AWSum-Combining Classification with Knowledge Aquisition

Many classifiers achieve high levels of accuracy but have limited applicability in real world situations because they do not lead to a greater understanding or insight into the^way features influence the classification. In areas such as health informatics a classifier that clearly identifies the influences on classification can be used to direct research and formulate interventions. This research investigates the practical applications of Automated Weighted Sum, (AWSum), a classifier that provides accuracy comparable to other techniques whilst providing insight into the data. This is achieved by calculating a weight for each feature value that represents its influence on the class value. The merits of this approach in classification and insight are evaluated on a Cystic Fibrosis and Diabetes datasets with positive results.

Active learning methods for remote sensing image classification

In this paper, we propose two active learning algorithms for semiautomatic definition of training samples in remote sensing image classification. Based on predefined heuristics, the classifier ranks the unlabeled pixels and automatically chooses those that are considered the most valuable for its improvement. Once the pixels have been selected, the analyst labels them manually and the process is iterated. Starting with a small and nonoptimal training set, the model itself builds the optimal set of samples which minimizes the classification error. We have applied the proposed algorithms to a variety of remote sensing data, including very high resolution and hyperspectral images, using support vector machines. Experimental results confirm the consistency of the methods. The required number of training samples can be reduced to 10% using the methods proposed, reaching the same level of accuracy as larger data sets. A comparison with a state-of-the-art active learning method, margin sampling, is provided, highlighting advantages of the methods proposed. The effect of spatial resolution and separability of the classes on the quality of the selection of pixels is also discussed.

Minimal data requirements for a continuous monitoring of the quality of care using the DRG classification.

The DRG classification provides a useful tool for the evaluation of hospital care. Indicators such as readmissions and mortality rates adjusted for the hospital Casemix could be adopted in Switzerland at the price of minor additions to the hospital discharge record. The additional information required to build patients histories and to identify the deaths occurring after hospital discharge is detailed.

Intrinsically photosensitive retinal ganglion cells: classification, function and clinical implications.

PURPOSE OF REVIEW: The discovery of a new class of intrinsically photosensitive retinal ganglion cells (ipRGCs) revealed their superior role for various nonvisual biological functions, including the pupil light reflex, and circadian photoentrainment. RECENT FINDINGS: Recent works have identified and characterized several anatomically and functionally distinct ipRGC subtypes and have added strong new evidence for the accessory role of ipRGCs in the visual system in humans. SUMMARY: This review summarizes current concepts related to ipRGC morphology, central connections and behavioural functions and highlights recent studies having clinical relevance to ipRGCs. Clinical implications of the melanopsin system are widespread, particularly as related to chronobiology.

Department of Commerce, Iowa Medical Classification Center FY2007

These Facts sheets have been developed to provide a multitude of information about executive branch agencies/departments on a single sheet of paper. The Facts provides general information, contact information, workforce data, leave & benefits information, and affirmative action data. This is the most recent update of information for the fiscal year 2007.

Department of Commerce, Iowa Medical Classification Center FY2008

These Facts sheets have been developed to provide a multitude of information about executive branch agencies/departments on a single sheet of paper. The Facts provides general information, contact information, workforce data, leave & benefits information, and affirmative action data. This is the most recent update of information for the fiscal year 2007.

Une nouvelle Classification des néoptasies intraépithélates vulvaires [A new classification of vulvar intraepithelial neoplasia (VIN)]

Vulvar cancer is a rare disease and its screening is depending on the quality and the relevance of our clinical examination. Incidence of vulvar cancer and especially precancerous lesions, vulvar intraepithelial neoplasias (VIN), increased during these last years. The new terminology of vulvar intraepithelial neoplasia will help us to identify high risk groups which could develop a cancer: usual and differentiated VIN. An early diagnosis is essential to propose an adequate treatment. Management is a major point according to the rising incidence of these lesions in younger women. Until we can observe a benefit from the vaccination against human papillomavirus, we must increase the quality of screening by a careful examination of the vulva.

