Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation.
Nathan C. HurleySanket S. DhruvaNihar DesaiJoseph R. RossChe NguforFrederick MasoudiHarlan M. KrumholzBobak J. MortazaviPublished in: ACM Trans. Comput. Heal. (2023)
Keyphrases
- patient data
- clinical data
- clinical practice
- clinical trials
- medical data
- clinical information
- clinical setting
- video endoscopy
- medical treatment
- real patient data
- treatment planning
- patient outcomes
- medical experts
- medical records
- therapy planning
- intensive care
- health information systems
- patient care
- primary care
- patient records
- care delivery
- acute coronary syndrome
- medical practitioners
- acute myocardial infarction
- mixture model
- matching algorithm
- high risk
- intensive care unit
- medical images
- domain experts
- maxillofacial surgery
- chronic disease
- medical knowledge
- diabetic patients
- risk management
- medical center
- risk factors
- cardiovascular disease
- disease progression
- risk assessment
- health related
- medical staff
- heart disease
- cancer patients
- breast cancer patients
- patient groups
- medical domain
- free text
- clinical studies
- clinical decision support