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Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

For example, Hui et al [27] identified that both emotional and informational needs from OHCs were extractable. However, our study only focused on the accuracy of the information needed. To deliver a holistic care approach for survivors of DV, cocreation and validation with concerned parties regarding the LLM prediction results regarding both informational and emotional needs could greatly improve the practicality, applicability, feasibility, and usefulness of our proposed model.

Shaowei Guan, Vivian Hui, Gregor Stiglic, Rose Eva Constantino, Young Ji Lee, Arkers Kwan Ching Wong

J Med Internet Res 2025;27:e65397

Effectiveness of Serious Games as Digital Therapeutics for Enhancing the Abilities of Children With Attention-Deficit/Hyperactivity Disorder (ADHD): Systematic Literature Review

Effectiveness of Serious Games as Digital Therapeutics for Enhancing the Abilities of Children With Attention-Deficit/Hyperactivity Disorder (ADHD): Systematic Literature Review

Jing Lin and Woo-Rin Chang independently extracted this information using predefined Microsoft Excel (Table 4). Subsequently, the authors thoroughly reviewed and validated the collected data to ensure accuracy and reliability. In cases of disagreement, consensus was reached through discussion. Finally, the data were organized and categorized for each specific outcome to enable a comprehensive assessment of the findings. Characteristics of included studies.

Jing Lin, Woo-Rin Chang

JMIR Serious Games 2025;13:e60937