Login / Signup

Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach.

Nickolas StabelliniAziz NazhaNikita AgrawalMerilys HuhnJohn ShanahanNelson HammerschlakKristin WaiteJill S Barnholtz-SloanAlberto J Montero
Published in: JCO clinical cancer informatics (2023)
Key drivers of unplanned readmissions in patients with cancer are complex and involve both clinical factors and SDOH. We developed a cancer-specific ML model that with reasonable accuracy identified patients with cancer at high risk for an unplanned hospital readmission.
Keyphrases
  • healthcare
  • machine learning
  • public health
  • acute care
  • papillary thyroid
  • adverse drug
  • mental health
  • health information
  • deep learning
  • young adults
  • risk assessment
  • human health
  • climate change