O’pka saratoni kasalligini aniqlashda cnn algoritm Маткурбонова Маржон


O’pka saratonini aniqlashda saralab olingan informativ belgilar va ularning algoritmi



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O’pka saratonini aniqlashda saralab olingan informativ belgilar va ularning algoritmi.

Quyida informativ belgilar sifatida K1 hamda K2 sinflarni tanlab oldik va har bir sinf obyektini x1, x2, x3, x4 … kabi belgilarni ajratib oldik, bunda bizga: x1-allergiya, x2-astma, x3-surunkali bronxial naychalar kasalligi, x4-halqumning sovuq natijasida ishib ketishi, x5-bronxit… kabi bir qancha informativ belgilar majmuasini tuzib olamiz…

Bizda belgilarimiz soni: x = (x1, x2, x3, x4, x5, x6, … xn) gacha holatda belgilaymiz:

N→l, ˄ = {0,1}

{x1, x2, x3, x4, x5, x6}



R(A) → K, K, K++

Foydalanilgan adabiyotlar ro’yhati:

  1. V. Krishnaiah, G. Narsimha, & N. Subhash Chandra, A study on clinical prediction using Data Mining techniques, International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) ISSN 2249-6831 Vol. 3, Issue 1, 239 248, March 2013

  2. Nada Lavrac, BlažZupan, "Data Mining in Medicine" in Data Mining and Knowledge Discovery Handbook, 2005

  3. Soni J, Ansari U, Sharma D, "Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction", International Journal of Computer Applications (0975 – 8887), Volume 17– No.8, March 2011

  4. O. Mary K, Mat, “Applications of Data Mining Techniques to Healthcare Data”, Infection Control and Hospital Epidemiology, August 2004

  5. Hian Chye K, Gerald T, Data mining applications in healthcare, Journal of healthcare information management: JHIM.19 (2): 64-72, (2005)

  6. M. Ridinger, “American Healthways uses SAS to improve patient care”, DM Review, vol. 12, no.139, 2002

  7. Data mining techniques for medical Data: a review Subhash Chandra Pandey Computer Science & Engineering Department Birla Institute of Technology, Ranchi -Allahabad Campus Naini, Allahabad (UP), India

  8. Emina Alickovic and Abdulhamit Subasi, Data Mining Techniques for Medical Data Classification, The International Arab Conference on Information Technology (ACIT),2011

  9. Sebe N., Ira Cohen, Ashutosh Garg and Thomas Huang S. "Machine Learning in Computer Vision", Springer, Netherlands, pp. 130-133, 2005



  10. https://www.geeksforgeeks.org/pattern-recognition-introduction

  11. Pattern recognition principles Julius T. Tou, Rafael C. Gonzalez

  12. From Bayes' Theorem to Pattern Recognition via Bayes' Rule A slecture by Varun Vasudevan Partly based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin.

  13. Wikipedia

  14. https://towardsdatascience.com/medical-diagnosis-with-a-convolutional-neural-network

  15. https://www.premierhealth.com/your-health/articles/women-wisdom-wellness-/6-symptoms-that-can-signal-lung-disease

  16. Hinton G. E., Osindero S., Teh Y. W. A fast learning algorithm for deep belief nets. Neural Computation. 2006;18(7):1527–1554. doi: 10.1162/neco.2006.18.7.1527. [PubMed] [CrossRef] [Google Scholar]

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