Big Data in Healthcare and Social Sciences: Bip4Cast as a CAD system

Victoria López, Diego Urgelés, Óscar Sánchez and Gabriel Valverde
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Victoria López: Complutense University of Madrid, Spain
Diego Urgelés: Clínica Nuestra Señora de la Paz, OH San Juan de Dios, Madrid, Spain
Óscar Sánchez: Complutense University de Madrid, Spain
Gabriel Valverde: Complutense University of Madrid, Spain

International Journal of Information Systems and Social Change (IJISSC), 2017, vol. 8, issue 3, 1-16

Abstract: Healthcare providers and payers are increasingly turning to Big Data and analytics, to help them understand their patients and the context of their illnesses in more detail. Industry leaders are exploring/using Big Data to reduce costs, increase efficiency and improve patient care. The next future is an innovative approach to improving patient access using lean methods and predictive analytics. Social sciences are very much related to healthcare and both areas develop in a parallel way. In this article, we introduce one example of application: Bip4cast (a bipolar disorder CAD system). This paper shows how Bip4cast deals with different data sources to enrich the knowledge and improve predictive analysis.

Date: 2017
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