ArticleNPJ digital medicine2021
Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study.
Article in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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The trial behind it
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Who cites it
29 citing papers in PubMed.
- Characteristics of self-reported asthenopia in a large-scale crowdsourced study using the smartphone application DryEyeRhythm.Scientific reports · 2026Article
- Symptom-based stratification of heterogeneous symptoms of dry eye disease in patients with Sjögren's syndrome.Eye (London, England) · 2025Article
- Integration of Digital Phenotyping and Genomics for Dry Eye Disease: Protocol for a Prospective Cohort Study.JMIR research protocols · 2025Article
- The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact.NPJ digital medicine · 2025Review
- Profiling eyewash usage and preferences in individuals with hay fever using a digital cross-sectional cohort study with AllerSearch.Scientific reports · 2025Article
- User-Centred Design and Development of a Smartphone Application (Healthcare (Basel, Switzerland) · 2024Article
- Minimal Clinically Important Differences With the Outcomes of the App-Based Japanese Allergic Conjunctival Diseases Quality of Life Questionnaire: Cross-Sectional Observational Study.JMIR formative research · 2024Observational
- Relationship between dry eye disease and myopia: A systematic review and meta-analysis.Heliyon · 2024Article
- Optimal cutoff value of the dry eye-related quality-of-life score for diagnosing dry eye disease.Scientific reports · 2024Article
- A Medical Paradigm Shift in Society 5.0: Implementation of a Smartphone App-based Dry Eye Diagnosis Assistance Software as a Medical Device.Juntendo Iji zasshi = Juntendo medical journal · 2024Article
- Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study.Eye (London, England) · 2023Article
- Design and Usability Study of a Point of Care mHealth App for Early Dry Eye Screening and Detection.Journal of clinical medicine · 2023Article
- Using the AllerSearch Smartphone App to Assess the Association Between Dry Eye and Hay Fever: mHealth-Based Cross-Sectional Study.Journal of medical Internet research · 2023Observational
- Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis.Scientific reports · 2023Observational
- Smartphone App-Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study.Journal of medical Internet research · 2023Article
- The minimal clinically important difference of app-based electronic patient-reported outcomes for hay fever.Clinical and translational allergy · 2023Article
- Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study.JMIR research protocols · 2023Article
- Big data in corneal diseases and cataract: Current applications and future directions.Frontiers in big data · 2023Review
- Prevalence and Risk Factors for Symptomatic Dry Eye Disease Based on McMonnies Questionnaire Among Medical Students, Saudi Arabia; a Cross-Sectional Study.International journal of general medicine · 2023Article
- P4 Medicine for Heterogeneity of Dry Eye: A Mobile Health-based Digital Cohort Study.Juntendo Iji zasshi = Juntendo medical journal · 2023Review
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multidimensional integrative data analysis of digital phenotyping is crucial for elucidating the pathologies of multifactorial and heterogeneous diseases, such as the dry eye (DE). This crowdsourced cross-sectional study explored a novel smartphone-based digital phenotyping strategy to stratify and visualize the heterogenous DE symptoms into distinct subgroups. Multidimensional integrative data were collected from 3,593 participants between November 2016 and September 2019. Dimension reduction via Uniform Manifold Approximation and Projection stratified the collected data into seven clusters of symptomatic DE. Symptom profiles and risk factors in each cluster were identified by hierarchical heatmaps and multivariate logistic regressions. Stratified DE subgroups were visualized by chord diagrams, co-occurrence networks, and Circos plot analyses to improve interpretability. Maximum blink interval was reduced in clusters 1, 2, and 5 compared to non-symptomatic DE. Clusters 1 and 5 had severe DE symptoms. A data-driven multidimensional analysis with digital phenotyping may establish predictive, preventive, personalized, and participatory medicine.
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Registered trials
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