A hyperaldosteronism subtypes predictive model using ensemble learning

This study aimed to develop a machine-learning algorithm to diagnose aldosterone-producing adenoma (APA) for predicting APA probabilities. A retrospective cross-sectional analysis of the Japan Rare/Intractable Adrenal Diseases Study dataset was performed using the nationwide PA registry in Japan com...

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Detalles Bibliográficos
Autores principales: Karashima, Shigehiro, Kawakami, Masaki, Nambo, Hidetaka, Kometani, Mitsuhiro, Kurihara, Isao, Ichijo, Takamasa, Katabami, Takuyuki, Tsuiki, Mika, Wada, Norio, Oki, Kenji, Ogawa, Yoshihiro, Okamoto, Ryuji, Tamura, Kouichi, Inagaki, Nobuya, Yoshimoto, Takanobu, Kobayashi, Hiroki, Kakutani, Miki, Fujita, Megumi, Izawa, Shoichiro, Suwa, Tetsuya, Kamemura, Kohei, Yamada, Masanobu, Tanabe, Akiyo, Naruse, Mitsuhide, Yoneda, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943838/
https://www.ncbi.nlm.nih.gov/pubmed/36810868
http://dx.doi.org/10.1038/s41598-023-29653-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943838/
https://www.ncbi.nlm.nih.gov/pubmed/36810868
http://dx.doi.org/10.1038/s41598-023-29653-2

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