Open AccessSUN-367 Artificial Intelligence Systems for Predicting Primary Aldosteronism Subtype
Author(s) -
Keita Tsuyuguchi,
Shigehiro Karashima,
Mitsuhiro Kometani,
Yuko Gondo,
Hidetaka Nambo,
Takashi Yoneda,
Yoshiyu Takeda
Publication year - 2019
Publication title -
journal of the endocrine society
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.046
H-Index - 20
ISSN - 2472-1972
DOI - 10.1210/js.2019-sun-367
Subject(s) - primary aldosteronism , artificial intelligence , support vector machine , machine learning , medicine , logistic regression , aldosterone , adrenalectomy , perceptron , gold standard (test) , random forest , multilayer perceptron , artificial neural network , computer science
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