Utilizing Machine Learning for Predictive Analytics: Advances in Healthcare Technology

Nasrullah Abbasi ()

Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930), 2024, vol. 1, issue 1, 57-67

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.

Keywords: Machine learning; predictive analytics; healthcare technology; precision medicine; data analysis; personalized treatment (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://japmi.org/index.php/japmi/article/view/4/4 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abu:abuabu:v:1:y:2024:i:1:p:57-67:id:4

Access Statistics for this article

More articles in Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930) from Open Knowledge
Bibliographic data for series maintained by By Openjournaltheme ().