Search for dissertations about: "predictive models"
Showing result 1 - 5 of 553 swedish dissertations containing the words predictive models.
-
1. Predictive markers : for treatment sensitivity in head and neck squamous cell carcinoma
Abstract : Head and neck cancer is the sixth most common cancer world wide. In Sweden approximately 850 new cases are diagnosed each year, and two thirds are men. The past decades of improved treatment strategies have unfortunately not significantly improved the five-year survival rates for this group of patients. READ MORE
-
2. Predictive Models for Railway Track Geometry Degradation
Abstract : Railways are a vital and effective means of mass transportation and play a vital role in modern transportation and social development. The benefits of the railway compared to other transportation modes are a high capacity, high efficiency and low pollution, and owing to these advantages, railways are nowadays experiencing a higher demand for the transportation of passengers and goods. READ MORE
-
3. Learning predictive models from graph data using pattern mining
Abstract : Learning from graphs has become a popular research area due to the ubiquity of graph data representing web pages, molecules, social networks, protein interaction networks etc. However, standard graph learning approaches are often challenged by the computational cost involved in the learning process, due to the richness of the representation. READ MORE
-
4. Calibration of Probabilistic Predictive Models
Abstract : Predicting unknown and unobserved events is a common task in many domains. Mathematically, the uncertainties arising in such prediction tasks can be described by probabilistic predictive models. Ideally, the model estimates of these uncertainties allow us to distinguish between uncertain and trustworthy predictions. READ MORE
-
5. Learning Predictive Models from Electronic Health Records
Abstract : The ongoing digitization of healthcare, which has been much accelerated by the widespread adoption of electronic health records, generates unprecedented amounts of clinical data in a readily computable form. This, in turn, affords great opportunities for making meaningful secondary use of clinical data in the endeavor to improve healthcare, as well as to support epidemiology and medical research. READ MORE