Sökning: "prediction models"

Visar resultat 1 - 5 av 1094 avhandlingar innehållade orden prediction models.

  1. 1. Ensemble methods for protein structure prediction

    Författare :Marcin J. Skwark; Arne Elofsson; Michael Tress; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; model quality assessment; contact prediction; homology modeling; ab-initio prediction; consensus prediction; structural bioinformatics; bioinformatics; protein structure; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

    Sammanfattning : 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. LÄS MER

  3. 2. DIGIROP prediction models for severe retinopathy of prematurity

    Författare :Aldina Pivodic; Göteborgs universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; preterm birth; retinopathy of prematurity; prediction models; screening; clinical decision support tool;

    Sammanfattning : 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. LÄS MER

  4. 3. Transmembrane Proteins and Protein Structure Prediction : What we can learn from Computational Methods

    Författare :John Lamb; Arne Elofsson; Paolo Marcatili; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; contact prediction; transmembrane protein; topology prediction; machine learning; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Sammanfattning : 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. LÄS MER

  5. 4. Situation awareness in pervasive computing systems : reasoning, verification, prediction

    Författare :Andrey Boytsov; Christian Becker; Luleå tekniska universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; situation awareness; context awareness; pervasive computing; ubiquitous computing; context prediction; Pervasive Mobile Computing; Distribuerade datorsystem;

    Sammanfattning : 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. LÄS MER

  7. 5. Pharmacometric Investigations of Prediction Precision and Advances of Models for Composite Scale Data

    Författare :Gustaf Wellhagen; Maria C. Kjellsson; Bengt Hamrén; Per Olsson Gisleskog; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; modelling; non-linear mixed effects modelling; composite scale data; total score data; total score analysis; precision prediction; bounded integer; bounded integer model; IRT-informed total score analysis; item response theory-informed; mixed models for repeated measures; MMRM; dose-response; dose-response mixed models for repeated measures; DR-MMRM; HbA1c models; fit-for-purpose analysis; clinical trial analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

    Sammanfattning : 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. LÄS MER