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Machine Learning Techniques Based Hybrid Model for Disease Prediction

Year: 2025

Type: article

Abstract: This study evaluates machine learning algorithms like Decision Tree, Random Forest, Naive Bayes, and KNN for instant disease prediction using patient symptoms. It identifies the most accurate and reliable model to support early diagnosis in digital healthcare.

Source: International Journal on Science and Technology

DOI: 10.71097/ijsat.v16.i2.4586

Authors: Neha Kukade -, Sunil Gupta -

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4411215268

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