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ORCIDJournal of Biomedical Informatics, Volume 137
Volume 137, January 2023
- Tian Gu, Phil H. Lee
, Rui Duan:
COMMUTE: Communication-efficient transfer learning for multi-site risk prediction. 104243 - Zhaohong Sun, Wei Dong, Haomin Li, Zhengxing Huang:
Adversarial reinforcement learning for dynamic treatment regimes. 104244 - Robert F. Lario, Kensaku Kawamoto, Davide Sottara, Karen Eilbeck, Stanley M. Huff, Guilherme Del Fiol, Richard Soley, Blackford Middleton:
A method for structuring complex clinical knowledge and its representational formalisms to support composite knowledge interoperability in healthcare. 104251
- Evan French, Bridget T. McInnes:
An overview of biomedical entity linking throughout the years. 104252 - Qiuhong Wei, Huiling Cao, Yuan Shi, Ximing Xu, Tingyu Li:
Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis. 104254
- Yang Li, Dongzuo Liang, Shuangge Ma, Chenjin Ma:
Spatio-temporally smoothed deep survival neural network. 104255
- Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. 104256
- Daniel Strech, Tamarinde Haven, Vince I. Madai, Thierry Meurers, Fabian Prasser:
Generating evidence on privacy outcomes to inform privacy risk management: A way forward? 104257
- Alieh Hajizadeh Saffar, Tiffany Katharine Mann, Bahadorreza Ofoghi:
Textual emotion detection in health: Advances and applications. 104258
- Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai:
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. 104264 - Christopher McMaster, Julia Chan, David F. L. Liew, Elizabeth Su, Albert G. Frauman, Wendy W. Chapman, Douglas E. V. Pires:
Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions. 104265 - Zhengyun Zhao, Yichen Tian, Zheng Yuan, Peng Zhao, Feng Xia, Sheng Yu:
A machine learning method for improving liver cancer staging. 104266 - Sadjad Anzabi Zadeh, W. Nick Street, Barrett W. Thomas:
Optimizing warfarin dosing using deep reinforcement learning. 104267 - Hyunwoo Choo, Suyoung Yoo, Suhyeon Moon, Minsu Park, Jiwon Lee, Ki Woong Sung, Won Chul Cha, Soo-Yong Shin, Meong Hi Son:
Deep-learning-based personalized prediction of absolute neutrophil count recovery and comparison with clinicians for validation. 104268
- Joanna Abraham, Brian Bartek, Alicia Meng, Christopher Ryan King, Bing Xue, Chenyang Lu, Michael S. Avidan:
Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool. 104270
- Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano:
Learning the progression patterns of treatments using a probabilistic generative model. 104271 - Arnaldo Pereira, João Rafael Almeida, Rui Pedro Lopes, José Luís Oliveira:
Querying semantic catalogues of biomedical databases. 104272
- Matthew G. Wilson, Edward Palmer, Folkert W. Asselbergs, Steve K. Harris:
Integrated rapid-cycle comparative effectiveness trials using flexible point of care randomisation in electronic health record systems. 104273 - Kathrin Blagec, Jakob Kraiger, Wolfgang Frühwirt, Matthias Samwald:
Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals. 104274
- J. N. Stroh, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers:
Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research. 104275 - Clauirton de Siebra, Lais Amorim, Jonysberg P. Quintino, André L. M. Santos, Fabio Q. B. da Silva, Katarzyna Wac:
Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation. 104277
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