The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
ascopubs.org

Machine learning model to predict mortality after discharge in hospitalized oncologic patients (pts) under active systemic therapy in the advanced setting: A multicenter cross ...

Impact of cisplatin-induced hearing loss (CIHL) on patient-reported social and emotional functioning. This is an ASCO Meeting Abstract from the 2022 ASCO Annual Meeting I. This abstract does not ...