Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach.
Yuqi WuYang RenDezhi WuSudha XirasagarJoseph JohnsonPublished in: ICHI (2022)
Keyphrases
- clinical data
- disease progression
- liver disease
- cancer patients
- emergency department
- medical data
- electronic medical record
- patient groups
- patient data
- magnetic resonance images
- raw data
- clinical information
- mr images
- clinical trials
- patient records
- electronic health records
- statistical analysis
- medical knowledge
- prostate cancer
- knowledge discovery
- domain experts
- outcome prediction
- breast cancer
- clinical decision making
- real patient data
- data sets
- databases
- early diagnosis
- medical records
- image data
- data sources
- clinical databases
- domain knowledge
- association rules
- expert systems
- machine learning