Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation

Yasunobu Nohara; Yoshifumi Wakata; Naoki Nakashima

Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation

Stud Health Technol Inform. 2015:216:1073.

Authors

Yasunobu Nohara¹, Yoshifumi Wakata¹, Naoki Nakashima¹

Affiliation

¹ Kyushu University Hospital, Fukuoka, Japan.

PMID: 26262372

Abstract

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.

MeSH terms

Algorithms
Data Interpretation, Statistical*
Data Mining
Decision Support Systems, Clinical / organization & administration*
Effect Modifier, Epidemiologic
Electronic Health Records / classification*
Electronic Health Records / statistics & numerical data*
Humans
Likelihood Functions
Machine Learning*
Natural Language Processing
Outcome Assessment, Health Care / methods*