An HMM-ensemble approach to predict severity progression of ICU treatment for hospitalized COVID-19 patients.
Federica MandreoliFederico MottaPaolo MissierPublished in: ICMLA (2021)
Keyphrases
- disease progression
- hidden markov models
- clinical data
- cross sectional
- clinical trials
- intensive care unit
- intensive care units
- prostate cancer
- cancer patients
- mathematical modeling
- electronic medical record
- handwritten word recognition
- medical care
- medical staff
- magnetic resonance images
- breast cancer
- intensive care
- medical treatment
- medical data
- clinical studies
- real patient data
- clinical information
- high risk
- ischemic stroke
- clinical decision making
- liver disease
- acute coronary syndrome
- therapy planning
- decision support system
- clinical diagnosis
- medical knowledge
- patient data
- health care
- speech recognition
- acute myocardial infarction