<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-statistics-and-management-systems</journal-id>
      <journal-title-group>
        <journal-title> Journal of Statistics and Management Systems</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0014</issn>
      <issn publication-format="print">0972-0510</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JSMS-1252</article-id>
      <title-group>
        <article-title>Several implications for forecasting a brain attack utilizing mathematical techniques</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Pidurkar</surname>
            <given-names>Smita R.</given-names>
          </name>
          <aff>Department of Mathematics, G H Raisoni College of Engineering, Nagpur, Maharashtra, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Raut</surname>
            <given-names>Seema</given-names>
          </name>
          <aff>Department of Mathematics, G. H. Raisoni Institute of Engineering and Technology, Nagpur, Maharashtra, India</aff>
        </contrib>
      </contrib-group>
      <volume>27</volume>
      <issue>2</issue>
      <fpage>261</fpage>
      <lpage>271</lpage>
      <pub-date date-type="pub">
        <day>30</day>
        <month>03</month>
        <year>2024</year>
      </pub-date>
      <abstract>
        <p>The human brain is unquestionably the most complex organ in the body and is acknowledged as the body’s control station. The wellness of this control station is depends on several human related factors. The uncontrolled behavior of this factors may cause brain stroke. In this study, survey data from 24,400 brain stroke patients are considered, along with important possible confounders such as age, gender, hypertension, heart disease, sugar, BMI, and smoking. Initially the association with this parameters with stroke were tested. Regression analysis was then performed to produce the projected model based on the data and its accuracy was tested.</p>
      </abstract>
      <kwd-group>
        <kwd>Logistics regression</kwd>
        <kwd>True positive</kwd>
        <kwd>False positive</kwd>
        <kwd>Accuracy</kwd>
        <kwd>Precision</kwd>
        <kwd>Recall</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
