Handling of derived imbalanced dataset using XGBoost for identification of pulmonary embolism—a non-cardiac cause of cardiac arrest.

Bibliographic Details
Published in:Medical & Biological Engineering & Computing Vol. 60; no. 2; pp. 551 - 559
Main Authors: Firdous, Naira, Bhardwaj, Sushil
Format: Journal Article
Published: Springer Nature Feb2022
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154739087&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 154739087
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Feb2022
      vid: 60
      iid: 2
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        154739087
        154634022
        10.1007/s11517-021-02455-2
        154739087
      ppf: 551
      ppct: 8
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Handling of derived imbalanced dataset using XGBoost for identification of pulmonary embolism—a non-cardiac cause of cardiac arrest.
      aug:
        au:
          Firdous, Naira
          Bhardwaj, Sushil
        affil: RIMT University, Mandi Gobindgarh, India
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N