Longitudinal electronic health record prediction model

Exposure

1 paper studies it4 findings

Across all fields, 1 paper: 1 observational study in people

  • Humans1

Associations

4

5-year home care need

upin silico1

1 study
  1. Longitudinal electronic health record prediction model predicts 5-year home care need in silico (1.2-fold higher Cohen's kappa).

    “Cohen's kappa obtained using longitudinal data was 3.4-fold (1-year all-cause mortality), 10.3-fold (5-year all-cause mortality), 1.1-fold (5-year nursing home admission), and 1.2-fold (5-year home care need) higher”

    In silicolongitudinal EHR prognostic model vs 1-year history baseline5-year

    Development of Attention-based Prediction Models for All-cause Mortality, Home Care Need, and Nursing Home Admission in Ageing Adults in Spain Using Longitudinal Electronic Health Record Data

    Journal of medical systems

5-year nursing home admission

upin silico1

1 study
  1. Longitudinal electronic health record prediction model predicts 5-year nursing home admission in silico (1.1-fold higher Cohen's kappa).

    “Cohen's kappa obtained using longitudinal data was 3.4-fold (1-year all-cause mortality), 10.3-fold (5-year all-cause mortality), 1.1-fold (5-year nursing home admission), and 1.2-fold (5-year home care need) higher”

    In silicolongitudinal EHR prognostic model vs 1-year history baseline5-year

    Development of Attention-based Prediction Models for All-cause Mortality, Home Care Need, and Nursing Home Admission in Ageing Adults in Spain Using Longitudinal Electronic Health Record Data

    Journal of medical systems

5-year all-cause mortality

upin silico1

1 study
  1. Longitudinal electronic health record prediction model predicts 5-year all-cause mortality in silico (10.3-fold higher Cohen's kappa).

    “Cohen's kappa obtained using longitudinal data was 3.4-fold (1-year all-cause mortality), 10.3-fold (5-year all-cause mortality), 1.1-fold (5-year nursing home admission), and 1.2-fold (5-year home care need) higher”

    In silicolongitudinal EHR prognostic model vs 1-year history baseline5-year

    Development of Attention-based Prediction Models for All-cause Mortality, Home Care Need, and Nursing Home Admission in Ageing Adults in Spain Using Longitudinal Electronic Health Record Data

    Journal of medical systems

1-year all-cause mortality

upin silico1

1 study
  1. Longitudinal electronic health record prediction model predicts 1-year all-cause mortality in silico (3.4-fold higher Cohen's kappa).

    “Cohen's kappa obtained using longitudinal data was 3.4-fold (1-year all-cause mortality), 10.3-fold (5-year all-cause mortality), 1.1-fold (5-year nursing home admission), and 1.2-fold (5-year home care need) higher”

    In silicolongitudinal EHR prognostic model vs 1-year history baseline1-year

    Development of Attention-based Prediction Models for All-cause Mortality, Home Care Need, and Nursing Home Admission in Ageing Adults in Spain Using Longitudinal Electronic Health Record Data

    Journal of medical systems

Latest