Browsing by Subject "Classification"

Now showing 1 - 4 of 4
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    ARIA 2016: Care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle
    (2016) Bousquet, J; Hellings, P W; Agache, I; Bedbrook, A; Bachert, C; Bergmann, K C; Bewick, M; Bindslev-Jensen, C; Bosnic-Anticevitch, S; Bucca, C; Caimmi, D P; Camargos, P A M; Canonica, G W; Casale, T; Chavannes, N H; Cruz, A A; De Carlo, G; Dahl, R; Demoly, P; Devillier, P; Fonseca, J; Fokkens, W J; Guldemond, N A; Haahtela, T; Illario, M; Just, J; Keil, T; Klimek, L; Kuna, P; Larenas-Linnemann, D; Morais-Almeida, M; Mullol, J
    Abstract The Allergic Rhinitis and its Impact on Asthma (ARIA) initiative commenced during a World Health Organization workshop in 1999. The initial goals were (1) to propose a new allergic rhinitis classification, (2) to promote the concept of multi-morbidity in asthma and rhinitis and (3) to develop guidelines with all stakeholders that could be used globally for all countries and populations. ARIA—disseminated and implemented in over 70 countries globally—is now focusing on the implementation of emerging technologies for individualized and predictive medicine. MASK [MACVIA (Contre les Maladies Chroniques pour un Vieillissement Actif)-ARIA Sentinel NetworK] uses mobile technology to develop care pathways for the management of rhinitis and asthma by a multi-disciplinary group and by patients themselves. An app (Android and iOS) is available in 20 countries and 15 languages. It uses a visual analogue scale to assess symptom control and work productivity as well as a clinical decision support system. It is associated with an inter-operable tablet for physicians and other health care professionals. The scaling up strategy uses the recommendations of the European Innovation Partnership on Active and Healthy Ageing. The aim of the novel ARIA approach is to provide an active and healthy life to rhinitis sufferers, whatever their age, sex or socio-economic status, in order to reduce health and social inequalities incurred by the disease.
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    Detecting, Classifying and Locating Informal Settlements in Megacities such as Cape Town Using Sentinel-1 data
    (2026) Mgaga, Mfanafuthi; Paine, Stephen; Inggs, Michael
    The use of remote sensing is a method for generating land cover maps. This research utilizes radar remote sensing, specifically the Sentinel-1 sensor. A major advantage of radar remote sensing is its ability to penetrate clouds and vegetation, enabling data collection in all weather conditions. It also provides valuable information on surface roughness and moisture content, improving the accuracy and detail of land cover maps. The sensor was chosen for its ability to acquire data in any weather conditions, as well as during both day and night. Images were downloaded and processed in SNAP software. The objective of this study was to detect, classify, and map land use and cover, with a focus on informal settlements, using radar remote sensing and GIS techniques. The research had two main objectives: firstly, is to classify land use and land cover using supervised classification, and secondly to conduct an accuracy assessment using QGIS with relevant plugins. The methodology is outlined in Chapter 3, and implementation is detailed in Chapter 4. Results are discussed in Chapter 5, and the conclusion is presented in Chapter 6. Although there are multiple algorithms for supervised classification, random forest was chosen due to its ability to reduce overfitting in decision trees, improve accuracy, and handle both regression and classification problems. It works well with continuous and categorical values and automates missing data. Classified land cover categories included agricultural land, grassland, bare soil, forested areas, formal settlements, informal settlements, industrial areas and water bodies. While SNAP lacks built-in functionality for accuracy assessment, it can provide classification accuracy based on the classifier's threshold and replication of classes from training data. The overall classification accuracy was found to be 72.83% with a kappa coefficient of 0.65 when considering no-data pixels. Excluding no-data pixels improves accuracy to 83.24% with a kappa coefficient of 0.78. Informal settlements, the main class of interest, achieved a consumer accuracy of 91.8% and a producer accuracy of 90.7% Based on the results in Chapter 5, the research met its objectives. The results are valuable for city planners and decision-makers, particularly for rapid response and rescue during natural disasters like floods. It also aids in planning services for informal communities that may not otherwise receive attention due to their exclusion from city or municipal maps.
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    Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies
    (2020-01-27) Stein, Dan J; Szatmari, Peter; Gaebel, Wolfgang; Berk, Michael; Vieta, Eduard; Maj, Mario; de Vries, Ymkje A; Roest, Annelieke M; de Jonge, Peter; Maercker, Andreas; Brewin, Chris R; Pike, Kathleen M; Grilo, Carlos M; Fineberg, Naomi A; Briken, Peer; Cohen-Kettenis, Peggy T; Reed, Geoffrey M
    Abstract An update of the chapter on Mental, Behavioral and Neurodevelopmental Disorders in the International Classification of Diseases and Related Health Problems (ICD) is of great interest around the world. The recent approval of the 11th Revision of the ICD (ICD-11) by the World Health Organization (WHO) raises broad questions about the status of nosology of mental disorders as a whole as well as more focused questions regarding changes to the diagnostic guidelines for specific conditions and the implications of these changes for practice and research. This Forum brings together a broad range of experts to reflect on key changes and controversies in the ICD-11 classification of mental disorders. Taken together, there is consensus that the WHO’s focus on global applicability and clinical utility in developing the diagnostic guidelines for this chapter will maximize the likelihood that it will be adopted by mental health professionals and administrators. This focus is also expected to enhance the application of the guidelines in non-specialist settings and their usefulness for scaling up evidence-based interventions. The new mental disorders classification in ICD-11 and its accompanying diagnostic guidelines therefore represent an important, albeit iterative, advance for the field.
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    The place of cataloguing and classification in the curricula of South African universities
    (1980) Spruyt, M L; Kesting, J G
    The aim of this study is to determine the place of cataloguing and classification in the library and information science curricula of South African universities today, and to determine whether, in compiling the syllabus comprising bibliographic description and subject analysis, new developments and changes are being taken into consideration. With this in mind, attention has been given to the following: (a) Developments in general have been reconstructed by means of a review of the history of cataloguing and classification, from ancient to present times; (b) a review of the comprehensive development of education for librarianship overseas and in South Africa; and (c) an investigation of the present position of bibliographic description and subject analysis in the curricula of library and information science of South African universities.