Transforming big data into computational models for personalized medicine and health care

Health care systems generate a huge volume of different types of data. Due to the complexity and challenges inherent in studying medical information, it is not yet possible to create a comprehensive model capable of considering all the aspects of health care systems. There are different points of vi...

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Detalles Bibliográficos
Autores principales: Reza Soroushmehr, S. M., Najarian, Kayvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Les Laboratoires Servier 2016
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067150/
https://www.ncbi.nlm.nih.gov/pubmed/27757067
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author Reza Soroushmehr, S. M.
Najarian, Kayvan
author_facet Reza Soroushmehr, S. M.
Najarian, Kayvan
author_sort Reza Soroushmehr, S. M.
collection PubMed
description Health care systems generate a huge volume of different types of data. Due to the complexity and challenges inherent in studying medical information, it is not yet possible to create a comprehensive model capable of considering all the aspects of health care systems. There are different points of view regarding what the most efficient approaches toward utilization of this data would be. In this paper, we describe the potential role of big data approaches in improving health care systems and review the most common challenges facing the utilization of health care big data.
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spelling pubmed-50671502016-10-18 Transforming big data into computational models for personalized medicine and health care Reza Soroushmehr, S. M. Najarian, Kayvan Dialogues Clin Neurosci Brief Report Health care systems generate a huge volume of different types of data. Due to the complexity and challenges inherent in studying medical information, it is not yet possible to create a comprehensive model capable of considering all the aspects of health care systems. There are different points of view regarding what the most efficient approaches toward utilization of this data would be. In this paper, we describe the potential role of big data approaches in improving health care systems and review the most common challenges facing the utilization of health care big data. Les Laboratoires Servier 2016-09 /pmc/articles/PMC5067150/ /pubmed/27757067 Text en Copyright: © 2016 Institut la Conference Hippocrate - Servier Research Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Report
Reza Soroushmehr, S. M.
Najarian, Kayvan
Transforming big data into computational models for personalized medicine and health care
title Transforming big data into computational models for personalized medicine and health care
title_full Transforming big data into computational models for personalized medicine and health care
title_fullStr Transforming big data into computational models for personalized medicine and health care
title_full_unstemmed Transforming big data into computational models for personalized medicine and health care
title_short Transforming big data into computational models for personalized medicine and health care
title_sort transforming big data into computational models for personalized medicine and health care
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067150/
https://www.ncbi.nlm.nih.gov/pubmed/27757067
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AT najariankayvan transformingbigdataintocomputationalmodelsforpersonalizedmedicineandhealthcare

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