Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
University of Oklahoma · Dhaka Medical College and Hospital
Abstract
Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges in developing the early diagnosis tool and effective treatment. Machine learning (ML), an area of artificial intelligence (AI), enables researchers, physicians, and patients to solve some of these issues. Based on relevant research, this review explains how machine learning (ML) is being used to help in the early identification of numerous diseases. Initially, a bibliometric analysis of the publication is carried out using data from the Scopus and Web of Science (WOS) databases. The bibliometric…
Citation impact
- FWCI
- 72.99
- Percentile
- 100%
- References
- 136
Authors
3Topics & keywords
- Scopus
- Machine learning
- Artificial intelligence
- Computer science
- Identification (biology)
- Disease
- Web of science
- Data science