Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma.
Du WangSang Ho LeeHuaizhi GengHaoyu ZhongJohn PlastarasAndrzej WojcieszynskiRichard CaruanaYing XiaoPublished in: Frontiers Artif. Intell. (2022)
Keyphrases
- machine learning
- acute myeloid
- prostate cancer
- clinical trials
- disease progression
- therapy planning
- medical doctors
- myocardial infarction
- pattern recognition
- high risk
- knowledge representation
- cancer patients
- computer vision
- cancer treatment
- medical devices
- text classification
- text mining
- machine learning methods
- learning tasks
- information extraction
- medical domain
- spinal cord injury
- acute myocardial infarction
- learning algorithm
- data mining
- patient data
- machine learning algorithms
- natural language processing
- explanation based learning
- patient specific
- medical data
- intensive care unit
- inductive logic programming
- mr images
- decision support
- support vector machine
- active learning
- computer science
- decision trees