Machine Learning in Healthcare: A Review
Машинное обучение в здравоохранении: обзор
2024-04-12
SCID: 54.1/r4zhy2d8
Discuss with AI
decision support systemsdisease pattern detectionhealthcare applicationsmachine learningmedical data
Figures from the paper
Abstract (AI)
Machine learning a new and very sophisticated technology has been developed as a large trend in the market nowadays. Machine learning is an everywhere phenomenon which is applied in different areas. It’s an irreplaceable factor in many sectors such as business, science and security and so on. Implementation of machine learning technology in healthcare is emerging as a crucial trend. The potential presented by the machine learning technologies for the healthcare field is simply stunning. Machine learning technologies are making a huge influence in healthcare. ML, a sort of technology which attempts to enhance the velocity and precision of physicians work. Machine learning algorithms are used to detect hidden patterns in medical data and provides great prediction skills. In this research, we have to examine various methods used to create effective decision assistance for medical applications. This work contributes to minimizing the gap of generating effective decision support systems for healthcare applications. Keywords: Healthcare, Machine Learning, ubiquitous, medical applications
Key Findings
1
Healthcare machine learning aims to improve the speed and accuracy of physicians’ work.
2
Machine learning algorithms can identify hidden patterns in medical data and provide predictive capabilities for healthcare decision-making.
3
Machine learning is emerging as a crucial technology in healthcare and is increasingly applied across medical applications.
4
The review examines methods for developing effective decision-support systems for medical applications and addresses gaps in their generation.
Research Object
machine learning technologies applied in healthcare and medical applications
Research Subject
methods for detecting hidden patterns in medical data and generating effective decision-support systems to improve the speed and accuracy of physicians’ work
Publication Details
Publication Date
2024-04-12
Journal
Publisher
ISSN
Cited by
17
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest