Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Distributed intelligent data analysis in diabetic patient management

R Bellazzi1, C Larizza, A Riva

  • 1Dipartimento di Informatica e Sistemistica, Università di Pavia, Italy.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Breaking barriers in extensively drug-resistant TB: pretomanid-centred long regimen achieves cure in a bedaquiline-resistant strain.

IJTLD open·2026
Same author

Unilateral uveitis following adjuvanted Varicella-Zoster subunit vaccine in a patient with previously resolved Varicella Zoster acute retinal necrosis.

Journal of ophthalmic inflammation and infection·2025
Same author

Synergistic inhibition of pneumococcal growth by <i>Dolosigranulum pigrum</i> and <i>Corynebacterium pseudodiphtheriticum:</i> insights into nasopharyngeal microbial interactions.

Microbiology spectrum·2025
Same author

Rifampicin drug monitoring in TB patients: new evidence for increased dosage?

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2025
Same author

<i>ARID1B</i>-related disorder in 87 adults: Natural history and self-sustainability.

Genetics in medicine open·2024
Same author

Nitrate: "the source makes the poison".

Critical reviews in food science and nutrition·2024
Same journal

Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports.

Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium·1997
Same journal

Searching for information on the Internet using the UMLS and Medical World Search.

Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium·1997
Same journal

Text structures in medical text processing: empirical evidence and a text understanding prototype.

Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium·1997
Same journal

A natural language parsing system for encoding admitting diagnoses.

Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium·1997
Same journal

Meeting clinician information needs by integrating access to the medical record and knowledge resources via the Web.

Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium·1997
Same journal

Electronic forms: benefits drawbacks of a World Wide Web-based approach to data entry.

Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium·1997
See all related articles

This study introduces a system for intelligent analysis of diabetic patient data using temporal abstraction and time series analysis. It enables cooperative data interpretation between patient and medical units for better diabetes management.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Data Science

Background:

  • Diabetes management requires continuous patient data monitoring.
  • Distributed data management presents challenges in analysis and interpretation.
  • Existing systems may lack intelligent, cooperative analysis capabilities.

Purpose of the Study:

  • To outline methodologies for intelligent analysis of diabetic patient data in a distributed context.
  • To present a novel decision-support system architecture for diabetes care.
  • To enhance cooperative data interpretation between patients and medical professionals.

Main Methods:

  • Development of a distributed decision-support system with Patient and Medical Units.
  • Application of temporal abstraction techniques for data simplification.

Related Experiment Videos

  • Utilization of time series analysis for trend identification.
  • Telecommunication services for module connectivity.

    • Main Results:

    • A functional architecture for intelligent diabetes data analysis is proposed.
    • Temporal abstraction and time series analysis are shown to be effective for deriving patient insights.
    • Cooperative analysis between patient and medical units is facilitated.

    Conclusions:

    • The proposed system enables intelligent, distributed analysis of diabetic patient data.
    • Temporal abstraction and time series analysis are crucial for providing actionable advice.
    • Cooperative data interpretation enhances the effectiveness of diabetes management systems.