My CV

Publications:

R. Marshall Austin, Agnieszka Onisko, and Marek J. Druzdzel. The Pittsburgh Cervical Cancer Screening Model. A Risk Assessment Tool. Arch Pathol Lab Med. 2010;134:744–750.

Zhao C, Florea A, Onisko A, Austin RM. Histologic Follow-up Results in 662 Patients with Pap Test Findings of Atypical Glandular Cells: Results From a Large Academic Womens Hospital Laboratory Employing Sensitive Screening Methods. Gynecol Oncol. 2009 Sep;114(3):381-2.

Rohit Bhargava, Joan Striebel, Sushil Beriwal, John C. Flickinger, Agnieszka Onisko, Gretchen Ahrendt and David J. Dabbs. Prevalence, Morphologic Features and Proliferation Indices of Breast Carcinoma Molecular Classes Using Immunohistochemical Surrogate Markers. Int J Clin Exp Pathol 2(5), 444-455; 2009.

R. Marshall Austin, Agnieszka Onisko and Marek J. Druzdzel. Bayesian network model analysis as a quality control and risk assessment tool in cervical cancer screening. Journal of Lower Genital Tract Disease, 12(2):160-161, 2008.

R. Marshall Austin, Agnieszka Onisko and Marek J. Druzdzel. The Pittsburgh Cervical Cancer Screening Model. Cancer Cytopathology, 114(S5):345, October 2008.

Marek J. Druzdzel and Agnieszka Onisko. The Impact of Overconfidence Bias on Practical Accuracy of Bayesian Network Models: An Empirical Study. In Working Notes of the 2008 Bayesian Modelling Applications Workshop, Special Theme: How Biased Are Our Numbers? Part of the Annual Conference on Uncertainty in Artificial Intelligence (UAI-2008), Helsinki, Finland, 9 July 2008.

Marek J. Druzdzel and Agnieszka Onisko. Are Bayesian Networks Sensitive to Precision of Their Parameters? In S.T. Wierzchon, M. Klopotek, and M. Michalewicz (eds.), Intelligent Information Systems XVI, Proceedings of the International IIS'08 Conference, pages 35-44, Academic Publishing House EXIT, Warsaw, Poland, June 2008.
Agnieszka Oniśko. Medical Diagnosis, In Patrick Naim, Olivier Pourret, and Bruce Marcot(eds), Bayesian Networks: A Practical Guide to Applications, Wiley & Sons, March, 2008, pages 15-32.

Agnieszka Oniśko. Knowledge Acquisition from Human Experts for Building Bayesian Network Models. Zeszyty Naukowe Politechniki Białostockiej: Metody eksploracji i reprezentacji danych, pages 109-120, No 2, 2007.

Jarosław Makal, Agnieszka Oniśko, Andrzej Nazarkiewicz.  The medical signals acquisition and management system for computer-aid of prostate cancer diagnosis, IEEE Instrumentation and Measurement Technology: Synergy of Science and Technology in Instrumentation and Measurement: conference proceedings, IEEE. Instrumentation and Measurement Society, Warszwa, May 1-3, 2007.

Jarosław Makal, Andrzej Nazarkiewicz, Robert Kozłowski, Agnieszka Oniśko, Adam Idźkowski. Internetowa baza danych pacjentów cierpiących na dolegliwości dolnych dróg moczowych (The interactive data base of patients with lower urinary tract symptoms). Urologia Polska, T.60, supl.1 (2007),  s.51. XXXVII Kongres Naukowy Polskiego Towarzystwa Urologicznego, Warszawa, czerwiec, 2007.

Carmen Lacave, Agnieszka Oniśko, and Francisco J. Díez. Use of Elvira's explanation facility for debugging probabilistic expert systems. Knowledge-Based Systems, Elsevier, vol. 19(8), pages 730-738, 2006.

Agnieszka Oniśko, Garrick L. Wallstrom, and Michael M. Wagner. Decision Analysis. In Handbook of Biosurveillance. ed. M. Wagner, A. Moore, and R. Aryel. New York, Elsevier, pages 405-417, 2006.

Michael M. Wagner, Garrick Wallstrom and Agnieszka Onisko. Issue a Boil-Water Advisory or Wait for Definitive Information?  A Decision Analysis. In Proceedings of the 2005 Annual Symposium of the American Medical Informatics Association (AMIA-2005), Washington, D.C., October 22-26, 2005.

Jaroslaw Makal, Andrzej Nazarkiewicz, Agnieszka Oniśko, Piotr Orzechowski. Expert system for diagnosis of Benign Prostatic Hyperplasia. Journal of Automation and Measurements (in Polish) No. 7/8, pages 193-196, 2004.

Agnieszka Oniśko and Marek J. Druzdzel. Effect of Imprecision in Probabilities on Bayesian Network Models: An Empirical Study.  AIME Workshop on Model-based and Qualitative Reasoning in Biomedicine, Protaras, Cyprus, October, 2003.

