Risk Estimation for ICU Patients with Personalized Anomaly-Encoded Bedside Patient Data.
Kai WuEe Heng ChenFelix WirthKeti VitanovaRüdiger LangeDarius BurschkaPublished in: EMBC (2023)
Keyphrases
- patient data
- intensive care unit
- intensive care
- clinical data
- acute coronary syndrome
- medical data
- intensive care units
- high risk
- physiological data
- statistical analysis
- septic shock
- domain experts
- medical doctors
- health information systems
- intraoperative
- healthy volunteers
- medical records
- knowledge discovery
- electronic health records
- electronic medical record
- risk factors
- raw data
- healthcare providers
- data sets
- clinical guidelines
- decision support system
- machine learning
- home care
- health care
- decision support