Echocardiography phenotypes of right ventricular involvement in COVID-19 ARDS patients and ICU mortality: Post-hoc (exploratory) analysis of repeated data from …
S Huang, A Vieillard-Baron, B Evrard, G Prat… - Intensive Care …, 2023 - Springer
Purpose Exploratory study to evaluate the association of different phenotypes of right
ventricular (RV) involvement and mortality in the intensive care unit (ICU) in patients with …
ventricular (RV) involvement and mortality in the intensive care unit (ICU) in patients with …
Timing as an Action: Learning When to Observe and Act
In standard reinforcement learning setups, the agent receives observations and performs
actions at evenly spaced intervals. However, in many real-world settings, observations are …
actions at evenly spaced intervals. However, in many real-world settings, observations are …
[HTML][HTML] Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis
Persistence of acute kidney injury (AKI) or insufficient recovery of renal function was
associated with reduced long-term survival and life quality. We quantified AKI trajectories …
associated with reduced long-term survival and life quality. We quantified AKI trajectories …
Random effects models of tumour growth for investigating interval breast cancer
L Orsini, K Czene, K Humphreys - Statistics in Medicine, 2024 - Wiley Online Library
In Nordic countries and across Europe, breast cancer screening participation is high.
However, a significant number of breast cancer cases are still diagnosed due to symptoms …
However, a significant number of breast cancer cases are still diagnosed due to symptoms …
Application of multistate modeling to clinical data analysis
J Grevel, J Veasy, B Chacko - CPT: Pharmacometrics & …, 2024 - Wiley Online Library
Multistate models have been used for decades to analyze the economics of expensive and
long‐lasting treatments. More recently they also served to address questions in clinical drug …
long‐lasting treatments. More recently they also served to address questions in clinical drug …
[PDF][PDF] Reliable and Practical Machine Learning for Dynamic Healthcare Settings
H Zhou - 2023 - kilthub.cmu.edu
Abstract Machine learning (ML) algorithms have shown great promise on a variety of
healthcare-related tasks. However, as these algorithms transition from research to …
healthcare-related tasks. However, as these algorithms transition from research to …