Skip to content
Claudio
Aracena
  • Research
  • Proyectos
  • CV

Categoría: papers

Abril 6, 2022

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (Summary)

Authors: Kexin Huang, Jaan Altosaar, and Rajesh Ranganath Year: 2019 Original Abstract: Clinical notes contain information about patients beyond structured data such as lab values or medications. However, clinical notes have been underused relative to…

Enero 24, 2022

Scalable and accurate deep learning with electronic health records (Summary)

Authors: Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E….

Enero 9, 2022

Predicting Unplanned Readmissions with Highly Unstructured Data (Summary)

Authors: Constanza Fierro, Jorge Perez, and Javier Mora Year: 2020 Original Abstract: Deep learning techniques have been successfully applied to predict unplanned readmissions of patients in medical centers. The training data for these models is…

Autor

Claudio Aracena
Claudio Aracena
Ingeniero UChile, master en TI USydney, cofundador Chatbot Chile, candidato a doctor UChile.
Powered by WordPress | Theme: Write by Themegraphy