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Academic Journal

Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

  • Authors : Enshaeifar S; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.; Zoha A

Subjects: Activities of Daily Living* ; Machine Learning*; Dementia/Dementia/Dementia/*physiopathology

  • Source: PloS one [PLoS One] 2019 Jan 15; Vol. 14 (1), pp. e0209909. Date of Electronic Publication: 2019 Jan 15 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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