Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study
Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study
Frederic Gaspar
1, 2
* , PhD ;
Mehdi Zayene
3
, MSc ;
Claire Coumau
1, 2, 4
, MSc ;
Elliott Bertrand
3
, MSc ;
Marie Bettex
5
, MD ;
Marie Annick Le Pogam
5
* , MD, PhD ;
Chantal Csajka
2, 4
* , PhD
1
Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne, Switzerland
2
School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
3
Effixis SA, Lausanne, Switzerland
4
Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva and Lausanne, Switzerland
5
Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
*these authors contributed equally
Corresponding Author:
-
Frederic Gaspar, PhD
-
Center for Research and Innovation in Clinical Pharmaceutical Sciences
-
Rue du Bugnon 19
-
Lausanne 1011
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Switzerland
-
Phone:
41 763306834
-
Email: frederic.gaspar@chuv.ch