01.04 - M-Health/E-Health 2022
DOI: 10.1183/13993003.congress-2022.2529
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Computational modelling for enhanced management of multimorbidity

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“…G onzalez C olom et al [ 88 ] (Barcelona, Spain) used registry data, clinical/functional status information and social care data to generate a predictive model of patients’ mortality and readmission risk at 90 days after hospital discharge, and were able to stratify risk profiles into four different clusters.…”
Section: Group 104: M-health/e-healthmentioning
confidence: 99%
“…G onzalez C olom et al [ 88 ] (Barcelona, Spain) used registry data, clinical/functional status information and social care data to generate a predictive model of patients’ mortality and readmission risk at 90 days after hospital discharge, and were able to stratify risk profiles into four different clusters.…”
Section: Group 104: M-health/e-healthmentioning
confidence: 99%