UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204338


Registration ID:
400200

Page Number

d314-d321

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Title

FETAL WEIGHT PREDICTION USING MACHINE LEARNING TECHNIQUES

Abstract

sonography test of physical parameters has existed mainly and is handed-down to evaluate prior birth weight i.e. before birth and baby oppression before prenatal to guide before birth cancer and decreases fetal dejection and death.. We present a robust methods utilizing a basic document file comprising intrapartum records. The twelve inches/30.48 centimeters measured spline function is used to fit the curves of various key characteristics that are derived from ultrasound reports. A number of plain and effective machine intelligence algorithms are trained, and their efficiency is judged accompanying real test dossier.

Key Words

variable identification, logistic, data cleaning, visualization, analysis, prediction

Cite This Article

"FETAL WEIGHT PREDICTION USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.d314-d321, April-2022, Available :http://www.jetir.org/papers/JETIR2204338.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FETAL WEIGHT PREDICTION USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppd314-d321, April-2022, Available at : http://www.jetir.org/papers/JETIR2204338.pdf

Publication Details

Published Paper ID: JETIR2204338
Registration ID: 400200
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: d314-d321
Country: bangalore, karnataka, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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