Cover Image
QR Code

Natural language processing to facilitate breast cancer research and management.

The medical literature has been growing exponentially, and its size has become a barrier for physicians to locate and extract clinically useful information. As a promising solution, natural language processing (NLP), especially machine learning (ML)‐based NLP is a technology that potentially provide...

Full description

Published in:Breast Journal Vol. 26; no. 1; pp. 92 - 100
Main Authors: Hughes, Kevin S., Zhou, Jingan, Bao, Yujia, Singh, Preeti, Wang, Jin, Yin, Kanhua
Format: algorithm equations & formulas review tables/charts Journal Article
Published: Wiley-Blackwell Jan2020
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141356799&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 141356799
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        1075122X
        ET6
      jtl: Breast Journal
      issn: 1075122X
      maglogo: Y
    pubinfo:
      dt: Jan2020
      vid: 26
      iid: 1
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        141356799
        141356799
        141356799
        10.1111/tbj.13718
        141356799
      ppf: 92
      ppct: 8
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: C
          – @attributes:
              type: P
      tig:
        atl: Natural language processing to facilitate breast cancer research and management.
      aug:
        au:
          Hughes, Kevin S.
          Zhou, Jingan
          Bao, Yujia
          Singh, Preeti
          Wang, Jin
          Yin, Kanhua
        affil: Division of Surgical Oncology, Massachusetts General Hospital and Harvard Medical School, Boston MA
      sug:
        subj:
          Natural Language Processing
          Research, Medical
          Breast Neoplasms Therapy
          Machine Learning
          Algorithms
          Technology, Medical
          Electronic Health Records
      ab: The medical literature has been growing exponentially, and its size has become a barrier for physicians to locate and extract clinically useful information. As a promising solution, natural language processing (NLP), especially machine learning (ML)‐based NLP is a technology that potentially provides a promising solution. ML‐based NLP is based on training a computational algorithm with a large number of annotated examples to allow the computer to "learn" and "predict" the meaning of human language. Although NLP has been widely applied in industry and business, most physicians still are not aware of the huge potential of this technology in medicine, and the implementation of NLP in breast cancer research and management is fairly limited. With a real‐world successful project of identifying penetrance papers for breast and other cancer susceptibility genes, this review illustrates how to train and evaluate an NLP‐based medical abstract classifier, incorporate it into a semiautomatic meta‐analysis procedure, and validate the effectiveness of this procedure. Other implementations of NLP technology in breast cancer research, such as parsing pathology reports and mining electronic healthcare records, are also discussed. We hope this review will help breast cancer physicians and researchers to recognize, understand, and apply this technology to meet their own clinical or research needs.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N