[HTML][HTML] Reinforcement learning for clinical decision support in critical care: comprehensive review
Background Decision support systems based on reinforcement learning (RL) have been
implemented to facilitate the delivery of personalized care. This paper aimed to provide a …
implemented to facilitate the delivery of personalized care. This paper aimed to provide a …
[HTML][HTML] Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets
Despite the overall success of using artificial intelligence (AI) to assist radiologists in
performing computer-aided patient diagnosis, it remains challenging to build good models …
performing computer-aided patient diagnosis, it remains challenging to build good models …
[HTML][HTML] Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective Temporal electronic health records (EHRs) contain a wealth of information for
secondary uses, such as clinical events prediction and chronic disease management …
secondary uses, such as clinical events prediction and chronic disease management …
[HTML][HTML] MIMIC-III, a freely accessible critical care database
Abstract MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center
database comprising information relating to patients admitted to critical care units at a large …
database comprising information relating to patients admitted to critical care units at a large …
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
Importance Mammography screening currently relies on subjective human interpretation.
Artificial intelligence (AI) advances could be used to increase mammography screening …
Artificial intelligence (AI) advances could be used to increase mammography screening …
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
The ability to determine patient acuity (or severity of illness) has immediate practical use for
clinicians. We evaluate the use of multivariate timeseries modeling with the multi-task …
clinicians. We evaluate the use of multivariate timeseries modeling with the multi-task …
Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database
M Feng, JI McSparron, DT Kien, DJ Stone… - Intensive care …, 2018 - Springer
Purpose While the use of transthoracic echocardiography (TTE) in the ICU is rapidly
expanding, the contribution of TTE to altering patient outcomes among ICU patients with …
expanding, the contribution of TTE to altering patient outcomes among ICU patients with …
Obesity, acute kidney injury, and mortality in critical illness
Objectives: Although obesity is associated with risk for chronic kidney disease and improved
survival, less is known about the associations of obesity with risk of acute kidney injury and …
survival, less is known about the associations of obesity with risk of acute kidney injury and …
Peripheral edema, central venous pressure, and risk of AKI in critical illness
Results Of the 18%(n= 2338) of patients with peripheral edema on admission, 27%(n= 631)
developed AKI, compared with 16%(n= 1713) of those without peripheral edema. In a model …
developed AKI, compared with 16%(n= 1713) of those without peripheral edema. In a model …
[PDF][PDF] Data descriptor: MIMIC-III, a freely accessible critical care database
Methods The Laboratory for Computational Physiology at Massachusetts Institute of
Technology is an interdisciplinary team of data scientists and practicing physicians. MIMIC-III …
Technology is an interdisciplinary team of data scientists and practicing physicians. MIMIC-III …