<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="5.3.1" xmlns="http://www.crossref.org/schema/5.3.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schema/deposit/crossref5.3.1.xsd">
 <head>
  <doi_batch_id>aspg-25-2701-1792226075</doi_batch_id>
  <timestamp>20261017083435</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
 </head>
 <body>
  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Cognitive Human-Computer Interaction</full_title>
    <abbrev_title>JCHCI</abbrev_title>
    <issn media_type="print">2771-1471</issn>
    <issn media_type="electronic">2771-1463</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>8</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Palagati</given_name>
      <surname>Anusha</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of CSE, Guru Nanak Institute of Technology, Hyderabad, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Yanda</given_name>
      <surname>Sailaja</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of AIDS, Guru Nanak Institute of Technology, Hyderabad, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>A significant amount of sensor data and patient health data files are being created in the current era of smart phones and wearable technology. Big data analytics is crucial to resolving problems and obstacles in the healthcare industry. The healthcare industry generates enormous amounts of data that big data can handle. Every day, a variety of devices generate petabytes of data, which, when examined, can provide insightful and practical data-driven solutions for patient care. This paper provides an overview of the various healthcare applications of big data analytics, along with an analysis of the associated problems and potential tools and technologies for healthcare clouds. Big data has the power to transform the healthcare sector and enhance clinical trial monitoring quality and operational efficiency.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>01</first_page>
     <last_page>05</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2701</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/JCHCI.080101</doi>
     <resource>https://americaspg.com/journal/25/article/2701</resource>
     <collection property="text-mining">
      <item>
       <resource mime_type="application/pdf">https://americaspg.com/storage/articles/manuscripts/01KWT4B1F9611CDTH074FBMFEB.pdf</resource>
      </item>
     </collection>
    </doi_data>
   </journal_article>
  </journal>
 </body>
</doi_batch>
