Designing Configurable and Adaptive Systems in eHealth

Balderas-Díaz, Sara; Benghazi, Kawtar; Prados, Germán; Miró, Elena

doi:10.1145/2838944.2838973

Cited by 2 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are several studies in the literature that explore machine learning-based approaches to the Lupus diagnosis [29], [30], but few studies are related to Malar Rash detection [4], [5] on images.…”

Section: Lupus Automatic Detectionmentioning

confidence: 99%

Automatic Detection of Lupus Butterfly Malar Rash Based on Transfer Learning

Souza¹,

Oliveira²,

Casa³

et al. 2020

Anais Do XVI Workshop De Visão Computacional (WVC 2020)

View full text Add to dashboard Cite

This work presents an approach to the automatic detection of Butterfly Malar Rash (BMR) in images. BMR is a Lupus symptom characterized by a reddish facial rash that appears symmetrically in the cheeks and the back of the nose. The proposed approach is based on Transfer Learning, a popular approach in Deep Learning that consists in the use of pre-trained models as the starting point for computer vision and natural language processing tasks. To perform the experiments, a database was created with images manually collected from the Instagram social network, searching for images with #butterflyrash. We evaluated the proposed approach with eight Convolutional Neural Networks (CNN) architecture. The experimental results are good results, with a precision of up to 0.957.

show abstract

Section: Lupus Automatic Detectionmentioning

confidence: 99%

Automatic Detection of Lupus Butterfly Malar Rash Based on Transfer Learning

Souza¹,

Oliveira²,

Casa³

et al. 2020

Anais Do XVI Workshop De Visão Computacional (WVC 2020)

View full text Add to dashboard Cite

show abstract

“…The instrument that was used for sleep monitoring was Environmental Monitoring System which has developed for this specific purpose. The design and development of this particular mHealth system derives from the proposal presented in a previous study [21]. This technological solution stems from a software architectural proposal intended to support the development of specific monitoring systems.…”

Section: Materials/instrumentationmentioning

confidence: 99%

“…This paper introduces a novel method that combines subjective (questionnaires) and objective information (actigraphy and environmental conditions) through an easy to use and non-intrusive mHealth system, which is designed for sleep monitoring [21]. Providing continuous measurement of the bedroom environment (usual environment) during sleep and making participants aware of the environmental influence on their sleep could optimise cognitive-behavioral therapy for insomnia.…”

Section: Introductionmentioning

confidence: 99%

Using Actigraphy and mHealth Systems for an Objective Analysis of Sleep Quality on Systemic Lupus Erythematosus Patients

Balderas-Díaz

Martínez²,

Guerrero-Contreras³

et al. 2017

Methods Inf Med

Self Cite

View full text Add to dashboard Cite

The results indicate the need to complement the subjective evaluation of sleep with objective measures. The use of actigraphy in combination with a new mHealth system provides a complete assessment especially relevant to chronic conditions as SLE. Both systems incorporate this objective information directly from objective measures in a non-intrusive way. Moreover, the measures of bedroom environmental variables provide useful and relevant clinical information to assess what is happening daily and not occasionally. This could lead to more customized interventions and adapt the treatment to each individual.

show abstract

Designing Configurable and Adaptive Systems in eHealth

Cited by 2 publications

References 7 publications

Automatic Detection of Lupus Butterfly Malar Rash Based on Transfer Learning

Automatic Detection of Lupus Butterfly Malar Rash Based on Transfer Learning

Using Actigraphy and mHealth Systems for an Objective Analysis of Sleep Quality on Systemic Lupus Erythematosus Patients

Contact Info

Product

Resources

About