A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients.
Amir Ebrahimi ZadeSeyedhamidreza Shahabi HaghighiMadjid SoltaniPublished in: J. Biomed. Informatics (2021)
Keyphrases
- evolutionary algorithm
- patient data
- kaplan meier
- breast cancer patients
- clinical data
- clinical trials
- emergency department
- medical center
- medical data
- medical care
- clinical information
- patient groups
- blood pressure
- medical treatment
- primary care
- cancer patients
- medical doctors
- vital signs
- clinical setting
- medical staff
- cognitive impairment
- survival analysis
- medical experts
- patient records
- breast cancer
- survival prediction
- intensive care
- therapy planning
- medical records
- medical practitioners
- spinal cord injury
- neurological disorders
- heart disease
- medical knowledge
- intensive care unit
- clinical studies
- surgical procedures
- health care providers
- liver disease
- blood glucose
- critical care
- hospital discharge
- acute coronary syndrome
- medical devices
- artificial neural networks
- home care
- chronic disease
- intensive care units
- survival data
- patient care
- body mass index
- function optimization
- health care
- neural network
- chronic obstructive pulmonary disease
- genetic algorithm
- intraoperative
- magnetic resonance imaging
- medical diagnosis
- prostate cancer
- prognostic factors
- heart rate
- real patient data
- cardiovascular disease
- disease progression