Medical checkup data analysis method based on LiNGAM and its application to nonalcoholic fatty liver disease-Reference-Cited by-同舟云学术

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Medical checkup data analysis method based on LiNGAM and its application to nonalcoholic fatty liver disease

Published:2022-06 Issue: Volume:128 Page:102310
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Uchida Tsuyoshi,Fujiwara Koichi,Nishioji Kenichi,Kobayashi Masao,Kano Manabu,Seko Yuya,Yamaguchi Kanji,Itoh Yoshito,Kadotani Hiroshi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference68 articles.

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2. Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis;Perotte;J Am Med Inform Assoc,2015

3. Predicting the risk of heart failure with EHR sequential data modeling;Jin;IEEE Access,2018

4. Relationship between sleep apnea, fat distribution, and insulin resistance in obese children;Canapari;J Clin Sleep Med,2011

5. Serum N-terminal pro-B-type natriuretic peptide as a predictor for future development of atrial fibrillation in a general population: the Hisayama Study;Nagata;Int J Cardiol,2020

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1. Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation settings;MethodsX;2024-06

2. A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions;IEEE Access;2024

3. Causal Plot: Causal-Based Fault Diagnosis Method Based on Causal Analysis;Processes;2022-11-03

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