Search results for "computer.software_genre"

Drifting through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition

2016

International audience; Reading is one of the most popular leisure activities and it is routinely performed by most individuals even in old age. Successful reading enables older people to master and actively participate in everyday life and maintain functional independence. Yet, reading comprises a multitude of subprocesses and it is undoubtedly one of the most complex accomplishments of the human brain. Not surprisingly, findings of age-related effects on word recognition and reading have been partly contradictory and are often confined to only one of four central reading subprocesses, i.e., sublexical, orthographic, phonological and lexico-semantic processing. The aim of the present study…

The interpreter’s footing in Spanish-Italian medical interviews

2014

El artículo analiza unos fragmentos de un corpus de diez entrevistas médicas, grabadas entre abril y julio de 2009 en el Instituto Valenciano de Infertilidad de Barcelona, caracterizadas por la presencia de un médico de habla española, uno o dos pacientes italianos y una intérprete. Se examina cómo cambia la alineación verbal de esta última, dependiendo de las diferentes situaciones comunicativas que tiene que afrontar. Para lograr este objetivo, se hace hincapié en los estudios de Goffman sobre el footing (o pie) (1981: 325-326), a los de Wadensjö (1998: 91-92) y de Merlini y Favaron (2007: 116-117). Se demuestra que la intérprete no sólo traduce lo que dicen los interlocutores primarios, …

Atlas: analysis tools for low-depth and ancient samples

2017

AbstractSummaryPost-mortem damage (PMD) obstructs the proper analysis of ancient DNA samples and can currently only be addressed by removing or down-weighting potentially damaged data. Here we present ATLAS, a suite of methods to accurately genotype and estimate genetic diversity from ancient samples, while accounting for PMD. It works directly from raw BAM files and enables the building of complete and customized pipelines for the analysis of ancient and other low-depth samples in a very user-friendly way. Based on simulations we show that, in the presence of PMD, a dedicated pipeline of ATLAS calls genotypes more accurately than the state-of-the-art pipeline of GATK combined with mapDamag…

GPCALMA: An Italian mammographic database of digitized images for research

2006

In this work the implementation of a database of digitized mammograms is described. The digitized images were collected since 1999 by a community of physicists in collaboration with radiologists in several Italian hospitals, as a first step in order to develop and implement a Computer Aided Detection (CAD) system. 3369 mammograms were collected from 967 patients; they were classified according to the type and the morphology of the lesions, the type of the breast tissue and the type of pathologies. A dedicated Graphical User Interface was developed for mammography visualization and processing, in order to support the medical diagnosis directly on a high-resolution screen. The database has be…

Obstructive sleep apnea is an independent predictor for dyslipidemia: Data from the European Sleep Apnea Database (ESADA)

2017

Background and aim: Obstructive sleep apnea (OSA) and dyslipidemia are both independently well-recognized risk factors for cardiovascular disease. Previous data are inconclusive regarding the relationship between OSA and dyslipidemia. The aim of the present study was to investigate the association between OSA and dyslipidemia in ESADA (European Sleep Apnea Database). Methods: The cross-sectional analysis included 8592 patients (age 50.1±12.7 years, 69.1% male, BMI 30.8±6.6 kg/m2, mean AHI 25.7±25.9 n/h) from the ESADA. The independent relationship between measures of OSA (AHI, ODI, mean and lowest saturation) and lipid profile (total cholesterol [TC], HDL-cholesterol [HDL-C] (n=3289) and fa…

A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease

2003

Therapies to slow down the progression of Alzheimer’s disease are most effective when applied in its initial stages. Therefore it is important to develop methods to diagnose the disease as early as possible. It is also desirable to establish standards which can be used generally by physicians who may not be experts in diagnosis of the disease. One possible method to obtain an early diagnosis is the evaluation of the glucose metabolism of the brain. In this paper we present a prototype of an expert system that automatically diagnoses Alzheimer’s disease on the basis of positron emission tomography images displaying the metabolic activity in the brain.

A boosting approach for prostate cancer detection using multi-parametric MRI

2015

International audience; Prostate cancer has been reported as the second most frequently diagnosed men cancers in the world. In the last decades, new imaging techniques based on MRI have been developed in order to improve the diagnosis task of radiologists. In practise, diagnosis can be affected by multiple factors reducing the chance to detect potential lesions. Computer-aided detection and computer-aided diagnosis have been designed to answer to these needs and provide help to radiologists in their daily duties. In this study, we proposed an automatic method to detect prostate cancer from a per voxel manner using 3T multi-parametric Magnetic Resonance Imaging (MRI) and a gradient boosting …

On the Use of XML in Medical Imaging Web-Based Applications

2016

The rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the Extensible Markup Language (XML) language in web-based applications that aid in diagnosis or treatment of patients, considering how this proto…

Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis.

2020

Abstract Objective The majority of radiological reports are still written as free text and lack structure. Further evaluation of free-text reports is difficult to achieve without a great deal of manual effort, and is not possible in everyday clinical practice. This study aims to automatically capture clinical information and positive hit rates from narrative radiological reports of suspected urolithiasis using natural language processing (NLP). Methods Narrative reports of low dose computed tomography (CT) of the retroperitoneum from April 2016 to July 2018 (n = 1714) were analyzed using NLP. These free-text reports were automatically structured based on RadLex concepts. Manual feedback was…

2019

Background Health apps for the screening and diagnosis of mental disorders have emerged in recent years on various levels (eg, patients, practitioners, and public health system). However, the diagnostic quality of these apps has not been (sufficiently) tested so far. Objective The objective of this pilot study was to investigate the diagnostic quality of a health app for a broad spectrum of mental disorders and its dependency on expert knowledge. Methods Two psychotherapists, two psychology students, and two laypersons each read 20 case vignettes with a broad spectrum of mental disorders. They used a health app (Ada—Your Health Guide) to get a diagnosis by entering the symptoms. Interrater…