Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology

AIM: To construct a non-invasive prediction algorithm for predicting non-alcoholic steatohepatitis (NASH), we investigated Japanese morbidly obese patients using artificial intelligence with rule extraction technology. METHODS: Consecutive patients who required bariatric surgery underwent a liver bi...

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Detalles Bibliográficos
Autores principales: Uehara, Daisuke, Hayashi, Yoichi, Seki, Yosuke, Kakizaki, Satoru, Horiguchi, Norio, Tojima, Hiroki, Yamazaki, Yuichi, Sato, Ken, Yasuda, Kazuki, Yamada, Masanobu, Uraoka, Toshio, Kasama, Kazunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2018
Materias:
Retrospective Cohort Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323515/
https://www.ncbi.nlm.nih.gov/pubmed/30631398
http://dx.doi.org/10.4254/wjh.v10.i12.934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323515/
https://www.ncbi.nlm.nih.gov/pubmed/30631398
http://dx.doi.org/10.4254/wjh.v10.i12.934

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