Predicting survival in heart failure: a risk score based on machine-learning and change point algorithm.
Wonse KimJin Joo ParkHae-Young LeeKye Hun KimByung-Su YooSeok-Min KangSang Hong BaekEun-Seok JeonJae-Joong KimMyeong-Chan ChoShung Chull ChaeByung-Hee OhWoong KookYoungkeun AhnPublished in: Clinical research in cardiology : official journal of the German Cardiac Society (2021)
Unique identifier: INCT01389843 https://clinicaltrials.gov/ct2/show/NCT01389843 .
Keyphrases
- machine learning
- heart failure
- image quality
- artificial intelligence
- dual energy
- computed tomography
- contrast enhanced
- deep learning
- big data
- free survival
- left ventricular
- positron emission tomography
- magnetic resonance imaging
- atrial fibrillation
- cardiac resynchronization therapy
- magnetic resonance
- neural network