Reducing diagnostic delays in Acute Hepatic Porphyria using electronic health records data and machine learning: a multicenter development and validation study

IMPORTANCE: Acute Hepatic Porphyria (AHP) is a group of rare but treatable conditions associated with diagnostic delays of fifteen years on average. The advent of electronic health records (EHR) data and machine learning (ML) may improve the timely recognition of rare diseases like AHP. However, pre...

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Detalles Bibliográficos
Autores principales: Bhasuran, Balu, Schmolly, Katharina, Kapoor, Yuvraaj, Jayakumar, Nanditha Lakshmi, Doan, Raymond, Amin, Jigar, Meninger, Stephen, Cheng, Nathan, Deering, Robert, Anderson, Karl, Beaven, Simon W., Wang, Bruce, Rudrapatna, Vivek A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491361/
https://www.ncbi.nlm.nih.gov/pubmed/37693437
http://dx.doi.org/10.1101/2023.08.30.23293130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491361/
https://www.ncbi.nlm.nih.gov/pubmed/37693437
http://dx.doi.org/10.1101/2023.08.30.23293130

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