Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

The Availability Heuristic

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):

Personal Protective Equipment

Personal Protective Equipment

Personal protective equipment (PPE) is unique clothing or equipment worn by an employee to minimize or prevent exposure to infectious agents. PPE creates a barrier between the employee and the infectious materials. PPE must be readily available in the patient care area. PPE includes gloves, gowns and aprons, masks and respirators, goggles, face shields, shoes, and headcovers:

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

Elastic Collisions: Case Study

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...

Burn Injuries

Burn Injuries

Burn injuries occur when the skin and underlying tissues are damaged due to exposure to heat, electricity, chemicals, radiation, or friction. They can vary in severity, from minor superficial burns to severe deep burns that can be life-threatening.
The damage results in the death of skin cells, which can lead to a massive loss of fluid. Dehydration, electrolyte imbalance, and renal and circulatory failure follow, which can be fatal. Burn patients are treated with intravenous fluids to offset...

Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

You might also read

Related Articles

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

Sort by

Same author

Practical evaluation of skin temperature sensors in children during three phases: Clinical differences between contact and infrared methods.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine·2026

Same author

Effects of automated massage chair therapy on mental health and physical health: A comprehensive study.

Complementary therapies in medicine·2026

Same author

Synthesis of Poly(ethylene terephthalate) Reinforced with Zinc Oxide Nanoparticles via Solution Blending for Prosthetic Socket Material: Physicochemical and Antibacterial Studies.

ACS omega·2026

Same author

Emerging Oncolytic Viruses: Beyond Adenoviruses and Herpes Simplex Virus.

Journal of Cancer·2026

Same author

Medical Image Segmentation Methods: A Decision-Guided Survey Covering 2D/3D CNNs, Transformers, VLMs, SAM-Based Models and Diffusion Approaches.

Bioengineering (Basel, Switzerland)·2026

Same author

Tannic Acid as a Multifunctional Regulator in Calcium Phosphate Bone Biomaterials: Design Opportunities and Unresolved Challenges.

Biomaterials advances·2026

Search research articles

Related Experiment Video

Updated: Aug 26, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Predicting occupational injury causal factors using text-based analytics: A systematic review.

Mohamed Zul Fadhli Khairuddin^1,2, Khairunnisa Hasikin^1,3, Nasrul Anuar Abd Razak¹

¹Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.

Frontiers in Public Health

|October 3, 2022

Summary

This study reviews text mining and Natural Language Processing (NLP) applications for analyzing occupational injury reports. While traditional NLP models predict injuries, deep learning shows promise for extracting injury data and improving workplace safety.

Keywords:

artificial intelligence deep learning machine learning natural language processing occupational health and safety

More Related Videos

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Related Experiment Videos

Last Updated: Aug 26, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

Occupational Safety and Health
Data Science
Computer Science

Background:

Workplace accidents result in significant human and financial losses.
Occupational injury reports contain valuable narrative data for analysis.
Extracting and analyzing this narrative data is crucial for understanding and preventing incidents.

Approach:

A systematic review of text mining and Natural Language Processing (NLP) applications in occupational injury analysis was conducted.
Searches across Scopus, PubMed, and Science Direct identified 27 relevant original studies using machine and deep learning models.
The Preferred Reporting Items for Systematic Review (PRISMA) guidelines were followed.

Key Points:

Various machine learning (K-means, Naïve Bayes, SVM, Decision Tree, KNN) and deep learning models are used for predicting occupational injuries.
Deep neural networks are employed for classifying accident types and identifying causal factors.
There is limited use of deep learning models for extracting injury report narratives, attributed to their recent development.

Conclusions:

Natural Language Processing (NLP) and text analytics offer significant potential for occupational injury research.
Future research should focus on improving data balancing techniques and developing automated decision-support systems using deep learning-based NLP models.
Advancing the application of deep learning in occupational safety and health decision-making is recommended.