Login / Signup

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

Pierandrea MorandiniMaria Elena LainoGiovanni PaolettiAlessandro CarlucciTobia TommasiniGiovanni AngelottiJack PepysGiorgio Walter CanonicaEnrico HefflerVictor SavevskiFrancesca Puggioni
Published in: Clinical and translational allergy (2022)
This analysis seems to be valid and is confirmed by the data from the literature. This means that NLP tools could have significant role in many other research fields of medicine, as it may help identify other important, and possibly previously neglected clusters of patients with comorbidities and commonalities. Another potential benefit of this approach lies in its potential ability to foster a multidisciplinary approach, using the same drugs to treat pathologies normally treated by physicians in different branches of medicine, thus saving resources and improving the pharmacological management of patients.
Keyphrases
  • electronic health record
  • artificial intelligence
  • big data
  • machine learning
  • clinical decision support
  • deep learning
  • primary care
  • systematic review
  • adverse drug
  • risk assessment
  • climate change
  • drug induced