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

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

1.3K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
1.3K
Systematic Sampling Method01:17

Systematic Sampling Method

13.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.7K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.7K
3.7K
Base Excision Repair01:54

Base Excision Repair

5.4K
5.4K
Data Collection by Survey01:07

Data Collection by Survey

9.4K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
9.4K
Drug Discovery: Overview01:26

Drug Discovery: Overview

12.5K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
12.5K

You might also read

Related Articles

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

Sort by
Same author

Adherence to Red Reflex and Vision Screening Recommendations: A Deep Dive into Primary Care Implementation Gaps.

medRxiv : the preprint server for health sciences·2026
Same author

Understanding capability, opportunity, and motivation for at-home COVID-19 testing in underserved populations during the pandemic.

Translational behavioral medicine·2026
Same author

Mixed-Method Formative Evaluation and Cultural Adaptation of Digital Health Communication Content and Delivery Promoting Lung Cancer Screening Shared Decision-Making.

Cancer control : journal of the Moffitt Cancer Center·2026
Same author

An exploratory mixed-methods study using the ELICIT framework to identify stakeholder-informed implementation strategies for a population health platform.

BMC health services research·2026
Same author

Enhancing prediction of inpatient deterioration by combining clinical and nurse concern features, with or without temporal clustering.

JAMIA open·2026
Same author

MyLungHealth, a Patient-Facing Education Tool for Lung Cancer Screening: Qualitative User-Centered Design Study.

JMIR formative research·2026

Related Experiment Video

Updated: Mar 10, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

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

Published on: September 20, 2018

16.6K

Extractive text summarization system to aid data extraction from full text in systematic review development.

Duy Duc An Bui1, Guilherme Del Fiol2, John F Hurdle2

  • 1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; Division of Health and Biomedical Informatics, Northwestern University, Chicago, IL, USA.

Journal of Biomedical Informatics
|December 20, 2016
PubMed
Summary
This summary is machine-generated.

Automated text summarization systems using machine learning and natural language processing can improve data extraction for systematic reviews, reducing errors and increasing efficiency compared to manual methods.

Keywords:
Data collectionMachine learningReview literature as topicText classificationText summarization

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

Related Experiment Videos

Last Updated: Mar 10, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

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

Published on: September 20, 2018

16.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Systematic Review Methodology

Background:

  • Manual data extraction in systematic reviews is time-consuming, expensive, and prone to human error.
  • Developing efficient and accurate data extraction methods is crucial for systematic review development.

Purpose of the Study:

  • To develop a text summarization system to enhance productivity and reduce errors in systematic review data extraction.
  • To evaluate the effectiveness of machine learning and natural language processing for automatic summarization of scientific publications.

Main Methods:

  • A computer system using machine learning and natural language processing was developed to automatically generate summaries.
  • Summaries were evaluated at sentence and fragment levels for extracting clinical data elements (e.g., sample size, PICO values).
  • Computer-generated summaries were compared against human-written summaries (title and abstract).

Main Results:

  • Computer-generated summaries at the sentence level showed higher recall (91.2% vs. 83.8%) and precision (59% vs. 39%) than human summaries.
  • An ensemble approach at the fragment level achieved an 84.7% F-measure, outperforming individual methods.

Conclusions:

  • Computer-generated summaries offer a promising alternative for data extraction in systematic reviews.
  • Machine learning and natural language processing are key technologies for developing effective extractive summarization systems.