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AIME
2009
Springer
11 years 7 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
AIME
2009
Springer
11 years 7 months ago
Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
Abstract. In pharmacovigilance, linking the adverse reactions by patients to drugs they took is a key activity typically based on the analysis of patient reports. Yet generating po...
Mohamed Rouane Hacene, Yannick Toussaint, Petko Va...
AIME
2009
Springer
11 years 10 months ago
Sharable Appropriateness Criteria in GLIF3 Using Standards and the Knowledge-Data Ontology Mapper
Abstract. Creating computer-interpretable guidelines (CIGs) requires much effort. This effort would be leveraged by sharing CIGs with more than one implementing institution. Sharin...
Mor Peleg
AIME
2009
Springer
11 years 10 months ago
Semantic Web-Based Modeling of Clinical Pathways Using the UML Activity Diagrams and OWL-S
: Clinical Pathways can be viewed as workflows, comprising an ordering of activities with associated execution constraints. Workflow models allow formal representation, analysis an...
Ali Daniyal, Syed Sibte Raza Abidi
AIME
2009
Springer
11 years 10 months ago
Argumentation about Treatment Efficacy
Abstract The volume and complexity of knowledge produced by medical research calls for the development of technology for automated management and analysis of such knowledge. In thi...
Nikos Gorogiannis, Anthony Hunter, Vivek Patkar, M...
AIME
2009
Springer
11 years 10 months ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...
AIME
2009
Springer
12 years 1 months ago
Effect of Background Correction on Cancer Classification with Gene Expression Data
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Adelaide Freitas, Gladys Castillo, Ana São ...
AIME
2009
Springer
12 years 1 months ago
Modeling Clinical Guidelines through Petri Nets
Abstract. Clinical guidelines (GLs) play an important role to standardize and organize clinical processes according to evidence-based medicine. Several computer-based GL representa...
Marco Beccuti, Alessio Bottrighi, Giuliana Frances...
AIME
2009
Springer
12 years 1 months ago
Data-Efficient Information-Theoretic Test Selection
We use the concept of conditional mutual information (MI) to approach problems involving the selection of variables in the area of medical diagnosis. Computing MI requires estimate...
Marianne Mueller, Rómer Rosales, Harald Ste...
AIME
2009
Springer
12 years 1 months ago
The Role of Biomedical Dataset in Classification
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
Ajay Kumar Tanwani, Muddassar Farooq
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