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Prognostic physiology: modeling patient severity in Intensive Care Units using radial domain folding.
The coming of age of artificial intelligence in medicine.
Report of an IEEE task force--an IEEE opinion on research needs for biomedical engineering systems.
Artificial intelligence in medicine. Where do we stand?
MCORES: a system for noun phrase coreference resolution for clinical records.
An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study.
Patient-specific learning in real time for adaptive monitoring in critical care.
Artificial intelligence in medical diagnosis.
Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.
Using Machine Learning to Predict Laboratory Test Results.
CLINICAL DECISION MAKING AND ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE CLINICAL DECISION MAKING
ARTIFICIAL INTELLIGENCE CARDIOVASCULAR REASONING
Informatics for Integrating Biology &the Bedside (i2b2)
Surrogate-assisted feature extraction for high-throughput phenotyping.
Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.
3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data.
Artificial intelligence, machine learning and health systems.
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients.
High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP).