A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history.
Daeahn ChoMyeong-Sang YuJeongyoon ShinJingyu LeeYubin KimHoon-Chul KangSe Hee KimDokyun NaPublished in: BMC Medical Informatics Decis. Mak. (2024)
Keyphrases
- learning models
- medical devices
- medical treatment
- medical experts
- patient records
- medical records
- medical center
- medical data
- patient data
- medical doctors
- therapy planning
- medical staff
- clinical data
- patient care
- patient groups
- medical knowledge
- intensive care
- primary care
- clinical information
- critical care
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- medical practice
- clinical decision support systems
- clinical trials
- medical practitioners
- cardiovascular disease
- intensive care units
- operating room
- clinical practice
- drug resistance
- health care
- heart disease
- electronic health records
- chronic disease
- health records
- diabetic patients
- electronic medical record
- hospital information systems
- learning algorithm
- home care
- intensive care unit
- clinical guidelines
- eeg signals
- medical diagnosis
- discharge summaries
- machine learning
- learning tasks
- machine learning algorithms
- health related
- loss function
- clinical decision support
- semi supervised learning
- ischemic stroke
- breast cancer patients
- conditional random fields
- learning problems
- classification models
- intraoperative