About Med Practice Management

After my wife decided to start her own medical practice, we were presented with several critical decisions with no guidance for our particular situation. I found myself gathering data, over analyzing, and predicting so that we could fully understand the outcomes of our choices. The approach has always been to determine the worst-case scenario and plan accordingly to avoid it.

This site documents our thought process and analysis for our “data-driven decisions”. In many cases, it may be specific to our circumstances but should be useful for other situations.

My Bio – A. Topalis

I have a master’s degree in Electrical Engineering specializing in Artificial Intelligence / Machine Learning and Signal Processing.

Here are some of my publications:

  • Muhlbaier M., Topalis A., Polikar R., “Learn++.NC: Combining Ensemble of Classifiers Combined with Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes,” IEEE Transactions on Neural Networks, vol. 20, no. 1, pp. 152 – 168, 2009. (Top 10 cited papers of 2010)
  • Polikar R., Topalis A., Green D., Kounios J., Clark C.M., “Comparative multiresolution analysis and ensemble of classifiers approach for early diagnosis of Alzheimer’s disease,” Computers in Biology and Medicine, vol. 37, no. 4, 542-558, 2007.
  • Polikar R., Topalis A., Green D., Kounios J., Clark C.M., “Ensemble based data fusion for early diagnosis of Alzheimer’s disease,” Information Fusion, PREPRINT available accepted / in print for 2006.
  • Clark C.M., Topalis A., Green D.L., Stepenosky N., Gandhi H., McCoubrey H., Kounios J., Xie S.and Polikar R., “Auditory event related potentials: A candidate physiologic biomarker for early detection of neurodegeneration associated with Alzheimer disease,” Alzheimer’s and Dementia, vol.2, no.3, supplement 1, pp. S141, 2006 (abstract published only).
  • Muhlbaier M., Topalis A., Polikar R., “Ensemble confidence estimates posterior probability,” 6th Int. Workshop on Multiple Classifier Systems (MCS 2005), Springer Lecture Notes in Computer Science (LNCS), vol. 3541, pp. 326-335, Seaside, CA, June 2005.
  • Parikh D., Stepenosky N., Topalis A., Green D., Kounios J., Clark C. and Polikar R. , “Ensemble based data fusion for early diagnosis of Alzheimer’s disease,” Proc. of 27th Int. Conf. of IEEE Engineering in Medicine and Biology Soc., pp. 2749-2482, Shanghai, China, September 2005.
  • Stepenosky N., Topalis A., Frymiare J., Kounios J Clark C. and Polikar R., “Comparison Of Pz, Fz And Cz Event Related Potentials For The Early Diagnosis Of Alzheimer’s Disease,” ASME Summer Bioengineering Conference, Vail, CO, June 2005.
  • Topalis A., Stepenosky N., Frymiare J., Kounios J., Clark C. and Polikar R., “Comparison of ERP spectral bands for early diagnosis of Alzheimer Disease using multiresolution wavelet analysis,” Alzheimer’s and Dementia, vol.1, no.1, supplement 1, pp. 23, 2005 (abstract only).
  • Muhlbaier M., Topalis A., Polikar R., “Learn++.MT: A new approach to incremental learning,” 5th Int. Workshop on Multiple Classifier Systems (MCS 2004), Springer LINS vol. 3077 , pp. 52-61, Cagliari, Italy, June 2004.
  • Muhlbaier M., Topalis A., Polikar R., “Incremental learning from unbalanced data,” Proc. of Int. Joint Conference on Neural Networks (IJCNN 2004), pp. 1057-1062, Budapest, Hungary, July 2004.