Clustering using principal component analysis applied to autonomy–disability of elderly people

Combes, Catherine; Azema, Jean

doi:10.1016/j.dss.2012.10.016

Cited by 26 publications

(20 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, the features are ranked using the Clamping technique. Then, the features are selected based on its importance using (4). Before a feature is added to S, an MLP network is constructed using S and F i as input and if and only if g(S ∪ f i ) ≥ g(S), then update S and F using (1) and (2).…”

Section: Feature Combination (Fc) [6]mentioning

confidence: 99%

See 1 more Smart Citation

A practical multi-sensor activity recognition system for home-based care

Chernbumroong

Cang

2014

Decision Support Systems

View full text Add to dashboard Cite

To cope with the increasing number of ageing population, a type of care which can help prevent or postpone entry into institutional care is preferable. Activity recognition can be used for home-based care in order to help elderly people to remain at home as long as possible. This paper proposes a practical multi-sensor activity recognition system for home-based care utilizing on-body sensors. Seven types of sensors are investigated on their contributions toward activity classification. We collected a real data set through the experiments participated by a group of elderly people. Seven classification models are developed to explore contribution of each sensor.We conduct a comparison study of four feature selection techniques using the developed models and the collected data. The experimental results show our proposed system is superior to previous works achieving 97% accuracy.The study also demonstrates how the developed activity recognition model can be applied to promote a home-based care and enhance decision support system in health care.

show abstract

Section: Feature Combination (Fc) [6]mentioning

confidence: 99%

“…The influencing factors that lead to initiate adoption of healthcare information systems was studied in [3]. The investigation was conducted in [4] to identify the level of autonomy-disability of an elderly people living in a nursing home for forecasting, planning and management of healthcare and social services.…”

Section: Introductionmentioning

confidence: 99%

A practical multi-sensor activity recognition system for home-based care

Chernbumroong

Cang

2014

Decision Support Systems

View full text Add to dashboard Cite

show abstract

“…It is important to mention the Euclidean distance [17–20] and the Mahalanobis distance [21–26] as the most used, however, there are other metrics based on a probabilistic approach [27], for example, the Hellinger distance [28], the Kullback-Leibler divergence [29] and the Jensen-Shannon distance [30, 31]. All these metrics may be useful in metrological activities such as, for example, proficiency testing.…”

Section: Introductionmentioning

confidence: 99%

A scoring metric for multivariate data for reproducibility analysis using chemometric methods

Sheen

Rocha

Lippa

et al. 2017

Chemometrics and Intelligent Laboratory Systems

View full text Add to dashboard Cite

Process quality control and reproducibility in emerging measurement fields such as metabolomics is normally assured by interlaboratory comparison testing. As a part of this testing process, spectral features from a spectroscopic method such as nuclear magnetic resonance (NMR) spectroscopy are attributed to particular analytes within a mixture, and it is the metabolite concentrations that are returned for comparison between laboratories. However, data quality may also be assessed directly by using binned spectral data before the time-consuming identification and quantification. Use of the binned spectra has some advantages, including preserving information about trace constituents and enabling identification of process difficulties. In this paper, we demonstrate the use of binned NMR spectra to conduct a detailed interlaboratory comparison and composition analysis. Spectra of synthetic and biologically-obtained metabolite mixtures, taken from a previous interlaboratory study, are compared with cluster analysis using a variety of distance and entropy metrics. The individual measurements are then evaluated based on where they fall within their clusters, and a laboratory-level scoring metric is developed, which provides an assessment of each laboratory’s individual performance.

show abstract

“…These levels correspond to profiles based on the people's ability to perform activities of daily living like being able to wash, dress and move. To achieve this aim, an unsupervised learning approach is proposed (Combes and Azéma, 2013 By combining clustering with a machine learning process, we could be able to predict the development of physical autonomy loss or mental autonomy loss in elderly people over time. To reach this objective, we use machine learning approach based on grammar inference in order to infer a probabilistic automaton.…”

Section: Identification Of Residents' Profilesmentioning

confidence: 99%

“…The steps of the project consist in: 1. The specification of elderly people profiles in using unsupervised learning approach (Combes and Azéma, 2013), 2. The study of the development of these profiles over time in using a probabilistic graph of transitions between the clusters inferred by k-TSSI (k-Testable Languages in the Strict Sense Inference) algorithm.…”

Section: Introductionmentioning

confidence: 99%

Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People

Combes¹,

Azema²

2013

Proceedings of the 5th International Conference on Agents and Artificial Intelligence

View full text Add to dashboard Cite

Keywords:grammar inference, k-testable language in strict sense, probabilistic deterministic finite automata, time series, evolution of elderly people disability. Abstract:We investigate the contribution of unsupervised learning and regular grammatical inference to respectively identify profiles of elderly people and their development over time in order to evaluate care needs (human, financial and physical resources). The proposed approach is based on k-Testable Languages in the Strict Sense Inference algorithm in order to infer a probabilistic automaton from which a Markovian model which has a discrete (finite or countable) state-space has been deduced. In simulating the corresponding Markov chain model, it is possible to obtain information on population ageing. We have verified if our observed system conforms to a unique long term state vector, called the stationary distribution and the steady-state.

show abstract

Clustering using principal component analysis applied to autonomy–disability of elderly people

Cited by 26 publications

References 14 publications

A practical multi-sensor activity recognition system for home-based care

A practical multi-sensor activity recognition system for home-based care

A scoring metric for multivariate data for reproducibility analysis using chemometric methods

Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People

Contact Info

Product

Resources

About