Year: 2025
Type: conference-paper
Abstract: The healthcare industry is rapidly evolving with the integration of advanced data-driven technologies.Predictive analytics, driven by Machine Learning (ML) and Deep Learning (DL) techniques, has emerged as a powerful tool to forecast health trends, diagnose diseases early, and optimize treatment plans.This survey aims to explore the landscape of predictive analytics in healthcare, highlighting various ML and DL models employed in real-world scenarios.We analyze their effectiveness in predicting diseases like diabetes, cardiovascular issues, and cancer.The study also discusses the strengths, limitations, and future scope of using such techniques in clinical decision-making and healthcare management.
Authors: Nimisha Swami, Deepak Shankhala, Vaishali Singh, Sujata Kumari
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4412362233