Accès ouvert
2026
preprint
OpenAlex
Donna Tjandra, Trenton Chang, S Parbhoo, Rajesh Ranganath et autres
Objective: The growing availability of large-scale observational clinical datasets and challenges in conducting randomized controlled trials have spurred enthusiasm in using causal machine learning (ML) for causal inference in observational data. We present a roadmap for applying causal ML to observational data. …
us, gb
(code pays fourni par la source)
2026
article
OpenAlex
M Jamme, D C Marshall, D Legouis, M Komorowski et autres
Abstract Rationale Acute kidney injury (AKI) is highly prevalent in critically ill patients and encompasses a heterogeneous spectrum of pathophysiological mechanisms. Beyond its severity at diagnosis, the temporal evolution of serum creatinine (SCr) during ICU stay carries valuable prognostic information. However, competing …
gb, ch
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
D C Marshall, A Green, B V Patel, M Komorowski et autres
Abstract Rationale Acute Hypoxaemic Respiratory Failure (AHRF) is biologically heterogeneous, yet most phenotyping is cross-sectional and limited to the first few ICU days. We sought longitudinal, outcome-aware trajectory phenotypes of persistent AHRF, and to forecast class membership early from routine data. Methods …
gb
(code pays fourni par la source)