Search results for "Health Informatics"
showing 10 items of 481 documents
Can Brief, Daily Training Using a Mobile App Help Change Maladaptive Beliefs? Crossover Randomized Controlled Trial
2019
BackgroundObsessive-compulsive disorder (OCD) is a disabling condition with a wide variety of clinical presentations including contamination fears, fear of harm, and relationship-related obsessions. Cognitive behavioral models of OCD suggest that OC symptoms result from catastrophic misinterpretations of commonly occurring intrusive experiences and associated dysfunctional strategies used to manage them. OCD-related maladaptive beliefs including inflated responsibility, importance and control of thoughts, perfectionism, and intolerance for uncertainty increase the likelihood of such misinterpretations. ObjectiveConsidering accumulating evidence suggesting that mobile health (mHealth) apps b…
The WHAAM Application: a Tool to Support the Evidence-Based Practice in the Functional Behaviour Assessment
2018
BackgroundThe most recent computing technologies can promote the application of evidence-based practice (EBP) in the field of applied behaviour analysis (ABA).ObjectiveThe study describes how the use of technology can simplify the application of EBPs in ABA.MethodsThe Web Health Application for ADHD Monitoring (WHAAM) application demonstrates this in the following two case studies. We are monitoring dysfunctional behaviours, collecting behavioural data, performing systematic direct observations, creating both visual baseline and intervention charts and evaluating the planned interventions using the TAU-U statistical index.ResultsSignificant positive changes of children’s problem behaviours …
Integration of an in-home monitoring system into home care nurses' workflow: A case study.
2019
Abstract Background The healthcare system faces a major challenge in caring for an increasingly ageing population as this task requires more resources than are currently available. Adopting monitoring technologies could enable more efficient care practices and support ageing in place. Objectives To investigate how the use of an in-home motion monitoring system can be integrated into home care nurses’ workflows and to uncover the factors behind system adoption. Design A single case study adopting a qualitative approach. Setting A home care unit serving older adults living in independent living residences within an apartment complex. Method Multiple data collection methods were used including…
A spline-based non-linear diffeomorphism for multimodal prostate registration.
2012
This paper presents a novel method for non-rigid registration of transrectal ultrasound and magnetic resonance prostate images based on a non-linear regularized framework of point correspondences obtained from a statistical measure of shape-contexts. The segmented prostate shapes are represented by shape-contexts and the Bhattacharyya distance between the shape representations is used to find the point correspondences between the 2D fixed and moving images. The registration method involves parametric estimation of the non-linear diffeomorphism between the multimodal images and has its basis in solving a set of non-linear equations of thin-plate splines. The solution is obtained as the least…
Depression, Anxiety, and Lifestyle Among Essential Workers: A Web Survey From Brazil and Spain During the COVID-19 Pandemic
2020
Background Essential workers have been shown to present a higher prevalence of positive screenings for anxiety and depression during the COVID-19 pandemic. Individuals from countries with socioeconomic inequalities may be at increased risk for mental health disorders. Objective We aimed to assess the prevalence and predictors of depression, anxiety, and their comorbidity among essential workers in Brazil and Spain during the COVID-19 pandemic. Methods A web survey was conducted between April and May 2020 in both countries. The main outcome was a positive screening for depression only, anxiety only, or both. Lifestyle was measured using a lifestyle multidimensional scale adapted for the COV…
A happiness degree predictor using the conceptual data structure for deep learning architectures
2017
Abstract Background and Objective: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the prediction of happiness. The conventional methodologies are based on linear relationships, such as the commonly used Multivariate Linear Regression (MLR), which may suffer from the lack of representative capacity to the varied psychological features. Using Deep Neural Networks (DNN), we define a Happiness Degree Predictor (H-DP) based on the answers to five psychometric standardized questionnaires. Methods: A Data-Structure driven architecture for DNNs (D-SDNN) is proposed …
Design considerations of a randomized clinical trial on a cognitive behavioural intervention using communication and information technologies for man…
2013
Background Psychological treatments have been successful in treating chronic low back pain (CLBP). However, the effect sizes are still modest and there is room for improvement. A way to progress is by enhancing treatment adherence and self-management using information and communication technologies (ICTs). Therefore, the objective of this study was to design a trial investigating the short- and long-term efficacy of cognitive behavioural treatment (CBT) for CLBP using or not ICTs. A secondary objective of this trial will be to evaluate the influence of relevant variables on treatment response. Possible barriers in the implementation of CBT with and without ICT will also be investigated. Met…
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
2014
Contains fulltext : 137969.pdf (Publisher’s version ) (Open Access) Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation is useful for various tasks, e.g. to accurately localize prostate boundaries for radiotherapy or to initialize multi-modal registration algorithms. In the past, it has been difficult for research groups to evaluate prostate segmentation algorithms on multi-center, multi-vendor and multi-protocol data. Especially because we are dealing with MR images, image appearance, resolution and the presence of artifacts are affected by differences in scanners and/or …
The EU project "United4Health": Results and experiences from automatic health status assessment in a Norwegian telemedicine trial system.
2017
Introduction Patients with chronic obstructive pulmonary disease require help in daily life situations to increase their individual perception of security, especially under worsened medical conditions. Unnecessary hospital (re-)admissions and home visits by doctors or nurses shall be avoided. This study evaluates the results from a two-year telemedicine field trial for automatic health status assessment based on remote monitoring and analysis of a long time series of vital signs data from patients at home over periods of weeks or months. Methods After discharge from hospital treatment for acute exacerbations, 94 patients were recruited for follow-up by the trial system. The system supported…
Telemedicine to support coping resources in home-living patients diagnosed with chronic obstructive pulmonary disease: Patients’ experiences
2016
Introduction The way in which telemedicine contributes to promote coping and independence might be undervalued in the development of telemedicine solutions and the implementation of telemedicine interventions. This study explored how home-living patients diagnosed with chronic obstructive pulmonary disease (COPD) experienced follow-up using telemedicine, and the extent to which the implemented technology was able to support and improve the patients’ coping resources and independence. Methods A qualitative approach with individual semi-structured interviews was used. Ten patients diagnosed with COPD participated. The data were transcribed verbatim and a qualitative content analysis method wa…