Data science in healthcare: Benefits, challenges and opportunities
作者： Ziawasch Abedjan , Nozha Boujemaa , Stuart Campbell , Patricia Casla , Supriyo Chatterjea
DOI: 10.1007/978-3-030-05249-2_1
关键词:
摘要: The advent of digital medical data has brought an exponential increase in information available for each patient, allowing novel knowledge generation methods to emerge. Tapping into this brings clinical research and practice closer together, as generated ordinary can be used towards rapid-learning healthcare systems, continuously improving personalizing healthcare. In context, the recent use Data Science technologies is providing mutual benefits both patients professionals, prevention treatment several kinds diseases. However, adoption usage solutions still require social capacity, higher acceptance. goal chapter provide overview needs, opportunities, recommendations challenges using (Big) sector. This contribution based on a whitepaper (http://www.bdva.eu/sites/default/files/Big%20Data%20Technologies%20in%20Healthcare.pdf) provided by Big Value Association (BDVA) (http://www.bdva.eu/), private counterpart EC implement BDV PPP (Big PPP) programme, which focuses impact that may have entire chain. © Springer Nature Switzerland AG 2019.
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John A. Quelch, Margaret L. Rodriguez, Philips Healthcare: Marketing the HealthSuite Digital Platform ,(2015)
Charlotte Herzeel, Pascal Costanza, Dries Decap, Jan Fostier, Joke Reumers, elPrep: High-Performance Preparation of Sequence Alignment/Map Files for Variant Calling. PLOS ONE. ,vol. 10, ,(2015) , 10.1371/JOURNAL.PONE.0132868
Dean T. Jamison, Investing in Health The International Bank for Reconstruction and Development / The World Bank. pp. 3- 34 ,(2006)
Reinhard Busse, Tackling Chronic Disease in Europe: Strategies, Interventions and Challenges ,(2010)
Alan R. Aronson, Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program american medical informatics association annual symposium. pp. 17- 21 ,(2001)
Emilie Baro, Samuel Degoul, Régis Beuscart, Emmanuel Chazard, Toward a Literature-Driven Definition of Big Data in Healthcare BioMed Research International. ,vol. 2015, pp. 639021- 639021 ,(2015) , 10.1155/2015/639021
Elizabeth Olmsted Teisberg, Michael E Porter, Redefining Health Care: Creating Value-based Competition on Results ,(2006)
M. May, LIFE SCIENCE TECHNOLOGIES: Big biological impacts from big data Science. ,vol. 344, pp. 1298- 1300 ,(2014) , 10.1126/SCIENCE.344.6189.1298
Christian Bizer, Bebo White, Tom Heath, Linked Data: Evolving the Web into a Global Data Space ,(2011)
Spyros N. Deftereos, Christos Andronis, Ellen J. Friedla, Aris Persidis, Andreas Persidis, Drug repurposing and adverse event prediction using high‐throughput literature analysis Wiley Interdisciplinary Reviews: Systems Biology and Medicine. ,vol. 3, pp. 323- 334 ,(2011) , 10.1002/WSBM.147