Developing Artificial Intelligence Models for Extracting Oncologic Outcomes from Japanese Electronic Health Records

INTRODUCTION: A framework that extracts oncological outcomes from large-scale databases using artificial intelligence (AI) is not well established. Thus, we aimed to develop AI models to extract outcomes in patients with lung cancer using unstructured text data from electronic health records of mult...

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Detalles Bibliográficos
Autores principales: Araki, Kenji, Matsumoto, Nobuhiro, Togo, Kanae, Yonemoto, Naohiro, Ohki, Emiko, Xu, Linghua, Hasegawa, Yoshiyuki, Satoh, Daisuke, Takemoto, Ryota, Miyazaki, Taiga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988800/
https://www.ncbi.nlm.nih.gov/pubmed/36547809
http://dx.doi.org/10.1007/s12325-022-02397-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988800/
https://www.ncbi.nlm.nih.gov/pubmed/36547809
http://dx.doi.org/10.1007/s12325-022-02397-7

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