Literature DB >> 25354949

Data-driven healthcare: from patterns to actions.

M Grossglauser1, H Saner2.   

Abstract

The era of big data opens up new opportunities in personalised medicine, preventive care, chronic disease management and in telemonitoring and managing of patients with implanted devices. The rich data accumulating within online services and internet companies provide a microscope to study human behaviour at scale, and to ask completely new questions about the interplay between behavioural patterns and health. In this paper, we shed light on a particular aspect of data-driven healthcare: autonomous decision-making. We first look at three examples where we can expect data-driven decisions to be taken autonomously by technology, with no or limited human intervention. We then discuss some of the technical and practical challenges that can be expected, and sketch the research agenda to address them. © Authors 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  Big data; analytics; data mining; preventive care

Mesh:

Year:  2014        PMID: 25354949     DOI: 10.1177/2047487314552755

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  7 in total

1.  Future Scenarios of the Data-Driven Healthcare Economy in South Korea.

Authors:  Ji-Young Choi; Hee-Jo Lee; Myoung-Jin Lee
Journal:  Healthcare (Basel)       Date:  2022-04-21

Review 2.  The antitumor effects of geraniol: Modulation of cancer hallmark pathways (Review).

Authors:  Minsoo Cho; Insuk So; Jung Nyeo Chun; Ju-Hong Jeon
Journal:  Int J Oncol       Date:  2016-03-09       Impact factor: 5.650

3.  Cognitive impairment categorized in community-dwelling older adults with and without dementia using in-home sensors that recognise activities of daily living.

Authors:  Prabitha Urwyler; Reto Stucki; Luca Rampa; René Müri; Urs P Mosimann; Tobias Nef
Journal:  Sci Rep       Date:  2017-02-08       Impact factor: 4.379

Review 4.  Conceptualizing type 2 diabetes and its management.

Authors:  Peter Tsasis; Jianhong Wu; Aijun An; Hannah J Wong; Xiandong An; Zhen Mei; Ted Hains
Journal:  J Multidiscip Healthc       Date:  2016-03-26

Review 5.  Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review.

Authors:  Aniek J Lentferink; Hilbrand Ke Oldenhuis; Martijn de Groot; Louis Polstra; Hugo Velthuijsen; Julia Ewc van Gemert-Pijnen
Journal:  J Med Internet Res       Date:  2017-08-01       Impact factor: 5.428

6.  Using Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approach.

Authors:  Yang Zhao; Qinneng Xu; Yupeng Chen; Kwok Leung Tsui
Journal:  BMC Infect Dis       Date:  2018-08-13       Impact factor: 3.090

Review 7.  Veterinary Big Data: When Data Goes to the Dogs.

Authors:  Ashley N Paynter; Matthew D Dunbar; Kate E Creevy; Audrey Ruple
Journal:  Animals (Basel)       Date:  2021-06-23       Impact factor: 2.752

  7 in total

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