medical text
12 years on – Is the NLM medical text indexer still useful and relevant?
... NLM Medical Text Indexer (MTI) is the main prod- uct of the Indexing Initiative and has been providing indexing recommendations based on the MeSH vocabu- lary since ...English text documents ...
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Lexical Normalization of User Generated Medical Text
... for medical text mining and information retrieval (IR) (Gonzalez-Hernandez et ...media text is generally noisy and this is only aggravated by the complex medi- cal domain (Gonzalez-Hernandez et ...
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Temporal Expressions in Swedish Medical Text – A Pilot Study
... Swedish medical text by creating a gold standard corpus also annotated with events and tem- poral links, in addition to temporal expres- sions and their normalised ...
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Using Learning To Rank to Enhance NLM Medical Text Indexer Results
... NLM Medical Text Indexer (MTI) system has been pro- viding assistance to NLM Indexers, Cat- alogers, and the History of Medicine Di- vision (HMD) in the task of indexing the ever increasing number of ...
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A Survey on Medical Text Mining
... the medical field. Due to recent technology advances, large masses of medical data are ...diseases. Text mining techniques are using to extract useful patterns from these mass ...various ...
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A Survey of Current Work in Medical Text Mining---Data Source Perspective
... illness within specific population based on the theory that the relative frequency of certain queries is highly correlated with the percentage of patients who have influenza-like symptoms. The supposed approach could be ...
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An Efficient Medical Text Mining in Disease Diagnoses and its Equivalent Data Privacy Preservation Policy for Medical Data
... may have different opinions. The main aim here is to imitate this situation in the manner to combine different opinions generated by diverse intelligent systems using the self- organizing abilities of cellular automata. ...
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Domain Adaptation for Medical Text Translation using Web Resources
... ∑ ∑ (1) where is the amount of terms in the topic defi- nition; is the weight of term ; is the weight of term at location . is the number of occurrences of term at position. In implemen- tation, we use the default ...
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Combining Domain Adaptation Approaches for Medical Text Translation
... The reminder of this paper is organized as fol- lows. In Section 2, we detail the configurations of our experiments as well as the baseline sys- tems. Section 3 presents the specific pre- processing for medical ...
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Detection of medical text semantic similarity based on convolutional neural network
... entire text as a set of words and calculates the weight for each word, thus transforms them into real-valued vec- tors and then calculate the similarity on top of them [8 – ...free text documents [4, ...
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A Framework for Medical Text Mining using a Novel Categorical Clustering Algorithm
... of medical records provides new opening for meaningful information retrieval in clinical diagnosis and ...A text classification algorithm is developed using cluster centers as training samples which uses a ...
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Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding
... a Light Gradient Boosting Machine (LGBM) al- gorithm, which consists of an implementation of fast gradient boosting on decision trees. In this study, we use a library implemented by Microsoft (Ke et al., 2017). In our ...
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Semi supervised Clustering of Medical Text
... with text documents having clusters of different shapes and ...clustering medical documents for EBM by using the search capability of a simulated annealing based approach, AMOSA (Archived MultiObjec- tive ...
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Structured Term Recognition in Medical Text
... of medical term types, basic linear chain CRF models cannot generalize beyond the terms in the training data (Zhang et ...correct medical terms identified from thousands of candidate new ...
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FFTM: A Fuzzy Feature Transformation Method for Medical Documents
... of medical text data makes text analysis as a key requirement to find patterns in datasets;however, the typical high dimensional- ity of such features motivates researchers to utilize dimension ...
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Supervised text classification of medical triage reports
... of medical texts that complicate medical text classification?’, is an- swered by performing a literature study and comparing the found characteristics to a sample of the data ...for medical ...
62
Vol.4, Issue1, March2014
... The results of the present study are supposed to help medical group students with an awareness of reading strategies in dealing with medical text comprehension in their educ[r] ...
401
Automated de-identification of free-text medical records
... free- text context information may reveal a patient's ...of text that does not contain any terms that are outright PHI, but the date is obvious to a human and a news search could potentially reveal details ...
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Medical Records Clustering Based on the Text Fetched from Records
... and medical drug name taken from the patient’s medical ...The medical records which are of rich text are taken into account in order to find the hidden information from ...The text ...
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Text messaging: an innovative method of data collection in medical research
... Nevertheless, there were several limitations to the study. The trial subjects, being undergraduates in a medical university, were better motivated and better informed than average young people. They probably also ...
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