Agnieszka Oniśko. Probabilistic Causal Models in Medicine: Application to Diagnosis of Liver Disorders. Ph.D. Dissertation, Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Science, Warsaw, March 2003.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk: Uczenie parametrów sieci bayesowskich z danych z wykorzystaniem bramek "Noisy-Or" (in Polish). In: Badania operacyjne i systemowe wobec wyzwań XXI wieku, pod red. Zdzisława Bubnickiego, Olgierda Hryniewicza, Romana Kulikowskiego, Akademicka Oficyna Wydawnicza EXIT, Warszawa 2002, Seria: Problemy współczesnej nauki. Teoria i zastosowania, strony: IV:19-26.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk: An experimental comparison of methods for handling incomplete data learning parameters of Bayesian networks, Intelligent Information Systems 2002: Proceedings of the [XI] IIS'2002 Symposium eds. Mieczysław A. Kłopotek, Maciej Michalewicz, Sławomir T. Wierzchoń; Polish Academy of Sciences Heidelberg Physica-Verlag, Advances in Soft Computing, Sopot,  June 3-6, 2002, pages: 351-360.

Agnieszka Oniśko, Leon Bobrowski, Marek J. Druzdzel, and Hanna Wasyluk. HEPAR I HEPAR II – komputerowe systemy wspomagające diagnozowanie chorób wątroby (In Polish). The Twelfth Conference of Biocybernetics and Biomedical Engineering, pages 625-629, Warsaw, Poland, November 28-30, 2001 (Best Young Investigator Paper award).

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. Learning Bayesian Network Parameters from Small Data Sets: Application of Noisy-OR Gates. International Journal of Approximate Reasoning, Vol. 27/2, pages: 165-182, 2001.

Agnieszka Oniśko, Peter Lucas, and Marek J. Druzdzel. Comparison of Rule-based and Bayesian Network Approaches in Medical Diagnostic Systems. In Proceedings of the Eighth Conference on Atrificial Intelligence in Medicine (AIME-2001), Lecture Notes in AI, pages 281-292, Cascais, Portugal, July, 1-4, 2001.

Agnieszka Oniśko. Evaluation of the HEPAR II system for diagnosis of liver disorders. Notes on the AIME Workshop: Bayesian Models in Medicine, Cascais, Portugal, July, 1, 2001.

Carmen Lacave, Agnieszka Oniśko, and Javier Diez. Debugging medical Bayesian networks with Elvira's explanation facility. Notes on the AIME Workshop: Bayesian Models in Medicine, Cascais, Portugal, July, 1, 2001.

Hanna Wasyluk, Agnieszka Oniśko and Marek J. Druzdzel. Support of Diagnosis of Liver Disorders based on a Causal Bayesian Network Model. Medical Science Monitor, Vol. 7 (Suppl. 1), May, 2001.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. Learning Bayesian Network Parameters from Small Data Sets: Application of Noisy-OR Gates. Notes on the ECAI Workshop: Bayesian and Causal Networks: From Inference to Data Mining, Berlin, Germany, August, 22, 2000.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. Extension of the HEPAR II  Model to Multiple-Disorder Diagnosis. In Advances in Soft Computing, pages 303-313, Physica-Verlag, Heidelberg, New York, 2000.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. A Bayesian Network Model for Diagnosis of Liver Disorders. The Eleventh Conference of Biocybernetics and Biomedical Engineering, pages 842-846, Warsaw, Poland, December 2-4, 1999 (Best Young Investigator Paper award).

Marek J. Druzdzel, Agnieszka Oniśko, Daniel Schwartz, John N. Dowling, and Hanna Wasyluk. Knowledge engineering for very large decision-analytic medical models. Research Report CBMI-99-26, Center for Biomedical Informatics, University of Pittsburgh, September 1999 (a full version of the short paper published in AMIA-99).

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. A Bayesian network model for diagnosis of liver disorders. Research Report CBMI-99-27, Center for Biomedical Informatics, University of Pittsburgh, September 1999.

Marek J. Druzdzel, Agnieszka Oniśko, Daniel Schwartz, John N. Dowling, and Hanna Wasyluk. Knowledge engineering for very large decision-analytic medical models. In Proceedings of the 1999 Annual Symposium of the American Medical Informatics Association (AMIA-1999), Washington, D.C., November 6-10, 1999.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. Graphical probabilistic models in diagnosis of liver disorders. In Working notes of the Third International Seminar on Statistics and Clinical Practice (45th Seminar of the International Center of Biocybernetics), Warsaw, Poland, June 24-27, 1998.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. A probabilistic causal model for diagnosis of liver disorders. In Proceedings of the Seventh Symposium on Intelligent Information Systems (IIS-98), pages 379-387, Malbork, Poland, June 15-19, 1998.

Agnieszka Oniśko, Marek J. Druzdzel, and Hanna Wasyluk. Application of Bayesian belief networks to diagnosis of liver disorders. InProceedings of the Third Conference on Neural Networks and Their Applications, pages 730-736, Kule, Poland, October 14-18, 1997.