Search results for "INFORMATICS"
showing 10 items of 2542 documents
Role of physical activity in ameliorating neuropsychiatric symptoms in Alzheimer disease: A narrative review
2019
Objective: Neuropsychiatric symptoms (NPs) affect almost all patients with Alzheimer disease (AD). Because of the complications associated with the pharmacological treatment, nonpharmacological treatment (such as physical activity) can be considered as an additional complementary treatment option for NPs. The aim of this review is to evaluate the impact of physical activity on NPs in patients with AD. Methods: We searched Pubmed and Google Scholar for potential eligible articles until March 1, 2018. Results: Although there are contradictory results showing the impact of physical exercise on NPs, most of them reported that it had a significant effect on depression and sleep disturbances in p…
Interval Length Analysis in Multi Layer Model
2009
In this paper we present an hypothesis test of randomness based on the probability density function of the symmetrized Kulback-Leibler distance estimated, via a Monte Carlo simulation, by the distributions of the interval lengths detected using the Multi-Layer Model (MLM). The $MLM$ is based on the generation of several sub-samples of an input signal; in particular a set of optimal cut-set thresholds are applied to the data to detect signal properties. In this sense MLM is a general pattern detection method and it can be considered a preprocessing tool for pattern discovery. At the present the test has been evaluated on simulated signals which respect a particular tiled microarray approach …
Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR
2009
Abstract Background Considering the broad variation in the expression of housekeeping genes among tissues and experimental situations, studies using quantitative RT-PCR require strict definition of adequate endogenous controls. For glioblastoma, the most common type of tumor in the central nervous system, there was no previous report regarding this issue. Results Here we show that amongst seven frequently used housekeeping genes TBP and HPRT1 are adequate references for glioblastoma gene expression analysis. Evaluation of the expression levels of 12 target genes utilizing different endogenous controls revealed that the normalization method applied might introduce errors in the estimation of…
User evaluation of a therapist-guided internet-delivered treatment program for anxiety disorders: A qualitative study
2021
Therapist-guided internet-based cognitive behaviour therapy (ICBT) has been proposed as a potential means to increase individuals' access to quality mental health care and effective treatment. Guided ICBT aims to increase a patient's knowledge and competence to better cope with their disorder. Despite the growing evidence supporting the effects of guided ICBT, there is remarkably little research on the different factors that are important for patients to achieve effects from using such digital treatment interventions. Thus, the aim of this study was to conduct a user evaluation of a therapist-guided ICBT program using the updated DeLone and McLean (D&M) model for measuring information syste…
Cultural adaptation of the Smiling is Fun program for the treatment of depression in the Ecuadorian public health care system: A study protocol for a…
2021
Background Depression is one of the world's major health problems. Due to its high prevalence, it constitutes the first cause of disability among the Americas, where only a very low percentage of the population receives the adequate evidence-based psychological treatment. Internet-Based Interventions (IBIs) are a great alternative to reduce the treatment gap for mental disorders. Although there are several studies in low-and middle-income countries proving IBIs' feasibility and acceptability, there is still little evidence of the effectiveness in diverse social and cultural contexts such as Latin America. Methods Two studies will be described: Study 1 is focused on the cultural adaptation o…
A novel framework for MR image segmentation and quantification by using MedGA
2019
BACKGROUND AND OBJECTIVES: Image segmentation represents one of the most challenging issues in medical image analysis to distinguish among different adjacent tissues in a body part. In this context, appropriate image pre-processing tools can improve the result accuracy achieved by computer-assisted segmentation methods. Taking into consideration images with a bimodal intensity distribution, image binarization can be used to classify the input pictorial data into two classes, given a threshold intensity value. Unfortunately, adaptive thresholding techniques for two-class segmentation work properly only for images characterized by bimodal histograms. We aim at overcoming these limitations and…
Dataset to assess the shadow effect of an outdoor microalgae culture
2019
[EN] This data in brief (DIB) article is related to a Research article [1]. Microalgae biomass absorb the light photons that are supplied to the culture, reducing the light availability in the inner parts of the photobioreactors. This is known as self-shading or shadow effect. This effect has been widely studied in lab conditions, but information about self-shading in outdoor photobioreactors is scarce. How this shadow effect affects the light availability in an outdoor photobioreactor was evaluated. In addition, advantages and disadvantages of different artificial light sources which can overcome light limitation are described.
Chaînage de bases de données anonymisées pour les études épidémiologiques multicentriques nationales et internationales : proposition d'un algorithme…
2009
Background: Compiling individual records coming from different sources is very important for multicenter epidemiological studies; however, European directives and other national legislation concerning nominal data processing must be respected. These legal aspects can be satisfied by implementing mechanisms that allow anonymization of patient data (such as hashing techniques). Moreover, for security reasons, official recommendations suggest using different cryptographic keys in combination with a cryptographic hash function for each study. Unfortunately, this type of anonymization procedure is in contradiction with common requirements in public health and biomedical research because it becom…
Adaptative Image Flow in Collaborative Medical Telediagnosis Environments
2011
International audience; Telemedicine, the application of telecommunication in the medicine field, has been developed to meet major problems encountered in connecting doctors with patients and other medical staff. Having a robust and efficient telemedical system has always been a challenge. The system needs to make the members in different locations capable of sharing medical data efficiently and without errors. In this work, we present a telemedical system that overcomes these challenges.We deploy a collaborative system and adapt data to store, visualize, modify and transfer fluorescence images efficiently and robustly at the same time. We also make the system adaptive to communicate across…
Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort
2022
Background: The progress of digital transformation in clinical practice opens the door to transforming the current clinical line for liver disease diagnosis from a late-stage diagnosis approach to an early-stage based one. Early diagnosis of liver fibrosis can prevent the progression of the disease and decrease liver-related morbidity and mortality. We developed here a machine learning (ML) algorithm containing standard parameters that can identify liver fibrosis in the general US population.Materials and methods: Starting from a public database (National Health and Nutrition Examination Survey, NHANES), representative of the American population with 7265 eligible subjects (control populati…