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Profil bibliographique

S Parbhoo

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

3Publications signalées
0Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Sepsis Diagnosis and TreatmentRespiratory Support and MechanismsAcute Kidney Injury ResearchAdvanced Causal Inference TechniquesTrauma, Hemostasis, Coagulopathy, Resuscitation

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health

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)

0 citations arXiv (Cornell University)
2026 article OpenAlex

C55-09 Dynamic Phenotyping of Acute Kidney Injury in ICU Patients Using Joint Latent Class Modeling of Serum Creatinine Trajectories Across Europe and the United States

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)

0 citations American Journal of Respiratory and Critical Care Medicine
Accès ouvert 2026 article OpenAlex

A17-06 Longitudinal, Outcome-Aware Acute Hypoxic Respiratory Failure Phenotypes: Discovery, External Validation, and Early Prediction

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)

0 citations American Journal of Respiratory and Critical Care Medicine

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