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The automatic conversion of free text into a medical ontology can allow computational access to important information currently locked within clinical notes and patient reports. This system introduces a new method for automatically identifying medical concepts from the SNOMED Clinical Terminology in free text in near real time. The system presented consists(More)
OBJECTIVE Medication information comprises a most valuable source of data in clinical records. This paper describes use of a cascade of machine learners that automatically extract medication information from clinical records. DESIGN Authors developed a novel supervised learning model that incorporates two machine learning algorithms and several rule-based(More)
Information Extraction, from the electronic clinical record is a comparatively new topic for computational linguists. In order to utilize the records to improve the efficiency and quality of health care, the knowledge content should be automatically encoded; however this poses a number of challenges for Natural Language Processing (NLP). In this paper, we(More)
A 21-year-old man presented in shock after ingesting 2 g of arsenic trioxide. He died within 37 hours despite intensive treatment that included intramuscular dimercaprol and hemodialysis. Hemodynamic and laboratory data are presented illustrating the multisystem toxicities of inorganic arsenic. Hemodialysis, previously described as an effective therapeutic(More)
Development and progression of neurodegenerative disorders have, amongst other potential causes, been attributed to a disruption of iron regulatory mechanisms and iron accumulation. Excess extracellular iron may enter cells via nontraditional routes such as voltage-gated calcium channels and N-methyl-d-aspartate (NMDA) receptors leading to intracellular(More)
BACKGROUND The use of frozen sections in the management of lentigo maligna and lentigo maligna melanoma has been the focus of some controversy. OBJECTIVE Our purpose was to utilize paraffin-embedded tangential sections in the management of two cases of lentigo maligna and three cases of lentigo maligna melanoma. METHODS A modification of Mohs(More)
BACKGROUND A great challenge in sharing data across information systems in general practice is the lack of interoperability between different terminologies or coding schema used in the information systems. Mapping of medical vocabularies to a standardised terminology is needed to solve data interoperability problems. METHODS We present a system to(More)
OBJECTIVE Information extraction and classification of clinical data are current challenges in natural language processing. This paper presents a cascaded method to deal with three different extractions and classifications in clinical data: concept annotation, assertion classification and relation classification. MATERIALS AND METHODS A pipeline system(More)