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 Videos

Mining free-text medical records.

D T Heinze1, M L Morsch, J Holbrook

  • 1A-Life Medical, Inc., San Diego, CA, USA.

Proceedings. AMIA Symposium
|February 5, 2002
PubMed
Summary

This study shows that Natural Language Processing (NLP) effectively mines clinical records for moderate information depth across various medical fields. Current NLP technology is suitable for large-scale commercial text mining in healthcare.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Natural killer cells have an activated profile in early Parkinson's disease.

Journal of neuroimmunology·2023
Same author

Mutations in LOXHD1 gene can cause auditory neuropathy spectrum disorder.

Otolaryngology case reports·2022
Same author

Efficacy and safety of pharmacotherapy for Alzheimer's disease and for behavioural and psychological symptoms of dementia in older patients with moderate and severe functional impairments: a systematic review of controlled trials.

Alzheimer's research & therapy·2021
Same author

Elevated incidence of fractures in women with invasive breast cancer.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2015
Same author

Identification of regions of the P2X(7) receptor that contribute to human and rat species differences in antagonist effects.

British journal of pharmacology·2008
Same author

Bioinformatics and type II G-protein-coupled receptors.

Biochemical Society transactions·2002

Area of Science:

  • Computational linguistics
  • Medical informatics
  • Data science

Background:

  • Text mining in healthcare presents unique challenges.
  • Clinical record analysis requires sophisticated data extraction techniques.
  • Evaluating Natural Language Processing (NLP) for real-world medical applications is crucial.

Purpose of the Study:

  • To assess the efficacy of NLP in mining dictated clinical records.
  • To identify key parameters for successful text mining projects in medicine.
  • To report on lessons learned from a large-scale commercial NLP implementation.

Main Methods:

  • Utilized Natural Language Processing (NLP) for text mining.
  • Focused on transcriptions of dictated clinical records from diverse medical specialties.
  • Analyzed project outcomes based on market demands, data volume/quality, process requirements, and quality assurance.

Main Results:

  • Current NLP capabilities are adequate for extracting moderately deep information.
  • Successful application across a variety of medical specialties was demonstrated.
  • Large-scale commercial text mining of clinical data is feasible with existing NLP.

Conclusions:

  • The state-of-the-art in NLP is suitable for mining clinical text.
  • NLP can effectively handle diverse medical domains and specialties.
  • Commercial text mining projects in healthcare benefit from careful consideration of project parameters.

Related Experiment Videos