Search for dissertations about: "thesis in medical statistics"

Showing result 1 - 5 of 426 swedish dissertations containing the words thesis in medical statistics.

  1. 1. ePrescribing Studies in Pharmacoinformatics

    University dissertation from Naturvetenskapliga institutionen

    Author : Bengt Åstrand; Högskolan i Kalmar.; [2007]
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Community Pharmacy Services; Decision Making; computer-assisted; Drug Interactions; Drug Utilization statistics numerical data; ePrescribing; Medical Informatics; Medication Errors prevention control; Pharmacoinformatics; Polypharmacy; MEDICINE Physiology and pharmacology Physiology Medical informatics; MEDICIN Fysiologi och farmakologi Fysiologi Medicinsk informatik; Pharmacology; Farmakologi;

    Abstract : Det övergripande syftet med den här avhandlingen har varit att, inom området läkemedelsinformatik, studera utvecklingen av elektroniska stöd inom läkemedelsförskrivning; för klinisk praxis, uppföljning och forskning.Under århundraden har det handskrivna receptet varit det sätt, med vilket läkare förmedlat sina läkemedelsordinationer till apotekare, vilket också för patienten blivit en informationskälla för hur läkemedel ska användas för att göra bästa nytta. READ MORE

  2. 2. Medical devices in Sweden Industrial structure, production and foreign trade 1985-2002

    University dissertation from Stockholm : Fysik

    Author : Lena-Kajsa Sidén; KTH.; [2003]
    Keywords : medical devices; medical technology; medical device industry; production; foreign trade;

    Abstract : This licentiate thesis uses descriptive, mainly official,Swedish statistics to analyse industrial structure, productionand foreign trade in an industry that is traditionallydifficult to describe in numbers, that of medical devices. Forthe purposes of the thesis, the Swedish Medical Device industryis defined as companies classified in the SE-SIC manufacturingcodes 33101 (medical equipment and instruments, etc), 33102(dental products) and 35430 (invalid vehicles). READ MORE

  3. 3. Intracranial volume in neuroimaging: estimation and use in regional brain volume normalization

    University dissertation from Göteborgs universitet

    Author : Niklas Klasson; Göteborgs universitet.; Gothenburg University.; [2019]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; magnetic resonance imaging; intracranial volume; normalization;

    Abstract : The aim of this thesis is to validate methods for estimation of intracranial volume in magnetic resonance images and to improve our understanding of the effect of intracranial volume normalization. To achieve the first part of the aim, 62 gold standard estimates of intracranial volume were generated by manually segmenting 1. READ MORE

  4. 4. Inverse problems in signal processing Functional optimization, parameter estimation and machine learning

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Pol del Aguila Pla; KTH.; [2019]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; inverse problems; signal processing; machine learning; biomedical imaging; optimization; proximal optimization; regularization; mathematical modeling; identifiability; likelihood; logconcavity; immunoassays; convolutional coding; functional analysis; abstract inference; learned iterations; unrolled algorithms; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE

  5. 5. Statistical methods in medical image estimation and sparse signal recovery

    University dissertation from Umeå : Umeå University

    Author : Fekadu Lemessa Bayisa; Umeå universitet.; [2018]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Computed tomography; magnetic resonance imaging; Gaussian mixture model; skew-Gaussian mixture model; hidden Markov random field; hidden Markov model; supervised statistical learning; synthetic CT images; pseudo-CT images; spike and slab prior; adaptive algorithm;

    Abstract : This thesis presents work on methods for the estimation of computed tomography (CT) images from magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. The study also demonstrates sparse signal recovery method, which is an intermediate method for magnetic resonance image reconstruction. READ MORE