e.g. mhealth
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Skip search results from other journals and go to results- 14 Journal of Medical Internet Research
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Accordingly, we formulated an ML-based framework to identify participants using the clinical laboratory test values of candidates. In this study, we chose to compare the ML-based method with a random selection method, which we considered representative of the common practice in clinical settings where patient lists are screened sequentially.
JMIR AI 2025;4:e64845
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Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach
In conclusion, our study established a predictive framework using EHR data to assess the association between risk factors and cancer outcomes using explainable ML models across major cancer types. We reported critical nontraditional chronic condition risk factors in addition to common demographic risk factors and outlined distinct patterns for each of the 4 cancer types studied. Additionally, we explored the similarities and differences in risk factor patterns across these cancers.
JMIR Cancer 2025;11:e62833
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While AI plays a crucial role, particularly through the use of LLMs and machine learning (ML), it is used selectively within the broader software framework to enhance specific tasks.
LLMs are used in generating related search terms, expanding upon human-generated queries to enhance the comprehensiveness of literature searches. Any LLM can be adapted to TU software, up to date we have used Chat GPT 4 [18].
JMIR Res Protoc 2025;14:e67248
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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance
ml
JMIR Med Educ 2025;11:e67244
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