A5071595948- Geographic Information Systems Studies
- Data Management and Algorithms
- Soil and Land Suitability Analysis
- Urban Transport and Accessibility
- Land Use and Ecosystem Services
- Data-Driven Disease Surveillance
- Semantic Web and Ontologies
- Multi-Criteria Decision Making
- Cutaneous Melanoma Detection and Management
- Electronic Health Records Systems
- Public Health Policies and Education
- AI in cancer detection
- Nonmelanoma Skin Cancer Studies
- COVID-19 epidemiological studies
- Biomedical Text Mining and Ontologies
- Traffic and Road Safety
- Human Mobility and Location-Based Analysis
- Climate Change and Health Impacts
- 3D Modeling in Geospatial Applications
- Pharmacovigilance and Adverse Drug Reactions
- Chronic Disease Management Strategies
- Usability and User Interface Design
- Injury Epidemiology and Prevention
- Species Distribution and Climate Change
- Business Process Modeling and Analysis
Medical University of Vienna
2016-2025
Austrian Agency for Health and Food Safety
2025
Toronto Metropolitan University
2011-2023
Philipps University of Marburg
2023
Jawaharlal Nehru Technological University, Hyderabad
2023
International Institute of Information Technology, Hyderabad
2023
Dean College
2023
Universidade de Brasília
2023
Eötvös Loránd University
2023
Leibniz University Hannover
2021-2023
Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, most common types skin cancer are nonpigmented and nonmelanocytic, more difficult to diagnose.To compare a CNN-based classifier with that physicians different levels experience.A classification model was trained on 7895 dermoscopic 5829 close-up images lesions excised at primary clinic between January 1, 2008, July 13, 2017, for combined evaluation both imaging...
We investigated whether human preferences hold the potential to improve diagnostic artificial intelligence (AI)-based decision support using skin cancer diagnosis as a use case. utilized nonuniform rewards and penalties based on expert-generated tables, balancing benefits harms of various errors, which were applied reinforcement learning. Compared with supervised learning, learning model improved sensitivity for melanoma from 61.4% 79.5% (95% confidence interval (CI): 73.5-85.6%) basal cell...
The urban heat island effect is linked to the built environment and threatens human health during extreme events. In this study, we analyzed whether characteristic land uses within an area are associated with higher or lower surface temperatures, concentrations of “hot” exacerbate relationship. Zonal statistics on a thermal remote sensing image for City Toronto revealed statistically significant differences between high average temperatures commercial resource/industrial use (29.1 °C), low...
This paper summarizes research on Web-based spatial decision support systems (WebSDSS). The review distinguishes early server-side from more recent client-side applications. A third category of WebSDSS focusing in public participation is typically implemented as a mixed client/server-based system. Conclusions drawn previous work include the need for systematic user studies WebSDSS, and adoption interoperable architectures distributed support. Furthermore, conceptual framework proposed to...
Extreme hot weather is a threat to public health, and it anticipated that the number of days duration extreme heat events will increase with climate change. Already, heat-related illness mortality dominant natural hazard in many countries. While everybody at risk varying degrees, there are known factors relating exposure sensitivity make some population groups more vulnerable than others. The objective this paper assess cartographic design decisions creating vulnerability maps, how they may...
Injury related to violent acts is a problem in every society. Although some authors have examined the geography of crime, few focused on spatio-temporal patterns injury and none used an ambulance dataset explore spatial characteristics injury. The purpose this study was describe combined temporal large urban centre.Using geomatics framework geographic information systems software, we studied 4,587 dispatches 10,693 emergency room admissions for occurrences among adults (aged 18-64) Toronto,...
In this paper, we critically analyse the response to COVID-19 pandemic, highlighting not only breadth of knowledge geographers have already contributed assessment, but also surprisingly limited critique within geography, social sciences and broadly defined 'Academic Left' authoritarian dimension public health policies 2020 onwards. We conclude with a number research questions for aftermath hope that they will help spur growth new wave anti-authoritarian Leftist geographical thinking...
Information technology plays a growing role in planning procedures. A procedure step which has not been supported by specific computer tools up to now, is asynchronous discussions. Such discussions can occur public participation as well between planners during plan design. In this paper I introduce argumentation models way of structuring debates, and review existing for recording argumentation. limited number support design-related or map-related Their short-comings analyzing geographically...
This paper proposes to use principles of geographic visualization in conjunction with multi‐criteria evaluation methods support expert‐level spatial decision‐making. Interactive maps can be combined analytical tools explore various settings parameters that define different decision‐making strategies. In a case study, the analytic hierarchy process (AHP) is used calculate composite measures urban quality life (QoL) for neighbourhoods Toronto. The AHP allows an interactive exploration...
Significant advances in public participation geographic information systems technology and online mapping platforms have not translated into enhanced citizen democratic planning processes. This study contributes to addressing this gap by evaluating the engagement of members an urban community sustainable neighbourhood through argumentation mapping. The provided discussion forum, together with a map which participants could link their contributions. On basis statistics, contents...
Volunteered geographic information (VGI) is collected by way of crowdsourcing. However, the distinction between VGI as an product and processes that create blurred. Clearly, environment influences creation different than itself, yet most literature treats them one same. Thus, this research motivated need to formalize standardize systems support VGI. To end, we propose a conceptual framework for systems, main components which—project, participants, technical infrastructure—form conducive...
Argumentation Maps support participants in geographically referenced debates as they occur, for example, part of urban planning processes. In a quasi-naturalistic case study, 11 student discussed issues on the University Toronto downtown campus. The analysis this study focuses general usability aspects an Map prototype, such cost entry, efficiency, interactivity, and connectivity. By applying methods from field human-computer interaction, we evaluate learnability, memorability, user...
Information technology plays a growing role in planning procedures. A procedure step which has not been supported by specific computer tools up to now, is asynchronous discussions. Such discussions can occur public participation as well between planners during plan design. In this paper I introduce argumentation models way of structuring debates, and review existing for recording argumentation. limited number support design-related or map-related Their short-comings analyzing geographically...
<p>Multi-criteria decision analysis (MCDA) is a family of support methods that allow analysts to structure problem through the selection and evaluation multiple often conflicting criteria, using established techniques standardize, weight, combine these criteria. Through case study an area-based deprivation index for city Toronto’s 140 neighbourhoods, we examine variability MCDA results under different models. We use interactive cartographic visualization explore impact criterion...
<p>Multi-criteria decision analysis (MCDA) is a family of support methods that allow analysts to structure problem through the selection and evaluation multiple often conflicting criteria, using established techniques standardize, weight, combine these criteria. Through case study an area-based deprivation index for city Toronto’s 140 neighbourhoods, we examine variability MCDA results under different models. We use interactive cartographic visualization explore impact criterion...
<p>Through decreasing hardware costs and novel areas of application, three-dimensional (3D) printing has become exceedingly popular in recent years. Starting with a project focused on public education about urban hydrology, we explored the use 3D-printed landscape models number regional applications. We also experimented city to engage users through visualization. Our goal was examine role GIS processing geospatial data for 3D explore applications physical geography outreach. Following...