e.g. mhealth
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Skip search results from other journals and go to results- 2 Journal of Medical Internet Research
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In this paper, we present our ML modeling and ranking framework to address these challenges. The framework is designed to induce improved predictions for multimodal sensing. It balances both user-agnostic and personalized modeling of small data sets encountered often in mental and physical health–based studies.
JMIR AI 2024;3:e47805
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Ranking of the 10 leading causes of death for both sexes of all ages in the United States according to (A) the World Health Organization (WHO) list and (B) the National Center for Health Statistics (NHCS) list. This dashboard is accessible [17].
JMIR Public Health Surveill 2023;9:e42149
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We designed a prediction model of TD as a ranking problem with imbalanced data to compare patients by length of time until TD. The ranking problem [26] is an application of survival time analysis [27]. Cox regression [28] is generally used in statistical analysis, whereas the ranking model is used in ML [29-31]. Cox regression is a model of the hazard function in which the effects of the explanatory variables on outcomes are predetermined, requiring an assumption that they remain constant over time [28].
JMIR Bioinform Biotech 2022;3(1):e37951
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After ranking variables by importance, we chose the top 10 most influential variables and retrained the auto ML models to generate new models that only used these 10 variables. This was done to create high-performing models with low dimensionality. In addition, we sought to provide interpretable black-box model results to clinicians and patients.
J Med Internet Res 2021;23(2):e23458
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As search capabilities advanced, ranking algorithms also emerged. Luo et al [21] presented a ranking algorithm to produce a drug repurposing recommendation system. Karatszas et al [22] presented a web-based tool, which they called composite drug reranking scoring, to identify the most promising drugs and chemical substances to test.
J Med Internet Res 2020;22(8):e21169
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