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: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

5.0K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
5.0K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

270
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
270
Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K
Types of Reports I: Hands-off Report01:25

Types of Reports I: Hands-off Report

1.6K
A hand-off report, also known as a change-of-shift report, is a crucial nursing process that ensures the smooth transition of patient care responsibilities between nursing staff.
Following are the key components and categories of hand-off reports:
Purpose and Process:
1.6K
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

7.6K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.6K
F Distribution01:19

F Distribution

10.7K
The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
10.7K

You might also read

Related Articles

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

Sort by
Same author

CLEAR-AI: confounder-aware learning for equitable and accurate reasoning in AI for diagnosis.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Multimodal artificial intelligence models for radiology.

BJR artificial intelligence·2026
Same author

Nationwide Trends in PCI Outcomes for Older Acute Coronary Syndrome Patients with a History of CABG.

Current cardiology reviews·2026
Same author

Impact of heartfulness meditation on psychophysiological parameters among medical students.

Bioinformation·2026
Same author

Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models.

Journal of biomedical informatics·2026
Same author

Biomedical multimodal large language models: From model-centric development to clinically grounded evaluation and integration.

Journal of biomedical informatics·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
Same journal

Beyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients.

Journal of biomedical informatics·2026
Same journal

DeepEN: A deep reinforcement learning framework for personalized enteral nutrition in critical care.

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
08:17

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

11.2K

Automatic information extraction from unstructured mammography reports using distributed semantics.

Anupama Gupta1, Imon Banerjee2, Daniel L Rubin3

  • 1Department of Computer Science, Columbia University, New York City, NY, USA.

Journal of Biomedical Informatics
|January 14, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an unsupervised method for extracting information from radiology reports, achieving high accuracy without manual rules. This advance improves automated analysis of medical imaging findings.

Keywords:
Information extractionInformation framesReport annotationWord embedding

More Related Videos

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.9K
AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
06:03

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

862

Related Experiment Videos

Last Updated: Feb 15, 2026

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
08:17

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

11.2K
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.9K
AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
06:03

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

862

Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Radiology

Background:

  • Automated information extraction from radiology reports is challenging.
  • Current rule-based and dictionary-based methods require significant manual effort.
  • Limited success exists in automatically extracting relations and entities with high accuracy.

Purpose of the Study:

  • To develop an unsupervised information extraction system for radiology reports.
  • To extract relations and named entities without prior domain knowledge.
  • To generate structured information frames from free-text mammography reports.

Main Methods:

  • A hybrid approach combining dependency-based parse trees and distributed semantics.
  • Unsupervised learning for relation extraction.
  • Generation of structured information frames for findings/abnormalities.

Main Results:

  • Achieved a F1-score of 0.94 for information frame completeness.
  • Outperformed a state-of-the-art rule-based system.
  • Demonstrated high accuracy in unsupervised relation extraction.

Conclusions:

  • The proposed hybrid system effectively extracts information from radiology reports unsupervised.
  • This method surpasses traditional rule-based systems in accuracy and efficiency.
  • The system is scalable to other radiology domains and supports applications like decision support and information retrieval.