Sökning: "predictive models"

Visar resultat 1 - 5 av 556 avhandlingar innehållade orden predictive models.

1. 1. Predictive markers : for treatment sensitivity in head and neck squamous cell carcinoma

   Författare :Lovisa Farnebo; Karin Roberg; Ann-Charlotte Johansson; Lena Norberg-Spaak; Antti Mäkitie; Linköpings universitet; []
   Nyckelord :MEDICINE; MEDICIN;

   Sammanfattning : 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. LÄS MER

3. 2. Predictive Models for Railway Track Geometry Degradation

   Författare :Iman Soleimanmeigouni; Alireza Ahmadi; Nalinaksh S. Vyas; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-driven models; Degradation; Inspection; Maintenance; Predictive analytics; Tamping; Track geometry; Railway infrastructure; RAMS; Drift och underhållsteknik; Operation and Maintenance;

   Sammanfattning : 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. LÄS MER

4. 3. Learning predictive models from graph data using pattern mining

   Författare :Thashmee M. Karunaratne; Henrik Boström; Lars Asker; Nada Lavraˇc; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Graph Data; Pattern Mining; Classification; Regression; Predictive Models; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : 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. LÄS MER

5. 4. Calibration of Probabilistic Predictive Models

   Författare :David Widmann; Fredrik Lindsten; Meelis Kull; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematical Statistics; Matematisk statistik;

   Sammanfattning : 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. LÄS MER

7. 5. Learning Predictive Models from Electronic Health Records

   Författare :Jing Zhao; Lars Akser; Henrik Boström; Nada Lavrač; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data Science; Machine Learning; Predictive Modeling; Data Representation; Health Informatics; Electronic Health Records; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : 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. LÄS MER