Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation.
Recently, machine-learning techniques have spread many fields. However, machine-learning is still not popular in medical research field due to difficulty of interpreting. In this paper, we introduce a method of interpreting medical information using machine learning technique. The method gave new explanation of partial dependence plot and individual conditional expectation plot from medical research field.
Kyushu University Hospital, Fukuoka, Japan.
Yasunobu
Y
Nohara
Kyushu University Hospital, Fukuoka, Japan.
Yoshifumi
Y
Wakata
Kyushu University Hospital, Fukuoka, Japan.
Naoki
N
Nakashima
D000465:Algorithms; D003627:Data Interpretation, Statistical; D057225:Data Mining; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D015987:Effect Modifier, Epidemiologic; D057286:Electronic Health Records / Q000145:classification* / Q000706:statistics & numerical data*; D006801:Humans; D016013:Likelihood Functions; D000069550:Machine Learning; D009323:Natural Language Processing; D017063:Outcome Assessment, Health Care / Q000379:methods*