Search for dissertations about: "independent predictor"

Showing result 1 - 5 of 217 swedish dissertations containing the words independent predictor.

2. 1. Survival and functional recovery following valve replacement in patients with severe aortic stenosis

   Author : Wenhong Ding; Michael Y Henein; Eugenio Picano; Umeå universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Aortic stenosis; surgical aortic valve replacement; transcatheter aortic valve implantation; survival; predictor; echocardiography; speckle tracking; ventricular function; twist; strain; Cardiology; kardiologi;

   Abstract : Background: Aortic stenosis (AS) is the most common heart valve disease in Europe and North America. Age-related calcification of the valve is the commonest cause of acquired AS, especially in patients older than 70 years. READ MORE

4. 2. Genomic profiling of breast cancer by microarray-based technology and bioinformatics

   Author : Johan Staaf; Bröstcancer-genetik; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Survival; Prognostic predictor; Gene Expression; ERBB2; HER2; Microarray; Copy Number Analysis; CGH; aCGH; Amplification; Gene expression analysis;

   Abstract : Cancer is a genetic disease that arises when a cell acquires unlimited growth potential through a series of mutational events, which target genes essential for normal cell control and maintenance. Breast cancer is one of the most frequent malignancies in women worldwide, and it is characterized by heterogeneous tumor biology, histological subtypes, variable prognosis and variable responsiveness to treatment. READ MORE

5. 3. Functional Capacity as a Predictor of Everyday Functioning in Patients with Schizophrenia

   Author : Anna-Karin Olsson; Lars Helldin; Fredrik Hjärthag; Arto Hiltunen; Torill Ueland; Karlstads universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Schizophrenia; Functional capacity; Everyday functioning; Self-awareness; Assessment instrument; Psykologi; Psychology;

   Abstract : The overall purpose of this thesis is to increase knowledge of the concept of functional capacity and how it is related to everyday functioning for adult patients with schizophrenia spectrum disorders. The thesis comprises three papers (Papers I-III) based on empirical data from a clinically representative sample of outpatients. READ MORE

6. 4. Mapping the proteome with data-driven methods: A cycle of measurement, modeling, hypothesis generation, and engineering

   Author : Filip Buric; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; tensor factorization; mass spectrometry; model interpretation; sequence feature engineering; deep learning; proteomics; machine learning; data-independent acquisition; feature learning;

   Abstract : The living cell exhibits emergence of complex behavior and its modeling requires a systemic, integrative approach if we are to thoroughly understand and harness it. The work in this thesis has had the more narrow aim of quantitatively characterizing and mapping the proteome using data-driven methods, as proteins perform most functional and structural roles within the cell. READ MORE

7. 5. Machine Learning methods in shotgun proteomics

   Author : Patrick Truong; Lukas Käll; Peter Nilsson; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; mass spectrometry protein summarization Bayesian hierarchical modelling label-free quantification data-independent acquisition mass spectrometry; benchmark mathematical methods; transformers; computational proteomics; proteomics; bioinformatics; bert; ms2 intensity; probabilistic modelling; Biotechnology; Bioteknologi;

   Abstract : As high-throughput biology experiments generate increasing amounts of data, the field is naturally turning to data-driven methods for the analysis and extraction of novel insights. These insights into biological systems are crucial for understanding disease progression, drug targets, treatment development, and diagnostics methods, ultimately leading to improving human health and well-being, as well as, deeper insight into cellular biology. READ MORE