Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality.

Detalles Bibliográficos
Publicado en:NPJ Digital Medicine Vol. 8; no. 1; pp. 1 - 14
Autores principales: Hwang, Minjoo, Rachim, Vega Pradana, Yoo, Junyoung, Lee, Yein, Park, Sung-Min
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature 10/16/2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 10/16/2025
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      pub: Springer Nature
      place: New York, New York
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        atl: Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality.
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        au:
          Hwang, Minjoo
          Rachim, Vega Pradana
          Yoo, Junyoung
          Lee, Yein
          Park, Sung-Min
        affil: https://ror.org/04xysgw12 Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea
      sug:
        subj:
          Diabetes Mellitus, Type 1 Drug Therapy
          Continuous Glucose Monitoring
          Task Performance and Analysis
          Hypoglycemia Diagnosis
          Computer Simulation
          Prediction Models
          Insulin Administration and Dosage
          Insulin Infusion Systems
          Automation
          Human
          Sensitivity and Specificity
          Diabetic Patients
          Female
          Male
          Adult
          Middle Age
          Aged
          Descriptive Statistics
          Wilcoxon Signed Rank Test
          Youden's J Statistic
          Funding Source
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Female
          Male
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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