Batch effect confounding leads to strong bias in performance estimates obtained by cross-validation.

BACKGROUND: With the large amount of biological data that is currently publicly available, many investigators combine multiple data sets to increase the sample size and potentially also the power of their analyses. However, technical differences ("batch effects") as well as differences in sample composition between the data sets may significantly affect the ability to draw generalizable conclusions from such studies. FOCUS: The current study focuses on the construction of classifiers, and the use of cross-validation to estimate their performance. In particular, we investigate the impact of batch effects and differences in sample composition between batches on the accuracy of the classification performance estimate obtained via cross-validation. The focus on estimation bias is a main difference compared to previous studies, which have mostly focused on the predictive performance and how it relates to the presence of batch effects. DATA: We work on simulated data sets. To have realistic intensity distributions, we use real gene expression data as the basis for our simulation. Random samples from this expression matrix are selected and assigned to group 1 (e.g., 'control') or group 2 (e.g., 'treated'). We introduce batch effects and select some features to be differentially expressed between the two groups. We consider several scenarios for our study, most importantly different levels of confounding between groups and batch effects. METHODS: We focus on well-known classifiers: logistic regression, Support Vector Machines (SVM), k-nearest neighbors (kNN) and Random Forests (RF). Feature selection is performed with the Wilcoxon test or the lasso. Parameter tuning and feature selection, as well as the estimation of the prediction performance of each classifier, is performed within a nested cross-validation scheme. The estimated classification performance is then compared to what is obtained when applying the classifier to independent data.

Period-Luminosity-Colour distribution and classification of Galactic oxygen-rich LPVs I. Luminosity calibrations

The absolute K magnitudes and kinematic parameters of about 350 oxygen-rich Long-Period Variable stars are calibrated, by means of an up-to-date maximum-likelihood method, using HIPPARCOS parallaxes and proper motions together with radial velocities and, as additional data, periods and V-K colour indices. Four groups, differing by their kinematics and mean magnitudes, are found. For each of them, we also obtain the distributions of magnitude, period and de-reddened colour of the base population, as well as de-biased period-luminosity-colour relations and their two-dimensional projections. The SRa semiregulars do not seem to constitute a separate class of LPVs. The SRb appear to belong to two populations of different ages. In a PL diagram, they constitute two evolutionary sequences towards the Mira stage. The Miras of the disk appear to pulsate on a lower-order mode. The slopes of their de-biased PL and PC relations are found to be very different from the ones of the Oxygen Miras of the LMC. This suggests that a significant number of so-called Miras of the LMC are misclassified. This also suggests that the Miras of the LMC do not constitute a homogeneous group, but include a significant proportion of metal-deficient stars, suggesting a relatively smooth star formation history. As a consequence, one may not trivially transpose the LMC period-luminosity relation from one galaxy to the other.

A methodology for the classification of convective structures using meteorological radar: Application to heavy rainfall events on the Mediterranean coast of the Iberian Peninsula

During the period 1996-2000, forty-three heavy rainfall events have been detected in the Internal Basins of Catalonia (Northeastern of Spain). Most of these events caused floods and serious damage. This high number leads to the need for a methodology to classify them, on the basis of their surface rainfall distribution, their internal organization and their physical features. The aim of this paper is to show a methodology to analyze systematically the convective structures responsible of those heavy rainfall events on the basis of the information supplied by the meteorological radar. The proposed methodology is as follows. Firstly, the rainfall intensity and the surface rainfall pattern are analyzed on the basis of the raingauge data. Secondly, the convective structures at the lowest level are identified and characterized by using a 2-D algorithm, and the convective cells are identified by using a 3-D procedure that looks for the reflectivity cores in every radar volume. Thirdly, the convective cells (3-D) are associated with the 2-D structures (convective rainfall areas). This methodology has been applied to the 43 heavy rainfall events using the meteorological radar located near Barcelona and the SAIH automatic raingauge network.

