Essays about: "Extract clinical information"
Showing result 1 - 5 of 12 essays containing the words Extract clinical information.
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1. Optimal peptide quantification via machine learning enhanced fragment ion ranking in DIA-MS proteomics
University essay from Lunds universitet/Examensarbeten i bioinformatikAbstract : In a standard mass spectrometry workflow, acquired mass spectra are searched against a library of peptides to extract peptide spectra matches (PSMs). Peptides are normally quantified by aggregating the intensities of fragment ions extracted from MS/MS spectra. READ MORE
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2. Towards terminology-based keyword extraction
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The digitization of information has provided an overflow of data in many areas of society, including the clinical sector. However, confidentiality issues concerning the privacy of both clinicians and patients have hampered research into how to best deal with this kind of "clinical" data. READ MORE
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3. C-section birth data classification using ensemble modelling techniques and their performance analysis
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Data mining and machine learning techniques have a wide range of applications in businesses, healthcare, organizations, and academia, to name a few. Machinelearning has been used by several academics to construct decision support systems, analyse major clinical features, extract useful information from trends in historical data, generate predictions, and classify diseases. READ MORE
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4. Natural Language Processing for Patient Data in Clinical Decision Support Systems
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : In Sweden, prostate cancer is the most common type of cancer among men. The care need within prostate cancer will get higher as the population increases and gets older. With this in mind, there is a need to streamline the care pathway. One way to do this is with a clinical decision support system. READ MORE
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5. Functional connectivity analysis in the human brain using ultra-high field MRI
University essay from Lunds universitet/Examensarbeten i bioinformatikAbstract : Introduction: Functional magnetic resonance imaging (MRI) is a non-invasive method which uses a combination of a strong magnetic field and radio frequency pulses to image magnetic difference between oxygenated and deoxygenated blood in the human brain. This contrast differences can be used to identify areas in the brain when subjects performing an active task in the MRI scanner. READ MORE