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Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes.

Angela LeisDavid CasadevallJoan AlbanellMargarita PossoFrancesc MaciàXavier CastellsJuan Manuel Ramírez-AnguitaJordi Martinez RoldanLaura I FurlongFerran SanzFrancesco RonzanoMiguel Angel Mayer
Published in: JMIR cancer (2022)
This study provides new clinical evidence of the depression-cancer comorbidity and supports the use of natural language processing for extracting and analyzing free-text clinical notes from electronic health records, contributing to the identification of additional clinical data that complements those provided by coded data to improve the management of these patients.
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