Predictive ability of severe rainfall events over Catalonia for the year 2008

This paper analyses the predictive ability of quantitative precipitation forecasts (QPF) and the so-called "poor-man" rainfall probabilistic forecasts (RPF). With this aim, the full set of warnings issued by the Meteorological Service of Catalonia (SMC) for potentially-dangerous events due to severe precipitation has been analysed for the year 2008. For each of the 37 warnings, the QPFs obtained from the limited-area model MM5 have been verified against hourly precipitation data provided by the rain gauge network covering Catalonia (NE of Spain), managed by SMC. For a group of five selected case studies, a QPF comparison has been undertaken between the MM5 and COSMO-I7 limited-area models. Although MM5's predictive ability has been examined for these five cases by making use of satellite data, this paper only shows in detail the heavy precipitation event on the 9¿10 May 2008. Finally, the "poor-man" rainfall probabilistic forecasts (RPF) issued by SMC at regional scale have also been tested against hourly precipitation observations. Verification results show that for long events (>24 h) MM5 tends to overestimate total precipitation, whereas for short events (¿24 h) the model tends instead to underestimate precipitation. The analysis of the five case studies concludes that most of MM5's QPF errors are mainly triggered by very poor representation of some of its cloud microphysical species, particularly the cloud liquid water and, to a lesser degree, the water vapor. The models' performance comparison demonstrates that MM5 and COSMO-I7 are on the same level of QPF skill, at least for the intense-rainfall events dealt with in the five case studies, whilst the warnings based on RPF issued by SMC have proven fairly correct when tested against hourly observed precipitation for 6-h intervals and at a small region scale. Throughout this study, we have only dealt with (SMC-issued) warning episodes in order to analyse deterministic (MM5 and COSMO-I7) and probabilistic (SMC) rainfall forecasts; therefore we have not taken into account those episodes that might (or might not) have been missed by the official SMC warnings. Therefore, whenever we talk about "misses", it is always in relation to the deterministic LAMs' QPFs.

ITMIG consensus statement on the use of the WHO histological classification of thymoma and thymic carcinoma: refined definitions, histological criteria, and reporting.

INTRODUCTION: The 2004 version of the World Health Organization classification subdivides thymic epithelial tumors into A, AB, B1, B2, and B3 (and rare other) thymomas and thymic carcinomas (TC). Due to a morphological continuum between some thymoma subtypes and some morphological overlap between thymomas and TC, a variable proportion of cases may pose problems in classification, contributing to the poor interobserver reproducibility in some studies. METHODS: To overcome this problem, hematoxylin-eosin-stained and immunohistochemically processed sections of prototypic, "borderland," and "combined" thymomas and TC (n = 72) were studied by 18 pathologists at an international consensus slide workshop supported by the International Thymic Malignancy Interest Group. RESULTS: Consensus was achieved on refined criteria for decision making at the A/AB borderland, the distinction between B1, B2, and B3 thymomas and the separation of B3 thymomas from TCs. "Atypical type A thymoma" is tentatively proposed as a new type A thymoma variant. New reporting strategies for tumors with more than one histological pattern are proposed. CONCLUSION: These guidelines can set the stage for reproducibility studies and the design of a clinically meaningful grading system for thymic epithelial tumors.

