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Author:

Akhtar, Faheem (Akhtar, Faheem.) | Li, Jianqiang (Li, Jianqiang.) (Scholars:李建强) | Yan, Pei (Yan, Pei.) | Imran, Azhar (Imran, Azhar.) | Muhammad Shaikh, Gul (Muhammad Shaikh, Gul.) | Xu, Chun (Xu, Chun.)

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CPCI-S EI Scopus

Abstract:

Large for gestational (LGA) means the fetus having an abnormal birth weight. It adheres severe complications during and after the maternal period. Therefore, this research presents an ensemble classification scheme using Chinese National Pre-Pregnancy Examination Program dataset to classify a fetus as an LGA or non-LGA based on provided Chinese LGA classification guidelines. Moreover, the proposed scheme is comprised of data cleansing and ensemble classification schemes that have drastically improved the LGA classification process with improved performance results compared to present published studies. Therefore, the recommended scheme can be utilized by healthcare professionals to build an enhanced and reliable LGA classification system. © 2020 IEEE.

Keyword:

Application programs Classification (of information)

Author Community:

  • [ 1 ] [Akhtar, Faheem]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Akhtar, Faheem]Department of Computer Science, Sukkur Iba University, Sukkur; 65200, Pakistan
  • [ 3 ] [Li, Jianqiang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Yan, Pei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Imran, Azhar]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Muhammad Shaikh, Gul]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Xu, Chun]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

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Year: 2020

Page: 1455-1459

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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