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Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions

Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions

Similar to traditional models, the most effective solution in AI models is still to collect objective data, instead of relying solely on self-reported data whenever possible. Even electronic health records (EHR) can contain incorrect data, which may be difficult to detect and therefore easily overlooked [62].

Yu-Qing Cai, Da-Xin Gong, Li-Ying Tang, Yue Cai, Hui-Jun Li, Tian-Ci Jing, Mengchun Gong, Wei Hu, Zhen-Wei Zhang, Xingang Zhang, Guang-Wei Zhang

J Med Internet Res 2024;26:e47645

Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study

Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study

Furthermore, they rarely evaluate all 4 key characteristics: clinical relevance, use potential, the quality of the provider, and the specificities of the solution. We therefore set out to propose a rapid prescreening evaluation score. Although it can be used by any health care stakeholder, we determined 3 priority target users: e Health solution designers, potential investors, and hospital decision-makers wishing to evaluate an existing or potential future solution.

Nicolas Wagneur, Patrick Callier, Jean-David Zeitoun, Denise Silber, Remi Sabatier, Fabrice Denis

J Med Internet Res 2022;24(7):e39590

EpiHacks, a Process for Technologists and Health Experts to Cocreate Optimal Solutions for Disease Prevention and Control: User-Centered Design Approach

EpiHacks, a Process for Technologists and Health Experts to Cocreate Optimal Solutions for Disease Prevention and Control: User-Centered Design Approach

Engaging local technologists and health experts from idea inception to prototype development can ensure that the appropriate contexts, such as language, culturally relevant imagery, and social norms, are duly considered when creating any solution to identified challenges. Additionally, innovative solutions that are generated through the use of existing infrastructures and widely available technologies are more likely to be widely adopted and affordable.

Nomita Divi, Mark Smolinski

J Med Internet Res 2021;23(12):e34286