Evaluation of the immune response to infection with metastatic and non-metastatic "Leishmania guyanensis" parasites

ABSTRACT : Les infections par le parasite Leishmania guyanensis se caractérisent par une dissémination depuis le site initial d'infection jusqu'aux tissus naso-pharyngés, responsable de la Leishmaniose à lésions secondaires muco-cutanées (LMC). Les lésions des patients atteints de LMC montrent une massive infiltration de cellules immunitaires, une réponse immunitaire élevée et la présence de parasites (bien qu'en très faible quantité). La LMC engendre une augmentation de l'expression de TNFa ainsi qu'un défaut dans le contrôle de la réponse immunitaire caractérisé par une absence de réponse à l'IL 10. La réponse immunitaire de l'hôte ainsi que la virulence du parasite sont deux facteurs reconnus pour le contrôle de l'infection. Le mécanisme de la pathogenèse de la LMC restent grandement incompris, surtout le mécanisme de dissémination de l'infection du site d'inoculation jusqu'aux sites secondaires d'infection (métastases) ainsi que les détails de la réponse de l'hôte contre le pathogène. Dans un modèle d'infection d' hamsters avec des parasites du Nouveau Monde, la classification des parasites Leishmania se fait en fonction de leur capacité à développer des métastases. Ce modéle d'infection a permis de caractériser différentes souches de parasites selon la classification de l'Organisation Mondiale de la Sante (OMS) tel que la souche de référence W>É-II/BR/78/M5313 qui est reconnue comme hautement métastatique alors que ces clones dérivés de M5313 montrent de grandes variations quand a leur capacité à créer des métastases. Les clones 13 et 21 sont métastatiques (M+) alors que les clones 3 et 17 sont nonmétastatiques (NI-). Les objectifs de cette thèse ont été d'étudier le rôle de la réponse immunitaire innée des macrophages après infection in vitro avec différents clones métastatiques et non-métastatiques du parasite L. guyanensis, ainsi que d'étudier la réponse immunitaire générée suite à une infection in vivo par les clones M+ et M- de L. guyanensis dans un modèle marin. L'analyse de la .réponse immunitaire des macrophages in vitro montrent qu'il y aune augmentation significative de leur statut d'activation après infection par des parasites M+ indiquée par la modulation des marqueurs d'activation de surface CD80, CD86 et CD40, ainsi que une augmentation significative de CXCL 10, CCLS, IL6 et TNFa au niveau transcription de l'ARNm et au niveau de la protéine. Cette phénomène d'activation a été observée chez les deux souches de souris C57BL/6 et BALB/c. L'utilisation d'un inhibiteur d'entrée des parasites (Cytochalsin D) ou d'un inhibiteur des fonctions endosomales (Chloroquine) diminue de manière significative la réponse des macrophages aux parasites M+. L'utilisation de macrophages déficients en TLR, MyD88, et TRIF a démontré que la réponse générée après infection par les parasites M+ était dépendante de la voie de signalisation de TRIF et TLR3. Lors d'infection in vivo par des parasites M5313, au moins 50% des souris BALB/c présentent un phénotype sensible caractérisé par des lésions non-nécrotiques qui ne guérissent pas, persistent plus de 13 semaines après infection et contiennent un nombre considérable de parasites. Ces souris développent une réponse immunitaire de type T helper 2 (Th2) avec un niveau élevé d'IL-4 et d'IL-10. Les autres souris ont un phénotype non-sensible, les souris développant peu ou pas de lésion, avec peu de parasites et une réponse immunitaire diminuée, caractérisée par un niveau faible d'IFNy, d'IL4 et d'IL10. De plus, les souris BALB/c infectées par un parasite L. guyanensis isolé à partir des lésions muco-cutanées d'un patient humain atteint de LMC ont démontrés un phénotype similaire aux souris infectées par la souche M5313 avec 50% des souris développant des lésions persistantes, alors qu'un parasite dérivé des lésions cutanées humains n'a montré qu'une faible sensibilité avec une lésion transitoire qui finit par guérir. Nous avons montré que la sensibilité de ces souris BALB/c dépend de l'IL-4 et de l'IL-10 car les souris IL-10-/sur fond génétique BALB/c ainsi que les souris BALB/c traitée avec de l'anti-IL4 étaient capables de contrôler l'infection par M5313. Les souris C57BL/6 sont résistantes à l'infection par le