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29 articles for “state of health prediction”
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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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Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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A Study on the Influence of Cashew and Pawpaw Leaf on Soil Density Treatment of Contaminated Swampy and Clay Soils
Abstract: Soil density is a key parameter in assessing soil health and structure, often employed as a potential index in bioremediation studies. This study investigates the impact of bioremediation treatments using Cashew Leaf (Anacardium occidentale) and Pawpaw Leaf (Carica papaya) on the density of swampy and clay soils over time. The results show that both treatments, in varying quantities, influence the soil's density by reducing the post-contamination density to levels closer …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Designing a Disaster Resilient Community in Flood prone zones of Srinagar, Uttarakhand.
Abstract: Uttarakhand, a state that scuffles with the dual challenges of climate change and rapid development, is particularly vulnerable to devastating floods. This research delves into the critical issue of strengthening community resilience against such disasters. By examining the interconnected factors of preparedness, mitigation, and response, the study aims to develop a robust framework for safeguarding lives and livelihoods in flood-prone regions. A cornerstone of this research is the exploration of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 8–19 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 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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The State of Air Quality: Pollution Sources, Health Implications, and Future
Abstract: Air quality is a critical component of environmental health, significantly affecting human well-being and ecological balance. Poor air quality has been related to a variety of health issues, including respiratory and cardiovascular disorders, and it is a major cause of early death worldwide. Understanding the origins, kinds, and impacts of air pollutants is critical for establishing effective pollution-reduction initiatives. This review focuses on the principal pollutants that affect air quality, …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 1–4 Read article
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A Study to Find the Relation Between School Bag Weight and Musculoskeletal Discomfort in School Going Children
Abstract: Background: School bags are one of the several forms of manual load carriage used by school children. Carrying school bags that exceed 10% of body weight can lead to heightened energy expenditure, causing increased forward lean of the neck and trunk, reduced lung capacity, and elevated cardio-respiratory measures. Musculoskeletal disorders (MSDs) are characterized by injuries or disorders affecting muscles, tendons, ligaments, cartilage, or spinal discs, as diagnosed by healthcare providers, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 49–58 Read article