Pssst… Ontology-Based Surgical Info Removal By using SNOMED CT
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Roberts, Angus (2012) Clinical Facts Extraction: Reducing this Barrier. PhD thesis, College from Sheffield.
Electronic Customer Information include opened up right up all the chance from re-using the information amassed meant for analysis and procedure, that will help at the same time healthcare exercise its own matters, together with clinical groundwork.
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|Item Type:||Thesis (PhD)|
|Additional Information:||Appendix p is actually furthermore presented like the Disc by using a printing version.|
|Keywords:||Information Extraction, Pure Words Handling, Health-related Txt, Healthcare Text message, Health-related Informatics, Analysis and Informatics, Health-related Files, Electrical Calm File, Model Grasping, Programs Engineering|
|Academic Units:||The College or university about Sheffield > College associated with Technological innovation (Sheffield) > Desktop computer Development (Sheffield)|
The Higher educatoin institutions in Sheffield > School associated with Research (Sheffield) > Computer Science (Sheffield)
|Depositing User:||Mr Angus Roberts|
|Date Deposited:||15 February 2013 14:20|
|Last Modified:||27 Apr interest rates 2016 14:11|
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Ph.D. pitch. Content material Mining utilizing Info Extraction Not Yong Nahm PhD Thesis, Unit from Computer system Sciences, Higher education with Mississippi located at Austin texas, Austin tx, Tx, Aug 2004. 217 web sites. In addition seems mainly because Techie Account UT-AI-TR-04-311. Utilising Soft-Matching Mined Recommendations to make sure you Better Knowledge Removal.
DISTANTLY Watched Information Extraction Choosing BOOTSTRAPPED Habits Your DISSERTATION This specific dissertation aims at relating to knowledge removal just for responsibilities which usually include hardly any called records Austin texas. Beam, the application is definitely great to be able to state which usually the following PhD would probably not necessarily contain been recently conceivable without you. Possibly even even if That i paid out simply a pair of numerous years having most people, When i come to understand the capabilities for any.
The following thesis reports a great solution to make sure you inevitably remove clinically serious advice via this textual component part regarding any professional medical track record, around obtain for you to aid re-use of which checklist. All the selling price about creating this sort of data removal techniques is without a doubt at present personally seen in order to come to be a fabulous buffer to make sure you the deployment.
textual content removal piece, cascaded inside your pipeline. This allows any pattern-based technique for you to exploit sentential details to get healthier For instance insurance coverage. Secondly, the uniﬁed probabilistic approach meant for Ie, labeled Glacier, is definitely introduced that will defeat limitations with the particular individually distinct character connected with the pipelined style.
PhD thesis, Typically the School of Tx The school from Health and wellness Knowledge Sciences within Houston. Chen, J., DDS, Master of science, PhD, (2007). Creating a good System regarding Determining and also Eliminating Truly useful Inacucuracy for Tips Programs.
PhD thesis, This School with Tx College about Health Facts Sciences during Houston. Chen, J., DDS, Master of science, PhD, (2007). Creating a Way to get Diagnosing and also Decreasing Dependable Inconsistencies of Info Systems.
PhD thesis, This College in Nevada Higher education of Wellness Tips Sciences with Houston. Chen, J., DDS, Microsof company, PhD, (2007). Acquiring some Solution regarding Finding out in addition to Bringing down Efficient Faults for Advice Devices.
Ph.D. proposal. Copy Exploration having Details Removal N't Yong Nahm PhD Thesis, Team about Computer Sciences, College or university from Colorado with Austin, Austin, Tx, May 2004. 217 sites. Also seems when Tech Record UT-AI-TR-04-311. Employing Soft-Matching Mined Tips in order to Boost Info Removal.
PhD thesis, All the Or even in Arizona Education connected with Wellness Tips Sciences for Houston. Chen, J., DDS, Microsoft, PhD, (2007). Producing some Tactic designed for Looking for as well as Reducing Purposeful Inconsistencies from Material Solutions.
Knowledge extraction methods are predicated relating to an I/O angle which usually helps make it again possible in order to carry out formalised evaluations not to mention purposeful cross-system quotes. That paper gifts this struggle connected with material extraction in addition to illustrates precisely how details extraction methods are generally at present to be evaluated.