Text Mining in Electronic Medical Records Enables Quick and Efficient Identification of Pregnancy Cases Occurring After Breast Cancer.

Julie Labrosse,Thanh Lam,Clara Sebbag,Milena Benque,Inès Abdennebi,Hilde Merckelbagh,Marie Osdoit,Maël Priour,Julien Guerin,Thomas Balezeau,Beatriz Grandal,Florence Coussy,Angélique Bobrie,Loic Ferrer,Enora Laas,Jean-Guillaume Feron,Fabien Reyal,Anne-Sophie Hamy

Text Mining in Electronic Medical Records Enables Quick and Efficient Identification of Pregnancy Cases Occurring After Breast Cancer.

2019

Julie Labrosse
Thanh Lam
Clara Sebbag
Milena Benque
Inès Abdennebi
Hilde Merckelbagh
Marie Osdoit
Maël Priour
Julien Guerin
Thomas Balezeau
Beatriz Grandal
Florence Coussy
Angélique Bobrie
Loic Ferrer
Enora Laas
Jean-Guillaume Feron
Fabien Reyal
Anne-Sophie Hamy

PURPOSETo apply text mining (TM) technology on electronic medical records (EMRs) of patients with breast cancer (BC) to retrieve the occurrence of a pregnancy after BC diagnosis and compare its per...

Keywords:

Pregnancy
Breast cancer
Medical record
Text mining
Medical emergency
Medicine

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