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Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Here, “莊凱傑” represents a Chinese name, which can be translated to “KAI-JIE ZHUANG.” Using the developed prompts without adding the constraint part, both the original and recently released Chat GPT 3.5 models (version from September 27, 2023) could potentially return responses like “MEDICATION: haldol, anxicam” and “DOSE: 1 amp.” Another issue to consider is the translation of recognized PHI into a language other than that mentioned in the given text.

You-Qian Lee, Ching-Tai Chen, Chien-Chang Chen, Chung-Hong Lee, Peitsz Chen, Chi-Shin Wu, Hong-Jie Dai

J Med Internet Res 2024;26:e48443

Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

One is the inability to determine cases like indirect relatives as pointed out by Dai [10] and Shi et al [11], and the other is the general ability to classify FHIs represented in different writing styles. Unfortunately, although the aforementioned relation-side scheme is expected to facilitate the development of a single end-to-end model to conquer the task of FHI extraction, the experiment results by Dai [10] revealed issues of insufficient and imbalanced training instances.

Hong-Jie Dai, You-Qian Lee, Chandini Nekkantti, Jitendra Jonnagaddala

JMIR Med Inform 2020;8(12):e21750