Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing

<div><p>Big data has revolutionized the world by providing tremendous opportunities for a variety of applications. It contains a gigantic amount of data, especially a plethora of data types that has been significantly useful in diverse research domains. In healthcare domain, the research...

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Main Author: Sulaiman Khan (12585349) (author)
Other Authors: Habib Ullah Khan (12024579) (author), Shah Nazir (14779162) (author)
Published: 2022
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author Sulaiman Khan (12585349)
author2 Habib Ullah Khan (12024579)
Shah Nazir (14779162)
author2_role author
author
author_facet Sulaiman Khan (12585349)
Habib Ullah Khan (12024579)
Shah Nazir (14779162)
author_role author
dc.creator.none.fl_str_mv Sulaiman Khan (12585349)
Habib Ullah Khan (12024579)
Shah Nazir (14779162)
dc.date.none.fl_str_mv 2022-12-26T03:00:00Z
dc.identifier.none.fl_str_mv 10.1038/s41598-022-26090-5
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Systematic_analysis_of_healthcare_big_data_analytics_for_efficient_care_and_disease_diagnosing/25434811
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Bioinformatics and computational biology
healthcare
big data analytic
effcient care
disease diagnosing
dc.title.none.fl_str_mv Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>Big data has revolutionized the world by providing tremendous opportunities for a variety of applications. It contains a gigantic amount of data, especially a plethora of data types that has been significantly useful in diverse research domains. In healthcare domain, the researchers use computational devices to extract enriched relevant information from this data and develop smart applications to solve real-life problems in a timely fashion. Electronic health (eHealth) and mobile health (mHealth) facilities alongwith the availability of new computational models have enabled the doctors and researchers to extract relevant information and visualize the healthcare big data in a new spectrum. Digital transformation of healthcare systems by using of information system, medical technology, handheld and smart wearable devices has posed many challenges to researchers and caretakers in the form of storage, minimizing treatment cost, and processing time (to extract enriched information, and minimize error rates to make optimum decisions). In this research work, the existing literature is analysed and assessed, to identify gaps that result in affecting the overall performance of the available healthcare applications. Also, it aims to suggest enhanced solutions to address these gaps. In this comprehensive systematic research work, the existing literature reported during 2011 to 2021, is thoroughly analysed for identifying the efforts made to facilitate the doctors and practitioners for diagnosing diseases using healthcare big data analytics. A set of rresearch questions are formulated to analyse the relevant articles for identifying the key features and optimum management solutions, and laterally use these analyses to achieve effective outcomes. The results of this systematic mapping conclude that despite of hard efforts made in the domains of healthcare big data analytics, the newer hybrid machine learning based systems and cloud computing-based models should be adapted to reduce treatment cost, simulation time and achieve improved quality of care. This systematic mapping will also result in enhancing the capabilities of doctors, practitioners, researchers, and policymakers to use this study as evidence for future research.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Scientific Reports<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-022-26090-5" target="_blank">https://dx.doi.org/10.1038/s41598-022-26090-5</a></p>
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identifier_str_mv 10.1038/s41598-022-26090-5
network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/25434811
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spelling Systematic analysis of healthcare big data analytics for efficient care and disease diagnosingSulaiman Khan (12585349)Habib Ullah Khan (12024579)Shah Nazir (14779162)Biological sciencesBioinformatics and computational biologyhealthcarebig data analyticeffcient caredisease diagnosing<div><p>Big data has revolutionized the world by providing tremendous opportunities for a variety of applications. It contains a gigantic amount of data, especially a plethora of data types that has been significantly useful in diverse research domains. In healthcare domain, the researchers use computational devices to extract enriched relevant information from this data and develop smart applications to solve real-life problems in a timely fashion. Electronic health (eHealth) and mobile health (mHealth) facilities alongwith the availability of new computational models have enabled the doctors and researchers to extract relevant information and visualize the healthcare big data in a new spectrum. Digital transformation of healthcare systems by using of information system, medical technology, handheld and smart wearable devices has posed many challenges to researchers and caretakers in the form of storage, minimizing treatment cost, and processing time (to extract enriched information, and minimize error rates to make optimum decisions). In this research work, the existing literature is analysed and assessed, to identify gaps that result in affecting the overall performance of the available healthcare applications. Also, it aims to suggest enhanced solutions to address these gaps. In this comprehensive systematic research work, the existing literature reported during 2011 to 2021, is thoroughly analysed for identifying the efforts made to facilitate the doctors and practitioners for diagnosing diseases using healthcare big data analytics. A set of rresearch questions are formulated to analyse the relevant articles for identifying the key features and optimum management solutions, and laterally use these analyses to achieve effective outcomes. The results of this systematic mapping conclude that despite of hard efforts made in the domains of healthcare big data analytics, the newer hybrid machine learning based systems and cloud computing-based models should be adapted to reduce treatment cost, simulation time and achieve improved quality of care. This systematic mapping will also result in enhancing the capabilities of doctors, practitioners, researchers, and policymakers to use this study as evidence for future research.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Scientific Reports<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-022-26090-5" target="_blank">https://dx.doi.org/10.1038/s41598-022-26090-5</a></p>2022-12-26T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1038/s41598-022-26090-5https://figshare.com/articles/journal_contribution/Systematic_analysis_of_healthcare_big_data_analytics_for_efficient_care_and_disease_diagnosing/25434811CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/254348112022-12-26T03:00:00Z
spellingShingle Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
Sulaiman Khan (12585349)
Biological sciences
Bioinformatics and computational biology
healthcare
big data analytic
effcient care
disease diagnosing
status_str publishedVersion
title Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
title_full Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
title_fullStr Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
title_full_unstemmed Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
title_short Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
title_sort Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
topic Biological sciences
Bioinformatics and computational biology
healthcare
big data analytic
effcient care
disease diagnosing