Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology

The increasing availability of electronic health data presents a major opportunity in healthcare for both discovery and practical applications to improve healthcare. However, for healthcare epidemiologists to best use these data, computational techniques that can handle large complex datasets are required. Machine learning (ML), the study of tools and methods for identifying patterns in data, can help. The appropriate application of ML to these data promises to transform patient risk stratification broadly in the field of medicine and especially in infectious diseases. This, in turn, could lead to targeted interventions that reduce the spread of healthcare-associated pathogens. In this review, we begin with an…

• NS
  National Science Foundation

  Award: IIS-1553146
• NI
  National Institutes of Health

  Award: K01AI110524
• NI
  National Institute of Allergy and Infectious Diseases

  Award: U01AI124255