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Use of big data for drug development and for public and personal health and care

  • Published:2016-11-21 Issue:1 Volume:41 Page:51-60
  • ISSN:0741-0395
  • Container-title:Genetic Epidemiology
  • language:en
  • Short-container-title:Genet. Epidemiol.

Author:

Leyens Lada1,Reumann Matthias12,Malats Nuria3,Brand Angela14

Affiliation:

1. Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT); Maastricht University; Maastricht the Netherlands

2. IBM Research - Zurich Laboratory; Rüschlikon Switzerland

3. Centro Nacional de Investigaciones Oncológicas (CNIO); Madrid Spain

4. Faculty of Health, Medicine and Life Sciences; Maastricht University; Maastricht the Netherlands

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Reference43 articles.

1. Big data analytics in healthcare;Belle;BioMed Research International,2015

2. Evolution of clinical research: A history before and beyond james lind;Bhatt;Perspective Clinical Research,2010

3. Biology must develop its own big-data systems;Boyle;Nature,2013

4. Twitter: Big data opportunities;Broniatowski;Science,2014

5. Big data in epidemiology: Too big to fail?;Chiolero;Epidemiology,2013

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2. Big data-driven public health policy making: Potential for the healthcare industry;Heliyon;2023-09

3. Building Cognitive Cities in Developing Countries: Ecuador Case Study;2023 Ninth International Conference on eDemocracy & eGovernment (ICEDEG);2023-04-03

4. The power of big data mining to improve the health care system in the United Arab Emirates;Journal of Big Data;2023-02-01

5. The impact of “Big Data” on beginning-of-life issues;Clinical Ethics At the Crossroads of Genetic and Reproductive Technologies;2023
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