Literature DB >> 26262372

Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation.

Yasunobu Nohara1, Yoshifumi Wakata1, Naoki Nakashima1.   

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:

Year:  2015        PMID: 26262372

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Association of serum bilirubin levels with risk of cancer development and total death.

Authors:  Toyoshi Inoguchi; Naoki Nakashima; Yasunobu Nohara; Chinatsu Nojiri
Journal:  Sci Rep       Date:  2021-06-24       Impact factor: 4.379

  1 in total

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