Sequential Data–Based Patient Similarity Framework for Patient Outcome Prediction: Algorithm Development

BACKGROUND: Sequential information in electronic medical records is valuable and helpful for patient outcome prediction but is rarely used for patient similarity measurement because of its unevenness, irregularity, and heterogeneity. OBJECTIVE: We aimed to develop a patient similarity framework for...

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Detalles Bibliográficos
Autores principales: Wang, Ni, Wang, Muyu, Zhou, Yang, Liu, Honglei, Wei, Lan, Fei, Xiaolu, Chen, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778569/
https://www.ncbi.nlm.nih.gov/pubmed/34989682
http://dx.doi.org/10.2196/30720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778569/
https://www.ncbi.nlm.nih.gov/pubmed/34989682
http://dx.doi.org/10.2196/30720

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