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 Video

Updated: Jun 8, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Data mining techniques for analyzing stroke care processes.

Silvia Panzarasa1, Silvana Quaglini, Lucia Sacchi

  • 1CBIM, Pavia, Italy. silvia.panzarasa@unipv.it

Studies in Health Technology and Informatics
|September 16, 2010
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...

You might also read

Related Articles

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

Sort by
Same author

Hemorrhagic Transformation Mediates Stress Hyperglycemia Effect on Functional Outcome in Minor Ischemic Stroke.

Journal of the American Heart Association·2026
Same author

Evaluating large language models for structuring cardiology reports: a real-world clinical study on patient subtyping and trial recruitment.

International journal of medical informatics·2026
Same author

Machine Learning Prediction of Growth Hormone Response in Children Non-Growth Hormone-Deficient Short Stature.

Studies in health technology and informatics·2026
Same author

Ontology-Enriched Guidelines Retrieval for Complex Rheumatological Cases.

Studies in health technology and informatics·2026
Same author

Time is brain: an expanded concept, not only for ischemic stroke A viewpoint of the Italian Association for Emergency Neurology (ANEU).

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

Agilik@home: A randomized controlled trial protocol to evaluate the effects of home-based training with the Agilik powered KAFO in children with cerebral palsy and crouch gait.

PloS one·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Specialized stroke units improve patient outcomes. However, data mining reveals that adhering to all clinical practice guidelines doesn't always guarantee better results for stroke patients.

Area of Science:

  • Neurology
  • Health Services Research
  • Data Science

Background:

  • Controlled trials confirm stroke unit benefits for patient mortality and disability.
  • Gaps exist in understanding effective stroke unit interventions and guideline impact.

Purpose of the Study:

  • To analyze stroke care quality using data mining on a regional stroke register.
  • To identify key indicators for monitoring acute stroke care adequacy.

Main Methods:

  • Applied data mining techniques to a stroke register from the Lombardia region, Italy.
  • Analyzed relationships between adherence to clinical practice guidelines and patient outcomes.

Main Results:

  • Stroke registers effectively collect data for analyzing care processes and healthcare planning.

Related Experiment Videos

Last Updated: Jun 8, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

  • Analysis yielded expected and unexpected findings regarding guideline compliance and patient outcomes.
  • Not all adherence to recommendations correlated with improved patient outcomes.
  • Conclusions:

    • While specialized stroke care is beneficial, the precise impact of specific interventions and guideline adherence requires further investigation.
    • Stroke registers are valuable tools for quality assessment and research in acute stroke care.