A Comprehensive Literature Review for Exploring Machine Learning Approaches for Detection of Health Disorders

A Comprehensive Literature Review for Exploring Machine Learning Approaches for Detection of Health Disorders

Registration ID: IJNRD_220438

Published ID: IJNRD2405062

DOI: Click Here to Get

Ibrahim Parkar , Anand Tripathi , Sakshi Jadhav , Tanishque Prajapati , Vaqar Ansari

Health disorders, Undetected, scalable, Website, health recommendations, data integration, advanced data analysis, early detection, proactive health management, timely interventions, health outcomes.

This research paper presents a comprehensive review of machine-learning approaches for detecting four critical health disorders: Arrhythmia, Sleep Apnea, Insomnia, and Stroke. Recognizing the challenge of gathering comprehensive datasets, the study advocates for separate datasets for each disease, enabling tailored-modeling approaches. Through an extensive literature review, the paper identifies the most effective machine learning models for each condition, including Logistic Regression, SVM, XGBoost, Random Forest, and Voting Classifier. The methodology proposed involves collecting diverse datasets, preprocessing data, selecting appropriate algorithms, and rigorously testing and validating predictive models. Furthermore, the integration of machine learning models with Google Maps is suggested to provide personalized recommendations and suggest nearest healthcare facilities based on predictions and user location. This initiative aims to empower individuals to proactively manage their health and revolutionize healthcare by promoting timely interventions and improving health outcomes.

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"A Comprehensive Literature Review for Exploring Machine Learning Approaches for Detection of Health Disorders ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.a601-a603, May-2024, Available :https://ijnrd.org/papers/IJNRD2405062.pdf

Volume 9 Issue 5, May-2024

Pages : a601-a603

Paper Reg. ID: IJNRD_220438

Published Paper Id: IJNRD2405062

Downloads: 000121155

Research Area: Electronics & Communication Engg. 

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405062.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405062

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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