Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

BACKGROUND: One of the major challenges in the health care sector is that approximately 80% of generated data remains unstructured and unused. Since it is difficult to handle unstructured data from electronic medical record systems, it tends to be neglected for analyses in most hospitals and medical...

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Detalles Bibliográficos
Autores principales: Sai Prashanthi, Gumpili, Deva, Ayush, Vadapalli, Ranganath, Das, Anthony Vipin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775202/
https://www.ncbi.nlm.nih.gov/pubmed/33331823
http://dx.doi.org/10.2196/24490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775202/
https://www.ncbi.nlm.nih.gov/pubmed/33331823
http://dx.doi.org/10.2196/24490

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