Mutiple Disease Detection using Machine Learning

Registration ID: IJNRD_219094

Published ID: IJNRD2404720

DOI: Click Here to Get

Sai Vamsi Chandhavari , Rama Mohan Reddy G , Pavan Kumar K , Naga Yaswanth Reddy D

Machine Learning, Decision tree, Adaboost , Xgboost and Catboost and ML techniques, evaluation

Effective detection of illnesses is an influential unmet need absent from a global scale. A rise of early diagnosis tools and a successful therapy options has been seriously compromised by the complexity of the different conditions mechanisms and underlying symptoms that impacted the patient population. A subfield of artificial intelligence called machine learning (ML) helps patients, doctors, and researchers find products to some of the aforementioned issues. This review provides an justification of Machine Learning (ML) based on studies that are relevant. For the purpose of improving patient outcomes and alleviating healthcare costs, swift detection and diagnosis of medical issues like diabetes, chronic kidney disease, liver disease, and breast cancer are essential. Machine learning have grown into a viable method for screening for and detecting chronic illnesses in recent years. We want that will assist with early disease diagnosis and treatment by creating a machine learning model for various disease belonging through this project. A significant set of data of medical records, ranging from patient demographics, medical histories, symptoms, and test findings for a diagnostic will be used to train the model that has been suggested. So excellent data quality and completeness, the dataset will be meticulously selected and preprocessed. Relevant nuances that was demonstrated to affect illness risk, such as genetic markers and decisions regarding one's lifestyle, will also be were present.

Published Paper   E-Certificate

Sai Vamsi Chandhavari, Rama Mohan Reddy G, Pavan Kumar K, & Naga Yaswanth Reddy D (April-2024). Mutiple Disease Detection using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), h155-h165. https://ijnrd.org/papers/IJNRD2404720.pdf

Volume 9 Issue 4, April-2024

Pages : h155-h165

Paper Reg. ID: IJNRD_219094

Published Paper Id: IJNRD2404720

Downloads: 000121989

Research Area: Engineering

Country: Rajampet, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404720.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404720

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

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

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Call For Paper - Volume 10 | Issue 10 | October 2025

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