Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas.

ABSTRACT:

Background

Comorbidities are common in chronic inflammatory conditions, requiring multidisciplinary treatment approach. Understanding the link between a single disease and its comorbidities is important for appropriate treatment and management. We evaluate the ability of an NLP-based process for knowledge discovery to detect information about pathologies, patients' phenotype, doctors' prescriptions and commonalities in electronic medical records, by extracting information from free narrative text written by clinicians during medical visits, resulting in the extraction of valuable information and enriching real world evidence data from a multidisciplinary setting.

Methods

We collected clinical notes from the Allergy Department of Humanitas Research Hospital written in the las

SUBMITTER: Morandini P 

PROVIDER: S-EPMC9175261 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature