[PDF] Top 20 Risk Factor Analysis of Diseases Using Machine Learning Techniques
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Risk Factor Analysis of Diseases Using Machine Learning Techniques
... The Logistic Regression on the data identified attributes such as Forgets where puts things, forgets friends names, loses place in conversation, difficulty handling money as the high risk factors as their ... See full document
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Methods for the Prediction of Cardio Vascular Diseases in Diabetes patients using Machine Learning Techniques
... 2728 Techniques for mining stream data are critically ...mining techniques are the result of a long process of research and product development and can yieldthe benefits of automation on existing software ... See full document
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Study on Machine Learning for Identification of Farmer’s Query in Kannada Language
... Machine learning techniques have been used in the detection of diseases crops from the past several years and their applications have proved to be ...of learning, only normal state data ... See full document
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Predictive Analysis of Diseases Using Machine Learning and Big Data
... that machine learning and big data are boon to healthcare industry, and many research works are already started to reduce the complications in biomedical and healthcare ...use machine learning ... See full document
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Survey on Breast Cancer Analysis using Machine Learning Techniques
... There are three predictive foci of cancer prognosis: 1) prediction of cancer susceptibility (risk assessment), 2) prediction of cancer recurrence and 3) prediction of cancer survivability. Focus of this paper is ... See full document
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Sentiment Analysis in Facebook using Machine Learning Techniques
... Sentiment analysis is the process of computationally identifying and categorizing opinions expressed in text to determine the users’ attitude towards a particular product is positive, negative or ...for ... See full document
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Forecasting price movements using technical indicators : investigating the impact of varying input window length
... investigated using a number of performance ...the risk taken and the reward ...well-established machine learning techniques were employed for analysis: SVM, ANN and ... See full document
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Social Media Sentiment Analysis using Machine Learning and Optimization Techniques
... is machine learning ...supervised machine learning techniques and artificial neural networks to classify twitter data along with case study of Presidential and Assembly elections which ... See full document
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The Role of Machine Learning in Internet of Things (IoT) Research: A Review
... and analysis of big data is the key to developing smart IoT ...external factor of environment are caused dynamic change in IoT ...with machine learning. In recent year, machine ... See full document
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MACHINE LEARNING ON DIABETES MANAGEMENT: EMPLOYABILITY OF ADVANCED LOGISTIC REGRESSION AND PREDICTIVE ANALYSIS IN EARLY DETECTION OF DIABETES
... Nowadays, in rising kingdoms such as India, Diabetic Mellitus (DM) has to turn out to be a large physical condition exposure. To recognize disease as well as its related menace, Big-data analytics know how to be used at ... See full document
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IMPLEMENTATION AND ANALYSIS OF MACHINE LEARNING APPROACHES AND TECHNIQUES FOR STUDENT DROPOUT PREDICTION
... experiments using real data from engineering ...experiments using more data and also from different educational levels (primary, secondary, and higher) to test whether the same performance results are ... See full document
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Sentiment Analysis of Movie Reviews using Machine Learning Techniques
... dataset using twitter posts of movie reviews and related tweets about those ...sentiment analysis is performed on these ...created using relevant features. Finally, by using different ... See full document
5
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
... object using not binary polarity (good or bad) but a continuous mea- sure called sentiment polarity score ...method using support vector machines and the results are close to human ... See full document
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Analysis of Banknote Authentication System using Machine Learning Techniques
... different machine learning algorithms and concludes that Decision-Tree and MLP technique is best to classify a bank ...extracted using Fast Wavelet ... See full document
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A Study of Classification Techniques of Data Mining Techniques in Health Related Research
... C. K-Nearest neighbor algorithm: K-nearest neighbor algorithm was proposed by M. Cover and P. E. Hart. In this algorithm class is known. On the concept of nearest neighbor it identifies the category of attribute to which ... See full document
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Malware Analysis on Android Using Supervised Machine Learning Techniques
... malware analysis and detection in Android ...numerous machine learning algorithms already been proposed or applied to classify or cluster malware including analysis techniques, ... See full document
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A Survey on Machine learning assisted Big Data Analysis for Health Care Domain
... In [5] author has explained the naïve Bayes method to classify new cases or patients as they arrive. Model developed by author can predict the state of persons health on providing the symptoms as input and analyze the ... See full document
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Sentiment Analysis using Twitter Data
... We presented our result on sentiment analysis using twitter data. We use proposed models of classification in the supervised machine learning i.e. Naïve Bayes, SVM, and Neural Networks. For ... See full document
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Sentiment Analysis and Opinion Mining using Machine Learning Techniques
... A Language Model is a statistical approach of modelling the words from a text by means of a probability distribution. The model assigns probabilities to the sequence of words. This approach is commonly used in a wide ... See full document
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Automatic face image annotation using machine learning techniques
... could be due to variation in light conditions or posture. There are a wide variety of algorithms used to detect the human face , 2003, used AdaBoost algorithm for detection of human faces. To generate single composite ... See full document
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