Year: 2024
Type: article
Abstract: Machine learning (ML) has emerged as a transformative tool in predictive analytics, significantly advancing healthcare technology. This paper explores the role of ML in enhancing predictive capabilities within healthcare, from early diagnosis and disease prevention to personalized treatment plans. By analyzing vast datasets, ML algorithms offer more accurate predictions, leading to improved patient outcomes and optimized healthcare workflows. The paper also discusses the latest innovations in ML applications, addressing challenges such as data quality, algorithm bias, and ethical considerations. The goal is to highlight how ML-driven predictive analytics is reshaping modern healthcare, offering new opportunities for precision medicine and operational efficiency.
Author: Nasrullah Abbasi
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4402303729