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Artificial Neural Networks

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Revision as of 16:15, 15 June 2007 by Mpoynton (talk | contribs)

Summary

Willing to offer an introduction to ANNs if anyone is interested! Mollie Poynton

Just add your name below...

Participants

  • Yes, I'd love it. Vikas
  • very interested. --jd
  • same here. Amir
  • I would like to attend. Saleha
  • I would do anything to learn how to build an attractor neural network. -Mike

Hey - that's an interesting statement :) Unfortunately, I can't help with attractor neural nets. - MP

  • Count me in. --James
  • interested - Nate
  • Ya i would like to know also. --> Natasha
  • I will be there--rhonda

References and Resources

  1. McCulloch, W. & Pitts, W. (1943). A logical calculus of the ideas imminent in nervous activity. Bulletin of Mathematical Biophysics, 5:115-133.
  2. Poynton MR, McDaniel AM. Classification of smoking cessation status with a backpropagation neural network. J Biomed Inform. Mar 24 2006.
  3. Poynton M. Classification of smoking cessation status with machine learning methods. Bloomington, IN: Graduate School, Indiana University; 2005.
  4. Goodwin LK, Iannacchione MA, Hammond WE, Crockett P, Maher S, Schlitz K. Data mining methods find demographic predictors of preterm birth. Nurs Res. Nov-Dec 2001;50(6):340-345.
  5. Aronsky D, Chan KJ, Haug PJ. Evaluation of a computerized diagnostic decision support system for patients with pneumonia: study design considerations. J Am Med Inform Assoc. Sep-Oct 2001;8(5):473-485.
  6. Aronsky D, Fiszman M, Chapman WW, Haug PJ. Combining decision support methodologies to diagnose pneumonia. Proc AMIA Symp. 2001:12-16.
  7. Lagor C, Aronsky D, Fiszman M, Haug PJ. Automatic identification of patients eligible for a pneumonia guideline: comparing the diagnostic accuracy of two decision support models. Medinfo. 2001;10(Pt 1):493-497.
  8. Quaranta V, Weaver AM, Cummings PT, Anderson AR. Mathematical modeling of cancer: the future of prognosis and treatment. Clin Chim Acta. Jul 24 2005;357(2):173-179.
  9. Baxt WG, Shofer, FS, Sites, FD, Hollander, JE. A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain. Ann Emerg Med. 2002 Dec;40(6):575-83.
  10. Baxt WG, Skora J. Prospective validation of artificial neural network trained to identify acute myocardial infarction. Lancet. 1996 Jan 6;347(8993):12-5.

Excellent web site for learning about ROC analysis!

D.E.Rumelhart, G.E.Hinton and R.J.Williams "Learning internal representa-tions by error propagation." In David E. Rumelhart and James A. McClelland, volume 1. The MIT Press, 1986.

Bishop's book on Artificial Neural Networks