Urban image classification with semisupervised multiscale cluster kernels

This paper presents a semisupervised support vector machine (SVM) that integrates the information of both labeled and unlabeled pixels efficiently. Method's performance is illustrated in the relevant problem of very high resolution image classification of urban areas. The SVM is trained with the linear combination of two kernels: a base kernel working only with labeled examples is deformed by a likelihood kernel encoding similarities between labeled and unlabeled examples. Results obtained on very high resolution (VHR) multispectral and hyperspectral images show the relevance of the method in the context of urban image classification. Also, its simplicity and the few parameters involved make the method versatile and workable by unexperienced users.

Automatic Mallampati Classification Using Active Appearance Models

Difficult tracheal intubation assessment is an important research topic in anesthesia as failed intubations are important causes of mortality in anesthetic practice. The modified Mallampati score is widely used, alone or in conjunction with other criteria, to predict the difficulty of intubation. This work presents an automatic method to assess the modified Mallampati score from an image of a patient with the mouth wide open. For this purpose we propose an active appearance models (AAM) based method and use linear support vector machines (SVM) to select a subset of relevant features obtained using the AAM. This feature selection step proves to be essential as it improves drastically the performance of classification, which is obtained using SVM with RBF kernel and majority voting. We test our method on images of 100 patients undergoing elective surgery and achieve 97.9% accuracy in the leave-one-out crossvalidation test and provide a key element to an automatic difficult intubation assessment system.

Patients who attend a private practice vs a university outpatient clinic: how do they differ?

Although interpersonal continuity is commonly assumed to be essential for care, some patients prefer to attend a university outpatient clinic where physicians change regularly and interpersonal continuity of care is not ensured. The aim of this exploratory study was to evaluate the differences between patients attending a university outpatient clinic and patients frequenting a private practice, explore their patterns of care-seeking and their understanding of continued care. We conducted a cross-sectional study of patients attending the university medical outpatient clinic (OC) in Lausanne, Switzerland and ten randomly selected private general practices (PP). Eligible patients were >30 years, Swiss nationals or long term residents, with one or more chronic conditions and attending the same practice for >3 years. They were asked to complete a questionnaire on sociodemographic data, use of medical resources and reasons for choosing and remaining at the same practice. Semi-structured interviews were conducted with a randomly selected subset of 26 patients to further explore their preferences. 329 patient questionnaires were completed, 219 by PP and 110 by OC patients. OC patients tended to be of lower socioeconomic status than PP patients. The main reason for choosing a PP were personal recommendation, while a higher percentage of patients chose the OC because they could obtain a first appointment quickly. A higher percentage of PP patients accorded importance to physician communication skills and trust, whereas a higher percentage of OC patients favoured investigation facilities. Qualitative data suggested that although OC and PP patients reported different reasons for consulting, their expectations on the medical and relationship level were similar. Our study suggests that the two groups of patients belong to different social backgrounds, have different patterns of care-seeking and attach importance to different aspects of care continuity. However, patients' expectations and perceptions of the physician-patient relationship are similar.

Attitudes Toward Organizational Change among Public Middle Managers

Positive attitudes toward change (PATC) are an important current issue in public organizations facing profound financial and managerial reforms. This study aims to identify social and organizational antecedents of PATC. The investigated population is composed of middle managers working in Swiss public hospitals (N = 720), which are currently being confronted by major reforms. Partial mediation effects of organizational commitment (OC) in the relationships between independent variables and PATC are also controlled. The findings show that perceived social support (work relationships with colleagues and supervisors) as well as perceived organizational support (employee voice and participation, information and communication, work-life balance) are positively and significantly related to PATC. Stress perception is shown to have a negative impact on PATC. This article provides valuable contributions with respect to antecedents of attitudes toward change in a population of public middle managers.