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BMC Medical Informatics & Decision Making - Supplement, Volume 24-S

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Volume 24-S, Number 2, April 2024

Proceedings of the 16th International Conference on Data and Text Mining in Biomedical Informatics (DTMBIO 2022): medical informatics and decision making

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Judita Preiss:
Using word evolution to predict drug repurposing. 114
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Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na:
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history. 149
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Won Hoon Song, Meeyoung Park:
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning. 259

Volume 24-S, Number 3, December 2024

Selected articles from the 6th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2021)

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Jiannan Liu, Huanmei Wu, Daniel H. Robertson, Jie Zhang:
Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases. 98

Volume 24-S, Number 5, December 2024

Fifth and Sixth Computational Approaches for Cancer Workshop (CAFCW19 and CAFCW20)

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Hong-Jun Yoon, Hilda B. Klasky, Andrew E. Blanchard, James Blair Christian, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi:
Development of message passing-based graph convolutional networks for classifying cancer pathology reports. 262

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