Significance of machine learning in healthcare: Features, pillars and applications
Jamia Millia Islamia · Dr. B. R. Ambedkar National Institute of Technology Jalandhar · +1 more institution
Abstract
Machine Learning (ML) applications are making a considerable impact on healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the speed and accuracy of physicians' work. Countries are currently dealing with an overburdened healthcare system with a shortage of skilled physicians, where AI provides a big hope. The healthcare data can be used gainfully to identify the optimal trial sample, collect more data points, assess ongoing data from trial participants, and eliminate data-based errors. ML-based techniques assist in detecting early indicators of an epidemic or pandemic. This algorithm examines satellite data, news and social media reports, and even video sources to…
Citation impact
- FWCI
- 147.53
- Percentile
- 100%
- References
- 304
Authors
5Topics & keywords
- Health care
- Big data
- Economic shortage
- Computer science
- Healthcare system
- Artificial intelligence
- Data science
- Data mining