Search for dissertations about: "electronic records"
Showing result 1 - 5 of 543 swedish dissertations containing the words electronic records.
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1. Learning Predictive Models from Electronic Health Records
Abstract : The ongoing digitization of healthcare, which has been much accelerated by the widespread adoption of electronic health records, generates unprecedented amounts of clinical data in a readily computable form. This, in turn, affords great opportunities for making meaningful secondary use of clinical data in the endeavor to improve healthcare, as well as to support epidemiology and medical research. READ MORE
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2. Documentation of Vital Signs in Electronic Health Records : A Patient Safety Issue
Abstract : Background and aim: Hospitals in the developed world are increasingly adopting digital systems such as electronic health records (EHRs) for all kinds of documentation. This move means that traditional paper case notes and nursing records are often documented in EHRs. READ MORE
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3. Modeling and Estimation of Phase Noise in Oscillators with Colored Noise Sources
Abstract : The continuous increase in demand for higher data rates due to applications with massive number of users motivates the design of faster and more spectrum efficient communication systems. In theory, the current communication systems must be able to operate close to Shannon capacity bounds. READ MORE
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4. From Noise-Shaped Coding to Energy Efficiency - One bit at the time
Abstract : Three parameters that drive the research and development of future RF transmitter technologies for high speed wireless communication today are energy efficiency, flexibility and reduction of the physical footprint. This thesis treats the use of single-bit quantization in conjunction with a method called Noise-Shaped Coding (NSC), as an enabler for these parameters, foremost in terms of energy efficiency. READ MORE
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5. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records
Abstract : The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. READ MORE