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 Concept Videos

Management of Insomnia01:19

Management of Insomnia

536
The sleep cycle, an integral part of human health, consists of several stages with distinct characteristics and functions. It begins with a transition from wakefulness to sleep, known as the light sleep phase, followed by the restorative deep sleep phase, essential for physical recovery and growth. The cycle concludes with the Rapid Eye Movement (REM) phase, characterized by high brain activity and vivid dreaming. Insomnia, a prevalent sleep disorder, involves difficulty falling asleep, staying...
536
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

400
Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
400
Insomnia01:27

Insomnia

406
Insomnia is a prevalent sleep disorder characterized by difficulty falling asleep, frequent awakenings during the night, and waking up too early without being able to return to sleep. People with insomnia often experience these disruptions at least three nights a week for at least one month. Chronic insomnia, which lasts for at least three months, can lead to increased anxiety, which in turn can worsen sleep difficulties, creating a cycle of sleeplessness and stress.
Multiple factors contribute...
406
Sleep Apnea01:21

Sleep Apnea

479
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
479

You might also read

Related Articles

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

Sort by
Same author

Simplifying Cohort Definition with a Conversational Query Builder.

Studies in health technology and informatics·2026
Same author

A Privacy Index Calculator for Federated Medical Studies.

Studies in health technology and informatics·2026
Same author

Biochef: a client-side WebAssembly-based workflow builder for genomic data analysis.

BMC bioinformatics·2026
Same author

A systematic review and benchmarking of modern metagenomic tools for taxonomic classification.

Computers in biology and medicine·2026
Same author

HYMET: a hybrid metagenomic pipeline for accurate and efficient taxonomic classification.

GigaScience·2026
Same author

Integrating energy expenditure into MTM-UAS: the Motion Energy Measurement (MEM) system for ergonomic assessment in assembly lines.

Ergonomics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026
Same journal

Post-Operative Pain Patterns and Trunk Alignment in Patients Following Surgery for Adolescent Idiopathic Scoliosis (AIS): From Pathway to Patterns.

Studies in health technology and informatics·2026
See all related articles
  1. Home
  3. Combining Statistical And Deep Learning Models For Insomnia Detection.
  1. Home
  3. Combining Statistical And Deep Learning Models For Insomnia Detection.

Related Experiment Video

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

971

Combining Statistical and Deep Learning Models for Insomnia Detection.

Luís Carlos Afonso1, João Rafael Almeida1, José Luís Oliveira1

  • 1IEETA / DETI, LASI, University of Aveiro, Portugal.

Studies in Health Technology and Informatics
|October 3, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a hybrid AI approach to accurately identify insomnia and its supporting evidence in clinical notes. The method enhances diagnostic accuracy and interpretability for better clinical adoption and research.

Keywords:
BERT token classificationClinical text analysisEvidence extractionFinite Context ModelsInsomnia detection

More Related Videos

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.7K

Related Experiment Videos

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

971
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.7K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Natural Language Processing

Background:

  • Insomnia is frequently underdiagnosed in clinical settings due to information being hidden in unstructured text.
  • Automated tools are needed to detect insomnia and supporting evidence for improved diagnosis and research.
  • Current models often lack interpretability, hindering clinical adoption.

Purpose of the Study:

  • To develop and evaluate a hybrid AI model that balances accuracy and interpretability for insomnia detection in clinical text.
  • To improve the identification of insomnia and its supporting evidence within unstructured electronic health records.
  • To facilitate clinical adoption through transparent and explainable AI methods.

Main Methods:

  • A hybrid approach combining Finite Context Models (FCMs) for insomnia classification and BERT-based models for evidence extraction.
  • Utilized structured annotations from the MIMIC-III dataset for model training and validation.
  • Employed character-level classification for insomnia status and token classification for evidence identification.

    • Main Results:

    • The hybrid model achieved accurate prediction of insomnia status.
    • The system successfully extracted textual evidence supporting insomnia diagnoses.
    • The approach demonstrated a balance between predictive performance and model explainability.

    Conclusions:

    • The developed hybrid AI method offers a promising solution for identifying insomnia in clinical text.
    • This approach enhances diagnostic capabilities and supports transparent decision-making in healthcare.
    • The balance of accuracy and interpretability is crucial for the clinical utility of AI tools in medical text analysis.