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https://en.wikipedia.org/wiki/Support-vector_machine
Support-vector machine weights have also been used to interpret SVM models in the past. Posthoc interpretation of support-vector machine models in order to identify features used by the model to make predictions is a relatively new area of research with special significance in the biological sciences. History
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-6947-10-16
Mar 22, 2010 · We present a potentially useful alternative approach based on support vector machine (SVM) techniques to classify persons with and without common diseases. We illustrate the method to detect persons with diabetes and pre-diabetes in a cross-sectional representative sample of the U.S. population. We used data from the 1999-2004 National Health and Nutrition Examination Survey …Cited by: 229
https://substanceabusepolicy.biomedcentral.com/articles/10.1186/s13011-019-0242-1
Dec 12, 2019 · We employed four classification methods (decision tree, neural network, support vector machine, and logistic regression) to determine factors affecting the decision of PWUD to transition to injection. The average specificity of all models was over 84%. Support vector machine produced the highest specificity (0.9).Author: Somayeh Najafi-Ghobadi, Khadijeh Najafi-Ghobadi, Lily Tapak, Abbas Aghaei
https://link.springer.com/article/10.1007%2Fs11269-017-1660-3
Apr 19, 2017 · Abstract. Regarding the ever increasing issue of water scarcity in different countries, the current study plans to apply support vector machine (SVM), random forest (RF), and genetic algorithm optimized random forest (RFGA) methods to assess groundwater potential by spring locations.Cited by: 67
https://www.youtube.com/watch?v=RmajweUFKvM
Mar 20, 2018 · This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning,...
http://aircconline.com/ijcsit/V10N1/10118ijcsit02.pdf
In this study four classification algorithms are used: KNN, SVM, Naive Bayes and C5.0. ... A web based application has introduced in [6] using Naïve Bayesian algorithm which took symptoms from user and gave the diagnosis result to the user or patient. ... Bayes, Decision tree, Support Vector Machine (SVM) and Artificial Neural Networks (ANN) for
https://www.sciencedirect.com/science/article/pii/S1386505619306148
In this study, the ensemble algorithms such as the boosted decision tree and the decision forest algorithms performed better than non-ensemble algorithms such as support vector machine, naive Bayes and a method based on depth of invasion. Therefore, the ensemble machine algorithms should be considered in medical applications.Author: Rasheed Omobolaji Alabi, Mohammed Elmusrati, Iris Sawazaki‐Calone, Luiz Paulo Kowalski, Caj Haglund,...
http://www.iaeng.org/publication/IMECS2011/IMECS2011_pp442-447.pdf
to stop such fraud types. In this study, classification models based on decision trees and support vector machines (SVM) are developed and applied on credit card fraud detection problem. This study is one of the firsts to compare the performance of SVM and decision tree methods in credit card fraud detection with a real data set.
https://www.sciencedirect.com/science/article/abs/pii/S1386505619306148
These algorithms were Support Vector Machine (SVM), Naive Bayes (NB), Boosted Decision Tree (BDT), and Decision Forest (DF). Materials and methods. The study cohort comprised 311 cases from the five University Hospitals in Finland and A.C. Camargo Cancer Center, São Paulo, Brazil. ... The application of boosted decision tree machine learning ...
https://www.edureka.co/blog/support-vector-machine-in-r/
Support Vector Machine In R: With the exponential growth in AI, Machine Learning is becoming one of the most sort after fields.As the name suggests, Machine Learning is the ability to make machines learn through data by using various Machine Learning Algorithms and in this blog on Support Vector Machine In R, we’ll discuss how the SVM algorithm works, the various features of SVM and how it ...Author: Zulaikha Lateef
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