Machine learning to predict waitlist dropout among liver transplant candidates with hepatocellular carcinoma
ConclusionIn summary, a simple, interpretable 5-variable model predicted 3-, 6-, and 12-month waitlist dropout among patients with HCC. This prediction can be used to appropriately prioritize patients with HCC and their imminent need for transplant.
Source: Cancer Medicine - Category: Cancer & Oncology Authors: Allison Kwong,
Bilal Hameed,
Shareef Syed,
Ryan Ho,
Hossein Mard,
Sahar Arshad,
Isaac Ho,
Tashfeen Suleman,
Francis Yao,
Neil Mehta Tags: RESEARCH ARTICLE Source Type: research
More News: Bilirubin | Cancer | Cancer & Oncology | Carcinoma | Hepatocellular Carcinoma | Learning | Liver | Liver Cancer | Liver Transplant | Statistics | Study | Transplant Surgery | Transplants | Universities & Medical Training | Urology & Nephrology | USA Health