Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients

Sheng Chieh Lu, Mark Knafl, Anastasia Turin, Anaeze C. Offodile, Vinod Ravi, Chris Sidey-Gibbons

Research output: Contribution to journalArticlepeer-review

Fingerprint

Dive into the research topics of 'Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients'. Together they form a unique fingerprint.

Medicine & Life Sciences