Sökning: "Clinical text processing"

Visar resultat 1 - 5 av 9 avhandlingar innehållade orden Clinical text processing.

  1. 1. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records

    Författare :Aron Henriksson; Hercules Dalianis; Martin Duneld; Jussi Karlgren; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; distributional semantics; random indexing; semantic space; electronic health records; clinical text; synonyms; diagnosis codes; adverse drug reactions; Computer and Systems Sciences; data- och systemvetenskap; IT for health; IT för hälsa; datorlingvistik; Computational Linguistics; datalogi; Computer Science;

    Sammanfattning : 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. LÄS MER

  3. 2. Mining Clinical Text in Cancer Care

    Författare :Rebecka Weegar; Dalianis Hercules; Søren Brunak; Lilja Øvrelid; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; text mining; natural language processing; electronic health records; clinical text mining; information extraction; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Health care and clinical practice generate large amounts of text detailing symptoms, test results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in health records, is a potential source of knowledge and an underused resource for improved health care. LÄS MER

  4. 3. Extracting Clinical Findings from Swedish Health Record Text

    Författare :Maria Skeppstedt; Hercules Dalianis; Gunnar Nilsson; Maria Kvist; Tapio Salakoski; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Named entity recognition; Corpora development; Clinical text processing; Distributional semantics; Random indexing; Vocabulary expansion; Assertion classification; Clinical text mining; Electronic health records; Swedish; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Information contained in the free text of health records is useful for the immediate care of patients as well as for medical knowledge creation. Advances in clinical language processing have made it possible to automatically extract this information, but most research has, until recently, been conducted on clinical text written in English. LÄS MER

  5. 4. From Disorder to Order : Extracting clinical findings from unstructured text

    Författare :Maria Skeppstedt; Hercules Dalianis; Gunnar Nilsson; Beáta Megyesi; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Text mining; named entity recognition; clinical language processing; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Medical disorders and findings are examples of important information in health record text. Through developing methods for automatically extracting these entities from the health record text, the possibility of making use of the information by automatic computerised processes increases. LÄS MER

  7. 5. Hearing and cognition in speech comprehension. Methods and applications

    Författare :Mathias Hällgren; Stig Arlinger; Birgitta Larsby; Arne Leijon; Linköpings universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Aging; physiology; cognition; cognition disorders; dichotic listening tests; hearing loss; sensorineural; neuropsychological tests; speech perception; Audiology; Audiologi;

    Sammanfattning : Central auditory processing is complex and can not be evaluated by a single method. This thesis focuses on assessment of some aspects of central auditory functions by the use of dichotic speech tests and cognitive tests that tax functions important for speech processing. LÄS MER