Implementing a System for Predicting and Notifying When Patients are At-Risk for Acute Physiologic Decompensation.
Abdul A. TariqRohit ChaudhryNatalie YipKui TangRyan DeCosmoRuchi ShahRobert A. GreenDavid K. VawdreyPublished in: AMIA (2019)
Keyphrases
- high risk
- intensive care unit
- acute coronary syndrome
- ischemic stroke
- risk factors
- acute myeloid
- patient data
- decision support system
- clinical data
- chronic disease
- decision making
- kaplan meier
- risk management
- risk assessment
- blood pressure
- portfolio optimization
- diabetes mellitus
- early detection
- emergency department
- medical care
- neural network
- statistical methods
- neurological disorders
- medical practitioners
- demographic data
- normal subjects
- vital signs
- risk measures
- risk averse
- prostate cancer
- heart disease
- medical experts
- medical knowledge
- heart rate
- clinical trials