial landscape has been growing. It is a frame work involving different natural and made made processes including aeline process, fluid flow process, magmal movement, Geomagnetic stroms, and clould flow modesl etc. These process encorporates Physical models and appraches which help to simulate, compute and experiment in order to reduce complexity. However, their operating …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 47–54 Read article