parasite M5313. Elles développent une lésion transitoire qui guérit 9 semaines après infection. Ces souris résistantes ont un très faible taux de parasites au site d'infection et développent une réponse immunitaire de type Thl avec un niveau élevé d'IFNr et peu d'IL4 et d'IL10. Les infections in vivo de souris déficientes en MyD88, TRIF, TLR3 ou TLR9 (sur fond génétique C57BL/6) ont indiqué que MyD88 et TLR9 étaient impliqués dans la résistance à l'infection par L. guyanensi, et que TRIF et TLR3 avaient un rôle important dans la sensibilité. Ce travail met en évidence le fait que la réponse immunitaire de l'hôte est modulée par le parasite selon leur caractérisation d'être soit M+ ou M-. Nous avons démontré également que plusieurs gènes et voies de signalisations étaient impliqués dans cette réponse favorisant le développement d'une LMC. ABSTRACT : Leishmania guyanensis parasites are able to disseminate from the initial site of cutaneous skin infection to the nasopharyngeal tissues resulting in destructive secondary lesions and the disease Mucocutaneous Leishmaniasis (MCL). The secondary lesions in patients have intense immune cell infiltration, elevated immune responses and the presence (albeit at low levels) of parasites. More specifically, MCL patients produce higher levels of TNFa and display impairment in their ability to control the immune response due to a defect in their ability to respond to IL10. Little is known about the pathogenesis of MCL, especially about the dissemination of the infection from the site of inoculation to secondary sites (metastasis) and the response of the host to the pathogen. The hamster model of L. guyanensis infection has previously characterized the WHO reference strain, L. guyanensis WHI/BR/78/M5313, as being highly metastatic. Clones of parasites derived from this reference strain show a differential ability to metastasize. This thesis studied the differential immune response generated by macrophages in vitro, or by mice in vivo, following infection with L. guyanensis parasites. A significant increase in the activation status of macrophages derived from C57BL/6 or BALB/c mice was observed after in vitro infection with L. guyanensis parasites when compared to non-metastatic parasites. This change in status was evidenced by the increased expression of surface activation markers, together with the chemokines, CXCL 10, CCLS, and cytokines, IL6 and TNFa. Furthermore, in vitro infection of macrophages isolated from mice deficient in either a specific Toll Like Receptor (TLR) or the adaptor molecules MyD88 or TRIF, indicated that the immune response generated following L. guyanensis metastatic parasite infection was reliant on the TRIF dependent TLR3 signalling pathway. In vivo footpad infection of BALB/c mice with the L. guyanensis M5313 parasites showed a reproducible susceptible phenotype, whereby at least 50% of infected mice developed non-healing, nonnecrosing lesions with high parasitemia that persisted over 13 weeks post infection. This phenotype was characterized by a Th2 type cytokine immune response with increased levels of IL4 and IL10 detected in the draining lymph nodes. IL 10 deficient mice on a BALB/c background, or BALB/c mice treated with anti-IL4 were able to control infection with L. guyanensis M5313 parasites, thereby proving that these cytokines were indeed implicated in the susceptibility to infection. Moreover, infection of BALB/c mice with patient isolated L. guyanensis parasites confirmed that MCL derived parasites were able to induce a susceptibility phenotype similar to that of L. guyanensis M5313. C57BL/6 mice, on the other hand, were highly resistant to infection with L. guyanensis M5313 parasites and produced transient footpad swelling that healed by week 9 post infection, together with low degrees of footpad parasitemia and a Thl polarized immune response. Infection of mice deficient in MyD88, TRIF, TLR3, and TLR9 (on a C57BL/6 background), indicated that MyD88 and TLR9 were involved in the resistance of these mice to infection, and that TRIF and TLR3 were involved in the susceptibility. This study has shown that the host response can be differentially modulated depending on the infecting parasite with several genes and pathways being identified that could be involved in promoting the development of MCL.