Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloCognitive computing for the automated extraction and meaningful use of health data in narrative medical notes: An application for hearing impaired aged patients
Anno di pubblicazione2018
FormatoElettronico
Autore/iTognola G.(1); Murri A.(2); Cuda D.(2)
Affiliazioni autori(1) Consiglio Nazionale Delle Ricerche (CNR), Istituto di Elettronica e di Ingegneria Dell'Informazione e Delle Telecomunicazioni (IEIIT-CNR), E-HealthLAB, Milan, 20133, Italy; (2) Ospedale 'Guglielmo da Saliceto', UO Otorinolaringoiatria, Piacenza, 29121, Italy
Autori CNR e affiliazioni
  • GABRIELLA TOGNOLA
Lingua/e
  • inglese
AbstractIt is currently estimated that 80% of health data, such as that coming from medical transcripts, medical notes, lab results, email messages, attachments, is unstructured. Being unstructured, this information cannot be processed through automated PC procedures but requires the interpretation of human beings. We propose a cognitive computing system to extract automatically meaningful health information from the textual documents of the patient folder and merge this information into a structured data frame. The system was tested on the medical documents generated in an audiological outpatient hospital service; the data corpus consisted of the documents and reports generated longitudinally from the enrollment visit to the last available follow-up of hearing impaired aged patients treated with cochlear implants (CI). The system is based on an Information Extraction (IE) module to extract meaningful health information, a couple of ontologies to interpret the meaning and classify the extracted information into a logical hierarchy and an ad hoc developed structured data frame to gather the information. The system was designed to be compliant with the clinical best practices of the audiological/ENT (Ear-Nose-Throat) medical domains to ensure its ease of use in the real practice. The performance was assessed by measuring the percentage of information correctly extracted by the system against the one manual extracted by two experts. The accuracy of the system was very good (recall= 0.78; precision=3D0.95).
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da299
Pagine a302
Pagine totali-
Rivista-
Numero volume della rivista2018-January
Serie/Collana-
Titolo del volume-
Numero volume della serie/collana-
Curatore/i del volume-
ISBN978-1-5386-2405-0
DOI10.1109/BHI.2018.8333428
Editore-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85050879559)
Parole chiavecognitive computing, electronic health record, hearing impairment, cochlear implants
Link (URL, URI)http://www.scopus.com/record/display.url?eid=2-s2.0-85050879559&origin=inward
Titolo convegno/congresso2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
Luogo convegno/congressoLas Vegas
Data/e convegno/congresso04/03/2018, 07/03/2018
RilevanzaInternazionale
RelazioneContributo
Titolo parallelo-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR-
Progetti Europei-
Allegati
  • Cognitive computing for the automated extraction and meaningful use of health data in narrative medical notes
    Descrizione: Articolo finale pubblicato