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Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

Finally, in addition to HAN and GPT-2, we implemented 2 baselines for performance comparison, one is a BERT-based model proposed by Devlin et al [29] and the other is based on the bidirectional gated recurrent unit along with the BERT-based word representation architecture proposed by Chen et al [30]. To integrate the developed models within the workflow of the CSS at KMUCHH, a user interface as illustrated in Figure 3 was implemented [31]. Various components can be identified within this interface.

Hong-Jie Dai, Chen-Kai Wang, Chien-Chang Chen, Chong-Sin Liou, An-Tai Lu, Chia-Hsin Lai, Bo-Tsz Shain, Cheng-Rong Ke, William Yu Chung Wang, Tatheer Hussain Mir, Mutiara Simanjuntak, Hao-Yun Kao, Ming-Ju Tsai, Vincent S Tseng

J Med Internet Res 2024;26:e58278