Fall prediction using behavioural modelling from sensor data in smart homes

G Forbes, S Massie, S Craw - Artificial Intelligence Review, 2020 - Springer
The number of methods for identifying potential fall risk is growing as the rate of elderly
fallers continues to rise in the UK. Assessments for identifying risk of falling are usually …

Smart clothing: Connecting human with clouds and big data for sustainable health monitoring

M Chen, Y Ma, J Song, CF Lai, B Hu - Mobile Networks and Applications, 2016 - Springer
Traditional wearable devices have various shortcomings, such as uncomfortableness for
long-term wearing, and insufficient accuracy, etc. Thus, health monitoring through traditional …

Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain

M Madkour, D Benhaddou, C Tao - Computer methods and programs in …, 2016 - Elsevier
Background and objective We live our lives by the calendar and the clock, but time is also an
abstraction, even an illusion. The sense of time can be both domain-specific and complex …

SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment

D Riboni, C Bettini, G Civitarese, ZH Janjua… - Artificial intelligence in …, 2016 - Elsevier
Objective In an ageing world population more citizens are at risk of cognitive impairment,
with negative consequences on their ability of independent living, quality of life and …

A study on smart home use intention of elderly consumers based on technology acceptance models

C Zhou, Y Qian, J Kaner - Plos one, 2024 - journals.plos.org
Purpose Smart home devices have great potential to improve the quality of life and
independence of older people, positively impacting their health, safety, and comfort …

A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences

B Prenkaj, D Aragona, A Flaborea, F Galasso… - Artificial Intelligence in …, 2023 - Elsevier
Considering the increasing aging of the population, multi-device monitoring of the activities
of daily living (ADL) of older people becomes crucial to support independent living and early …

Monitoring elderly people at home with temporal case-based reasoning

E Lupiani, JM Juarez, J Palma, R Marin - Knowledge-Based Systems, 2017 - Elsevier
This paper presents a study of why and how Case-Based Reasoning (CBR) can be used in
the long term to help elderly people living alone in a Smart Home. The work focuses on the …

Big data as a driver for clinical decision support systems: a learning health systems perspective

A Dagliati, V Tibollo, L Sacchi, A Malovini… - Frontiers in Digital …, 2018 - frontiersin.org
Big data technologies are nowadays providing health care with powerful instruments to
gather and analyze large volumes of heterogeneous data collected for different purposes …

[HTML][HTML] Using visual analytics for presenting comparative information on new drugs

JB Lamy, H Berthelot, M Favre, A Ugon… - Journal of biomedical …, 2017 - Elsevier
Objective When a new drug is marketed, physicians must decide whether they will consider
it for their future practice. However, information about new drugs can be biased or hard to …

EU-wide monitoring of biological hazards along the food chain: achievements, challenges and EFSA vision for the future

F Boelaert, G Amore, Y Van der Stede… - Current Opinion in Food …, 2016 - Elsevier
Highlights•EFSA enables timely production of EU Zoonoses Summary Reports.•EFSA's DCF
is an efficient system for the collection of zoonoses monitoring data in EU.•The quality of …