Towards a personalized health care using a divisive hierarchical clustering approach for comorbidity and the prediction of conditioned group risks
Por:
Navarro-Cerdán J, Sánchez-Gomis M, Pons P, Gálvez-Settier S, Valverde F, Ferrer-Albero A, Saurí I, Fernández A, Redon J
Publicada:
1 oct 2023
Resumen:
The objective was to assess risk of hospitalization and mortality of comorbidities using divisive hierarchical risk clustering to advice clinical interventions. Subjects and Methods: Data from the EHR of a general population, 3799885 adults, followed by 5 years. Model were performed using Spark and Scikit-learn and accuracy for the models was analyzed. Results: The number of models generated depends in part on the number of chronic diseases included (ex testing a sample of six diseases, a total number of 397 models for all-cause mortality and 431 models for hospitalization). The estimated models offered an ordered selection for the relevant clinical variables and their estimated risk as a group and for the individual patient in the group. Accuracy was assessed according to age, sex and the cardinality of the comorbid groups. A mobile version and dashboard were developed. Conclusion: The software developed stratified hospital admission and mortality risk in clusters of chronic diseases, and for a given patient, it could advise intensifying treatment or reallocating the patient risk.
Filiaciones:
Navarro-Cerdán J:
Univ Politecnia Valencia, InstitutoTecnol Informat, Valencia, Spain
Univ Politecnia Valencia, Inst Tecnol Informat, Valencia 46022, Spain
Sánchez-Gomis M:
Univ Politecnia Valencia, InstitutoTecnol Informat, Valencia, Spain
Pons P:
Univ Politecnia Valencia, InstitutoTecnol Informat, Valencia, Spain
Gálvez-Settier S:
Univ Politecnia Valencia, InstitutoTecnol Informat, Valencia, Spain
Valverde F:
Univ Valencia, Valencia, Spain
Ferrer-Albero A:
INCLIVA, Valencia, Spain
Saurí I:
INCLIVA, Valencia, Spain
Fernández A:
INCLIVA, Valencia, Spain
Redon J:
INCLIVA, Valencia, Spain
CIBEROBN, Inst Salud Carlos III, Madrid, Spain
gold
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