[PDF] Top 20 A Machine Learning Approach to Clinical Terms Normalization
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A Machine Learning Approach to Clinical Terms Normalization
... a machine learning approach us- ing MaxEnt and XGBoost ...pervised learning approach to generate new fea- tures by detecting synonyms, abbreviations and ty- pos is presented to improve ... See full document
11
Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach
... unsupervised machine learning techniques is becoming popular in the medical field to reduce the dimensionality of the data and to help visualize possible ... See full document
11
Sentiment Analysis Of Product Reviews – A Survey
... The Machine Learning Approach uses AI calculations and etymological highlights while the Lexicon-put together Approach depends with respect to feeling dictionary, a gathering of known and ... See full document
8
Automatic Translation of Biomedical Terms by Supervised Machine Learning
... statistical machine translation (Brown et ...statistical approach that uses a trans- lation model and a language model (Brown et ...our terms hardly varies from one language to ... See full document
8
A Machine Learning Approach for Phenotype Name Recognition
... lations (for instance, (Coulet et al., 2010)) use only dictionary-based techniques to recognize the phenotypes in the text. Although many biomedical-term-specialized dictionaries are available, we are not aware of a ... See full document
16
Machine Learning Technique and Normalization Cross Correlation Model Applied for Face Recognition
... eliminates the possibility of losing discriminative information due to a separate PCA step. It uses the PCA to project an image into a lower dimensional space or face space then perform LDA to maximize the discriminatory ... See full document
11
Automatic Identification of Bengali Noun Noun Compounds Using Random Forest
... and/or machine learning ...hybrid approach to multiword expression extrac- tion that combines the strengths of different sources of information using a machine learning ... See full document
9
Using Non Lexical Features to Identify Effective Indexing Terms for Biomedical Illustrations
... a machine learning approach to image anno- tation, training data based on lexical features alone is not sufficient for finding salient indexing ...classify terms that are not en- countered ... See full document
8
Sentiment Analysis in E-Commerce and Information Security
... Lexicon-based approach- The lexicon-based approaches depend on a collection of known and precompiled sentiment terms and phrases, which is called a sentiment ...based approach, corpus based ... See full document
10
A Cascade-Classifier Approach for Fall Detection
... classifier approach can significantly reduce the computational time of the current sliding window based machine learning ...In terms of accuracy, our approach is able to achieve better ... See full document
6
Joint Inference of Named Entity Recognition and Normalization for Tweets
... name normalization using a machine learning approach, a dictionary of person names and frequency information for names in a collection; Cucerzan (2007) demostrates a large- scale system for ... See full document
10
Ensemble Learning Approach to Improve Existing Models
... of machine learning is predicting the possibility of any future ...Ensemble Learning [1] approach of Bagging [2] and Boosting [3] with Linear ... See full document
5
An Active Learning Approach to Finding Related Terms
... pansion terms. Suppose we are looking for pages discussing “public safety.” Then synonyms (or near-synonyms) of “safety” would be useful (e.g. “security”) but also non-synonyms such as “pre- cautions” or ... See full document
6
Prediction Of Misclassification Data Based On Cognitive Computation Approach (CCA)
... To improve the performance of accuracy rate, apply predictive data analysis technique to classify the data. The proposed work develops the complete assurance and it offers an analytical thinking of existing approaches ... See full document
8
A Machine Learning Approach for the Discovery of
... structure for most of the full agonist trajectory, whereas in the inverse agonist bound trajectories these 440. residues are in a more disordered conformation[r] ... See full document
23
Machine Learning for the Prediction of New Onset Diabetes Mellitus during 5 Year Follow up in Non Diabetic Patients with Cardiovascular Risks
... In this study, there were several limitations. First, the source data of this study included subjects with cardiovascular risks, so the results of this study cannot be generalized to everyone. Thus, in further study, it ... See full document
9
A Survey Of Machine Learning Algorithms In Health Care
... deep learning we take neural network to the next level through some effective learning ...deep learning a success. Deep learning has revolutionized the way image recognition, speech ... See full document
5
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
... a machine learning approach to evaluating the well- formedness of output of a machine translation system, using classifiers that learn to distinguish human reference translations from ... See full document
8
Optimum Crop Prediction using Data Mining and Machine Learning Techniques
... Use of technology in agriculture can change the situation of decision making and farmers can yield in better way. Optimum crop prediction system with the help of ID3 algorithm and data mining will help the farmer to make ... See full document
5
Intelligent Model for Classification of SPAM and HAM
... adaptive approach for header feature extraction based on the length of the email subject ...collaborative approach for feature ...collaborative approach for classifying emails as HAM and ... See full document
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