A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges
Deakin University · Edith Cowan University
Abstract
Recently, various sophisticated methods, including machine learning and artificial intelligence, have been employed to examine health-related data. Medical professionals are acquiring enhanced diagnostic and treatment abilities by utilizing machine learning applications in the healthcare domain. Medical data have been used by many researchers to detect diseases and identify patterns. In the current literature, there are very few studies that address machine learning algorithms to improve healthcare data accuracy and efficiency. We examined the effectiveness of machine learning algorithms in improving time series healthcare metrics for heart rate data transmission (accuracy and efficiency). In this paper, we…
Citation impact
- FWCI
- 102.38
- Percentile
- 100%
- References
- 90
Authors
4Topics & keywords
- Machine learning
- Artificial intelligence
- Computer science
- Health care
- Domain (mathematical analysis)
- Big data
- Unsupervised learning
- Data mining
- Industry, innovation and infrastructure