[PDF] Top 20 Predicting Diabetes Mellitus using Data Mining Techniques
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Predicting Diabetes Mellitus using Data Mining Techniques
... of diabetes is an important real-world medical ...of diabetes in its early stages is the key for ...the Data mining classification algorithms say Naïve Bayes, Logistic Regression, ...of ... See full document
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Predicting and Analysis of Students’ Academic Performance using Data Mining Techniques
... MLP using WEKA ...of data due to incom- plete and missing values in the collected ...more data in different years or by using more parameters in order to improve the model ...more data ... See full document
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Real Time Data Analytics Loom to Make Proactive Tread for Pyrexia
... various data mining techniques are ...medical data we employed Sacking algorithm because it produce human readable classification rules which are easy to ...different data mining ... See full document
6
Prediction for Diabetes and Heart Disease Using Data Mining Techniques
... tree using the divide and conquers ...dataset using the J48 ...various data mining algorithms to predict the heart attacks and to compare the best method of ...when using different ... See full document
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Comparative Analysis of Gestational Diabetes using Data Mining Techniques
... of data mining techniques, especially medical data mining techniques, the health care domain has made significant progress in using the technologies in prevention and ... See full document
9
Model for Predicting the Risk of Kidney Stone using Data Mining Techniques
... Previous data have demonstrated that human exposure to micro-gravity increases the risk of renal (kidney) stone development during and immediately after space ...phosphate using manual and automated ... See full document
21
Applying Data Mining Techniques for Predicting Diseases
... Classification is that the most ordinarily applied data mining technique that employs a group of pre-classified examples to develop a model that may classify the population of records at massive. This ... See full document
5
Supervised Deep Learning Approach To Identify the Lung Cancer
... various data mining techniques in predicting cancer and proposed a methodology of introducing a data mining (Data Integration, Data Selection, Data Cleaning, ... See full document
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DATA MINING TECHNIQUES FOR PREDICTING SCHOOL FAILURES AND DROPOUT
... In LFA improved the original model by splitting skill Addresses model improvements even further will some skills be better merged than if they are separate skills. It Can LFA recover some elements of truth if we search ... See full document
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The efficacy of using data mining techniques in predicting academic performance of architecture students.
... of using prior academic achievement to predict academic performance of architecture ...Can data mining techniques effectively predict academic performance of architecture students? The ... See full document
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Advanced Coherent System For Predicting Cardiac Risks using Data Mining Techniques
... Proposed methodology uses various algorithms and mainly Random Forest, Naïve Bayes and Support Vector Machine(SVM) algorithms to predict if any such cardiac risk levels exists for early automatic diagnosis with the help ... See full document
5
ID3 Classifier for Pupils' Status Prediction
... Predicting the pupil’s status is the primary goal. Many studies have been made by a large number of scientists to explore the prediction of their research. One best solution is predicting the results based ... See full document
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An Analytical Review on Prediction of Diabetes using Data Mining Technique
... insulin-subordinate diabetes mellitus.Type2 Diabetes Mellitus conclusion from insulin security which is a condition in which cells disregard to use insulin authentically, regardless of the way that ... See full document
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Heart Disease Prediction System Using Data Mining Techniques
... The experimental results have shown that, in general, J48 Decision Tree algorithm outperformed Naïve Bayes classifier and Neural Networks in the domain of predicting heart disease cases. One possible explanation ... See full document
10
Analyzing and Predicting Stock Market Using Data Mining Techniques – A Review
... trading data. This paper presents a review on various data mining techniques applied to stock trading data to analyze and predict stock trend, outline of proposed model for stock ... See full document
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An Expert System for Type 2 Diabetes Mellitus Risk Stratification: Data Mining Techniques
... of diabetes mellitus, more and more families are influenced with this chronic and crucial ...Type-2 diabetes has a very popular and high incidence disease all over the ...the diabetes, early ... See full document
13
Twitter Data Predicting Geolacation Using Data Mining Techniques
... the data set. Data visualization is an important discipline in the bigger context of data ...our data, we can provide interesting ...support data visualization with Python using ... See full document
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Predicting Student’s Performance using Data Mining Techniques
... ABSTRACT: A country’s growth is largely dependent on the quality of education system. To improve this system and to measure the capability or success rate of students, the prediction of student performance plays a vital ... See full document
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Predicting Dropout Students Using Data Mining Techniques
... the field of education. Educational Data Mining, concerns with developing methods that discover knowledge from data originating from educational environments. Examination plays a vital role in any ... See full document
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Diagnosis of Diabetes by using Data Mining Techniques
... a data mining approach for diagnosis of ...Type2 diabetes and ...are using feed forward artificial neural network which contains 2 layered ... See full document
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