reviewHealthcareMar 15, 2022GOLD OA

Machine-Learning-Based Disease Diagnosis: A Comprehensive Review

University of Oklahoma · Dhaka Medical College and Hospital

PubMed
Indexed incrossrefpubmed

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

546
total citations
FWCI
72.99
Percentile
100%
References
136
Citations per year

Authors

3

Topics & keywords

Keywords
  • Scopus
  • Machine learning
  • Artificial intelligence
  • Computer science
  • Identification (biology)
  • Disease
  • Web of science
  • Data science
No related works found for this paper.