Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

Low intensity vs. self-guided internet-delivered psychotherapy for major depression: a multicenter, controlled, randomized study.

BACKGROUND Major depression will become the second most important cause of disability in 2020. Computerized cognitive-behaviour therapy could be an efficacious and cost-effective option for its treatment. No studies on cost-effectiveness of low intensity vs self-guided psychotherapy has been carried out. The aim of this study is to assess the efficacy of low intensity vs self-guided psychotherapy for major depression in the Spanish health system. METHODS The study is made up of 3 phases: 1.- Development of a computerized cognitive-behaviour therapy for depression tailored to Spanish health system. 2.- Multicenter controlled, randomized study: A sample (N=450 patients) with mild/moderate depression recruited in primary care. They should have internet availability at home, not receive any previous psychological treatment, and not suffer from any other severe somatic or psychological disorder. They will be allocated to one of 3 treatments: a) Low intensity Internet-delivered psychotherapy + improved treatment as usual (ITAU) by GP, b) Self-guided Internet-delivered psychotherapy + ITAU or c) ITAU. Patients will be diagnosed with MINI psychiatric interview. Main outcome variable will be Beck Depression Inventory. It will be also administered EuroQol 5D (quality of life) and Client Service Receipt Inventory (consume of health and social services). Patients will be assessed at baseline, 3 and 12 months. An intention to treat and a per protocol analysis will be performed. DISCUSSION The comparisons between low intensity and self-guided are infrequent, and also a comparative economic evaluation between them and compared with usual treatment in primary. The strength of the study is that it is a multicenter, randomized, controlled trial of low intensity and self-guided Internet-delivered psychotherapy for depression in primary care, being the treatment completely integrated in primary care setting. TRIAL REGISTRATION Clinical Trials NCT01611818.

HypatiaSalud. Institucional Repository for the Andalusian Public Health System, Spain

HypatiaSalud will be the freely accessible institutional repository for the Public Health System in Andalucía, Spain. Open access and new technologies have changed dramatically the environment in which research is being conducted and disseminated. Traditionally University has been the universal research provider, but at present time there are Government Organizations, as Public Health Systems, which are large-producers of research. Meanwhile most universities are running institutional repositories or have plans of setting up institutional repositories in the short-term, there are not many Government Organizations working on that direction. In this sense, HypatiaSalud represents an innovative initiative. Objectives: - Enhancing institutional efficiency, effectiveness and opportunities for knowledge exchange. -Expanding access and greater use of research findings to a much wider range of users increasing the visibility and reputation of Andalusian Public Health System. - Providing the foundation for effective gathering and long-term preservation of research output. Methodology. Phase I: Researching and learning from other institutional repositories. Phase II: Designing and planning the financial, organizational, legal and technical underlying issues. Phase III: Launching the service. Phase IV: Running the service. Outcomes. Bibliometrics: catalog of the research output of the Institution, in order to determine the conditions to include this scientific output in the Institutional Repository: direct deposit, deposit after a period of embargo, or closed access when publisher will not grant permission. Promote a mandate for the deposit of all peer-reviewed final drafts (postprints) for institutional record-keeping purposes. Access to that immediate postprint deposit in HypatiaSalud may be set immediately as ‘Open Access’ if copyright conditions allows; otherwise access can be set as ‘Closed Access’. International Standards application: HypatiaSalud will support OAI-PMH and DRIVER, to allow that central repositories could harvest its content or metadata. Development of human resources strategies in order to foster self-archiving through merit acknowledge and accreditation. Conclusions. It seems likely that setting up an Institutional Repository for the Public Health System in Andalucía would have substantial net benefits in the longer term for the Institution, despite the lag between the costs and realisation of benefits.

1 de Diciembre, Día Mundial de la lucha frente al SIDA 2013

Boletín semanal para profesionales sanitarios de la Secretaría General de Calidad, Innovación y Salud Pública de la Consejería de Igualdad, Salud y Políticas Sociales

Integración de la Biblioteca Virtual del Sistema Sanitario Público de Andalucía en la política científica de la Consejería de Salud y Bienestar Social

Capítulo incluido en parte III del Congreso: Indicadores cuantitativos y cualitativos para el análisis de la colaboración científica

Programa de promoción de la salud bucodental + propuesta didáctica : Aprende a sonreír

Publicado en la página web de la Consejería de Igualdad, Salud y Políticas Sociales: www.juntadeandalucia.es/salud (Consejería de Igualdad, Salud y Políticas Sociales / Ciudadanía / Salud Pública / .Esta publicación es una actualización de los contenidos de la "Propuesta didáctica. Promoción de la salud bucodental en el ámbito escolar. Programa Aprende a sonreír" (2003)