[PDF] Top 20 Clinical Medical Knowledge Extraction using Crowdsourcing Techniques
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Clinical Medical Knowledge Extraction using Crowdsourcing Techniques
... The health is one of the increasing subjects used for assessing health condition among patients who suffer from specific ailment or diseases. It has been assumed that identification of the variables is able to mirror the ... See full document
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A Survey of Knowledge Extraction Classification using Different Techniques
... recognition, medical diagnostics, prognostics and many others has been supported by computational ...the knowledge about the problem in a rule form or just there are no available specialists with a ... See full document
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Extraction of Biological Knowledge by Clustering Data Mining Techniques
... Abstract: Bioinformatics and computational science include the utilization of systems in-cluding connected arithmetic, informatics, measurements, software engineering, arti-ficial insight, science, and organic chemistry ... See full document
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Bidirectional LSTM CRF for Clinical Concept Extraction
... Patient clinical records typically contain longitudinal data about patients’ health status, diseases, con- ducted tests and response to ...for clinical practice, but also for the organisation and management ... See full document
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Index Terms: Crowd sourced Question Answering, Medical Knowledge Extraction, and Truth Discovery
... fusion techniques to more challenging area of automatically constructing large-scale knowledge ...a knowledge base, we employ multiple knowledge extractors to extract (possibly conflicting) ... See full document
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Aligning Medical Domain Ontologies for Clinical Query Extraction
... of medical ontologies facilitates the integration of medical knowledge that is relevant to medical image contents from multiple ontolo- ...on medical images. As discussed earlier the ... See full document
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Stacked Generalization for Medical Concept Extraction from Clinical Notes
... learning using a single algo- rithm that improved performance on an NER ...meta-classifier using features derived from the predictions and confidence scores of a set of di- verse component ...our ... See full document
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Classification of Hematological Data Using Data Mining Technique to Predict Diseases
... in Medical Science, Railway and so on ...search knowledge that is ...classification techniques using WEKA (Waikato Environment for knowledge analysis) for blood-related data is a ... See full document
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Answering Clinical Questions with Knowledge Based and Statistical Techniques
... Our knowledge extractors rely extensively on MetaMap (Aronson 2001), a system for identifying segments of text that correspond to concepts in the UMLS Metathe- ...the Medical Literature (1987) to help ... See full document
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Domain Targeted, High Precision Knowledge Extraction
... precision knowledge base (KB), contain- ing general (subject,predicate,object) state- ments about the world, in support of a down- stream question-answering (QA) ...(IE) techniques, no suitable resource for ... See full document
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Knowledge Discovery in Medical Database using Machine Learning Techniques
... the knowledge discovery. The goal of the whole KDD process is the extraction and application of knowledge derived from these ...of knowledge discovery ...mining techniques is given in ... See full document
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Medical Students’ Knowledge of Clinical Practical Procedures: Relationship with Clinical Competence
... successfully, medical educators must focus on teaching both a thorough understanding of the cognitive aspects of the procedure and the ‘hands on’ ...student using that in- strument or ...the clinical ... See full document
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A LITERARY SURVEY ON TEXTMINING APPLICATIONS AND TECHNIQUES
... By using the discovering patterns large amount of data are increasing day by day to find the accurate ...by using text mining. To solve this problem various techniques are used for the unstructured ... See full document
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Building an English Vocabulary Knowledge Dataset of Japanese English as a Second Language Learners Using Crowdsourcing
... The knowledge of a language is too large, and testing all types of knowledge imposes a heavy burden on ...learners’ knowledge of words, especially their mean- ...in using the second language ... See full document
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Comparison of Conventional and Novel Extraction Techniques for the Extraction of Scopoletin from Convolvulus Pluricaulis
... Conventional extraction techniques like soxhlet extraction and reflux extraction and novel extraction techniques like Supercritical Fluid extraction (SFE), Ultrasonic ... See full document
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... a medical query, the query is pre-processed using a set of Natural Language Processing (NLP) steps including tokenization, stop words removal and stemming (using Porter ...identify medical ... See full document
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Keyword Extraction Using Swarm Intelligence Techniques
... conversation using Swarm Intelligence (SI) optimization ...By using crisscross searching techniques, keywords are easy to search and provide some important top ...SI techniques have better ... See full document
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Medical Diagnosis Expert System for Malaria and Related Diseases for Developing Countries
... presenting clinical symptoms for malaria include: paroxysmal fever, shaking chills and sweats (every 48 or 72 hours, depending on the species), headache, cough, fatigue, malaise, arthralgia and ... See full document
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Lifelong Machine Learning for Topic Modeling and Beyond
... To extract pk-sets from all the prior topics (Step 2 in Section 3.1, LTM utilizes frequent itemset min- ing (FIM) (Agrawal and Srikant, 1994). The goal of FIM is to identify all itemsets (an itemset is a set of items) ... See full document
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Crowdsourcing and Its Applications on Data Mining : A Brief Survey
... on crowdsourcing platforms, but also on a lot of online forums In Amazon Mechanical Turk, requesters can require the level of worker’s HITs Approval Rate and some other qualifications, such as language ...advanced ... See full document
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