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Review
. 2017 Nov 1;5(1):13.
doi: 10.1007/s13755-017-0030-0. eCollection 2017 Dec.

Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs

Thomas Marshall  1 , Tiffiany Champagne-Langabeer  2 , Darla Castelli  3 , Deanna Hoelscher  4
Affiliations
Review

Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs

Thomas Marshall et al. Health Inf Sci Syst. .

Abstract

Objective: To present research models based on artificial intelligence and discuss the concept of cognitive computing and eScience as disruptive factors in health and life science research methodologies.

Methods: The paper identifies big data as a catalyst to innovation and the development of artificial intelligence, presents a framework for computer-supported human problem solving and describes a transformation of research support models. This framework includes traditional computer support; federated cognition using machine learning and cognitive agents to augment human intelligence; and a semi-autonomous/autonomous cognitive model, based on deep machine learning, which supports eScience.

Results: The paper provides a forward view of the impact of artificial intelligence on our human-computer support and research methods in health and life science research.

Conclusions: By augmenting or amplifying human task performance with artificial intelligence, cognitive computing and eScience research models are discussed as novel and innovative systems for developing more effective adaptive obesity intervention programs.

Keywords: Artificial intelligence; Cognitive computing; Obesity intervention.

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Figures

Fig. 1
Fig. 1
Luconi, Malone, Scott-Morton IS framework. Adapted from expert systems: The next challenge for managers, Luconi et al. [11]
Fig. 2
Fig. 2
Internalized cognition model
Fig. 3
Fig. 3
Federated cognition
Fig. 4
Fig. 4
Semi-autonomous cognition model
Fig. 5
Fig. 5
Autonomous cognition model
Fig. 6
Fig. 6
Knowledge base development
See this image and copyright information in PMC

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