Search for dissertations about: "Prediction Models"
Showing result 1 - 5 of 1085 swedish dissertations containing the words Prediction Models.
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1. Ensemble methods for protein structure prediction
Abstract : Proteins play an essential role in virtually all of life's processes. Their function is tightly coupled to the three-dimensional structure they adopt.Solving protein structures experimentally is a complicated, time- and resource-consuming endeavor. READ MORE
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2. DIGIROP prediction models for severe retinopathy of prematurity
Abstract : BACKGROUND: Retinopathy of prematurity (ROP), a preventable, potentially blinding eye disease, is primarily diagnosed in extremely preterm infants. Gestational age (GA) and birth weight (BW) are the most prominent risk factors. Routine ROP examinations are performed to identify the low proportion of infants who progress to needing treatment. READ MORE
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3. Transmembrane Proteins and Protein Structure Prediction : What we can learn from Computational Methods
Abstract : A protein’s 3D-structure is essential to understand how proteins function and interact and how biochemical processes proceed in organic life. Despite the advancement in experimental methods, it remains expensive and time-consuming to determine protein structure experimentally. READ MORE
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4. Situation awareness in pervasive computing systems : reasoning, verification, prediction
Abstract : The paradigm of pervasive computing aims to integrate the computing technologies in a graceful and transparent manner, and make computing solutions available anywhere and at any time. Different aspects of pervasive computing, like smart homes, smart offices, social networks, micromarketing applications, PDAs are becoming a part of everyday life. READ MORE
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5. Pharmacometric Investigations of Prediction Precision and Advances of Models for Composite Scale Data
Abstract : Clinical trials are needed to evaluate new treatments. In late-stage clinical trials, failures are mostly due to lack of efficacy. Fit-for-purpose analysis methods will likely increase the success rates and advance drug development by providing higher precision to support decisions such as go/no-go, dose selection, or sample size. READ MORE