e.g. mhealth
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Skip search results from other journals and go to results- 9 Journal of Medical Internet Research
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Nevertheless, no study to date considered disease phenotype, stage, and symptom severity when assessing the reliability of consumer wrist-worn devices for step counting in unsupervised, free-living conditions in mild-to-moderate people with PD. This study was hence specifically designed to address this issue.
JMIR Form Res 2025;9:e63153
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Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study
The Mac Arthur Study of Successful Aging captured 2 subdimensions of the CHS phenotype, in which slower gait, weaker grip strength, and lower physical activity define the first component that can better predict cognitive impairment, disability, and mortality, while exhaustion and weight loss define the second component [11].
J Med Internet Res 2024;26:e58466
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Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review
Components we extracted included study characteristics (country, year, and inpatient or outpatient setting), the specific data source and details of the data, and the validation methodology (eg, medical record review), as well as detailed descriptions of the phenotype developed, the methods used, and the purpose for the case definition. We recorded the performance of the developed algorithms as reported in each study.
JMIR Med Inform 2024;12:e49781
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Deer et al [52] identified 303 articles published before April 29, 2021, curated 59 relevant manuscripts that described clinical manifestations in 81 cohorts of individuals 3 weeks or more following acute COVID-19, and mapped 287 unique clinical findings to Human Phenotype Ontology (HPO) terms.
JMIR Med Inform 2024;12:e49997
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The following results include the percentage of patients identified by each phenotype while simulating data quality issues using diagnosis codes. Figures S1 to S3 in Multimedia Appendix 1 show the same diagnosis results but depict the frequency of patients identified by each phenotype. Figures S4 to S17 in Multimedia Appendix 1 show results as the percentages and frequencies of patients identified by each phenotype while simulating data quality issues using medication and laboratory data types.
JMIR Med Inform 2024;12:e56734
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This study aims to obtain clinical consensus on a risk-stratified phenotype of adult “immunosuppression” to be implemented within UK health databases as standard. The use of COVID-19 as our reference condition is justified by pandemic gains to the immunosuppressed literature base [11].
JMIR Res Protoc 2024;13:e56271
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A digital phenotype is a set of rules that allows the identification of cases, such as ILI or ARI, from the computerized medical record (CMR) [27]. At the RSC, we have a well-established digital phenotype for ILI. To bring our strategy in line with the most recent WHO recommendations, we are developing a new ARI phenotype for the coming season.
JMIR Public Health Surveill 2024;10:e52047
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Previously, researchers aimed to phenotype patients with AD using EHR data. In particular, Gustafson et al [10] trained a logistic regression model with lasso regularization to identify cases of AD from the Northwestern Medical Enterprise Data Warehouse, which contained both structured data (ICD Ninth and Tenth Revision codes, medication prescriptions, and laboratory results) as well as unstructured data (clinician notes from patient encounters).
JMIR Form Res 2024;8:e52200
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A recent related ARDS study explored the application of supervised GBM phenotype classifiers trained using routinely available observational data and clustering-identified labels and achieved a phenotype classifier with an area under the curve (AUC) of 0.95 [24].
JMIR Form Res 2023;7:e46807
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