#zeror

[theshitpostcalligrapher]

might I request, "keep your hands to yourself or i'll keep them on a shelf." it's a phrase my sister likes to say.

savage af

Askbox is currently closed as I work my way through these older asks

[fortheloveofjellycats]

could you please do a snow dragon thundersnow stimboard? thank you in advance!

I couldn’t find many stim images that were purely of thundersnow, so I combined the two aesthetics as best as I could! Posted, I hope you like it! xx

(Good news Jellycat enthusiasts, Snow Dragon is back in stock on the US site!)

🌻 Send stuff in for the Sleepover Weekend!! 🌻

[trdizifilm]

Nissan Skyline R32 HKS Zero-R

Nissan Skyline R32 HKS Zero-R

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Nissan Skyline R32 HKS Zero-R Der wohl seltenste Skyline GT-R Der HKS Zero-R ist einer der seltensten Nissan Skyline GT-R. Nur vier Stück haben es auf die Straße geschafft. AUTO BILD hat alle Infos! ➤ Einer der seltensten Skyline GT-R ➤ Die Unterschiede zwischen R32 GT-R und Zero-R Selten, seltener, HKS Zero-R

Für die neue Heckansicht musste der Tank in den Fond,…

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[ijtsrd]

Analytical Study of Diagnosis for Angioplasty and Stents Patients using Improved Classification Technique

by Faisal Riyaz Wani | Er. Harwinder Kaur" Analytical Study of Diagnosis for Angioplasty and Stents Patients using Improved Classification Technique" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1, December 2018, 

URL: http://www.ijtsrd.com/papers/ijtsrd19169.pdf

Direct Link: http://www.ijtsrd.com/computer-science/other/19169/analytical-study-of-diagnosis-for-angioplasty-and-stents-patients-using-improved-classification-technique/faisal-riyaz-wani

best international journal, call for paper papers conference, indexed journal

The various technologies of data mining DM models for forecast of heart disease are discussed. Data mining plays an important role in building an intelligent model for medical systems to detect heart disease HD using data sets of Angioplasty and Stents patients, which involves risk factor associated with heart disease. Medical practitioners can help the patients by predicting the heart disease before occurring. The large data available from medical diagnosis is analyzed by using data mining tools and useful information known as knowledge is extracted. Mining is a method of exploring massive sets of data to take out patterns which are hidden and previously unknown relationships and knowledge detection to help the better understanding of medical data to prevent heart disease. There are many DM techniques available namely Classification techniques involving Naïve bayes NB , Decision tree DT, Neural network NN, Genetic algorithm GA, Artificial intelligence AI and Clustering algorithms like KNN, and Support vector machine SVM. Several studies have been carried out for developing prediction model using individual technique and also by combining two or more techniques. This research provides a quick and easy review and understanding of available prediction models using data mining. The comparison shows the accuracy level of each model given by different researchers.