e.g. mhealth
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Skip search results from other journals and go to results- 8 Journal of Medical Internet Research
- 3 JMIR mHealth and uHealth
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- 2 JMIR Public Health and Surveillance
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Net Reproduction Number as a Real-Time Metric of Population Reproducibility
The TFR does not account for mortality rates among childbearing-age women, possibly affecting population reproducibility [2,4]. These limitations reduce TFR’s ability to accurately reflect a country’s population replacement dynamics. Therefore, the net reproduction rate (Rt), the number of daughters a woman of childbearing age would produce under prevailing fertility and mortality conditions, is better.
JMIR Public Health Surveill 2025;11:e63603
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Reproducibility: variation in response with the use of different prompts with the same patient vignette.
Diagnostic accuracy: overall accuracy of triage when compared to a documented reference standard.
This study was based on a crossed gage repeatability and reproducibility (gage R and R) study with a comparison to a standard [9]. An easily approachable summary of this methodology is available on the American Society of Quality website [10].
J Med Internet Res 2024;26:e55648
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We used Kendall W, or the coefficient of concordance [24,25], to measure reproducibility between raters for the same violent situation profiles. Kendall W was corrected for ties (see formula in the “Kendall W Coefficient of Concordance” section of Multimedia Appendix 1).
For each physician, we randomly matched patients within the same violent situation profile and used Kendall W to measure the reproducibility of scales when a physician examined patients with the same violent situation profile.
JMIR Public Health Surveill 2024;10:e43563
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Therefore, the goal of this study was to use transcripts from simulated patient-provider encounters to determine the accuracy, readability, and reproducibility of Chat GPT-4–generated Subjective, Objective, Assessment, and Plan (SOAP) notes.
As part of a project designed to evaluate the accuracy and efficacy of human scribe–generated notes, we created 14 simulated patient-provider encounters. All encounters used professional standardized patients and represented a wide range of ambulatory specialties.
J Med Internet Res 2024;26:e54419
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A Multidisciplinary Assessment of ChatGPT’s Knowledge of Amyloidosis: Observational Study
This study aims to build upon previous literature by using a multidisciplinary approach in assessing Chat GPT’s (1) accuracy in answering questions related to amyloidosis, particularly concerning cardiology, gastroenterology, and neurology; (2) reproducibility of responses; (3) readability; and (4) comparison of performance between Chat GPT-4 and Chat GPT-3.5.
JMIR Cardio 2024;8:e53421
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Reproducibility was assessed by test-retest reliability. Since each scale to determine vegetable variety was intended to be ranked, correlation coefficients were calculated. Furthermore, because the recorded variable distributions were determined not to be normally distributed by the histograms, the Spearman correlation coefficient was used to examine the validity and reproducibility. SPSS Statistics (version 27; IBM Corp) was used for analysis.
JMIR Form Res 2024;8:e55795
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We requested the raw data to reproduce the analyses (see definition of “reproducing” in Reproducibility and Replicability in Science [5]) and potentially use alternative corrected methods to reanalyze the data. Data were not shared with us. The authors stated that this decision was made “to ensure the integrity of ongoing research being conducted using the same dataset.”
J Med Internet Res 2024;26:e54090
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Machine Learning and Health Science Research: Tutorial
In general, throughout the study design process, documentation and preplanning are highly recommended for the sake of reproducibility of the work carried out. For a visual illustration of the research pipeline flowchart, see Figure 1. There are also existing pipelines such as MLOps and CRISP used in business and industry settings that may be adapted to health science research fields; however, this paper will follow a framework more commonly seen in health science research.
J Med Internet Res 2024;26:e50890
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The generation of fake data is of particular concern since reproducibility has never been prioritized. Code sharing is very much optional in most publication venues, and data sharing agreements for reproducing results are as complicated as they have always been. Chat GPT is not the creator of these issues; it instead enables this problem to exist at a much larger scale.
J Med Internet Res 2023;25:e49323
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Although a few reporting guidelines regarding code-variable mapping and time windows have been proposed to improve the transparency and reproducibility of RWE [17,18], no clear data curation or statistical analysis guidelines have been developed. Harnessing unstructured data, such as clinical notes and images, can provide a more granular view of a patient’s health status that is not captured in structured data and can expand the availability of critical data for RWE generation.
J Med Internet Res 2023;25:e45662
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