My CV

Publications


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


Journal papers:


Agnieszka Onisko, Marek J. Druzdzel, R. Marshall Austin. How to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling. Journal of Pathology Informatics, 2016;7:50.

 

R. Marshall Austin, Agnieszka Onisko. Increased Cervical Cancer Risk Associated with Extended Screening Intervals after Negative Human Papilloma Virus (HPV) Test Results: Bayesian Risk Estimates using the Pittsburgh Cervical Cancer Screening Model. Journal of American Society of Cytopathology, 5(1):9-14, Jan-Feb 2016.

 

Justyna Szczygiel, Agnieszka Onisko, Jolanta Swiderska, Elzbieta Krysiewicz, Jerzy Sienkiewicz. Probabilistic graphical model supporting early diagnosis of autism spectrum disorder, Advances in Computer Science Research, 11:151-164, 2014.


Agnieszka Onisko, Marek J. Druzdzel.
Impact of Precision of Bayesian Networks Parameters on Accuracy of Medical Diagnostic Systems, Artificial Intelligence in Medicine, 57(3):197-206, 2013.

Mirka W. Jones, Agnieszka Onisko, David J. Dabbs, Esther Elishaev and Rohit Bhargava. Immunohistochemistry and HPV in situ hybridization in distinction between endocervical and endometrial adenocarcinoma: A comparative tissue microarray study of 76 tumors, International Journal of Gynecological Cancer, 23(2):380-4
, 2013.

Jing Yu, Sara E. Monaco, Agneiszka Onisko, Rohit Bhargava, David J. Dabbs, Kathleen M. Cieply, Jeffrey L. Fine. A Validation Study of Quantum Dot Multispectral Imaging to Evaluate Hormone Receptor Status in Ductal Carcinoma In Situ (DCIS) of the Breast, Human Pathology, 44(3):394-401, 2013.

Zhao C, Chen X, Onisko A, Kanbour A, Austin RM. Follow-up outcomes for a large cohort of US women with negative imaged liquid-based cytology findings and positive high risk human papillomavirus test results. Gynecol Oncol. Aug;122(2):291-6, 2011.

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

Agnieszka Oniśko. Application of dynamic Bayesian networks to risk assessment in medicine.
Zeszyty Naukowe Politechniki Białostockiej. Informatyka, pages 35-49, No 5, 2010.

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. Sep;114(3):381-2, 2009.

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.

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.

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.

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, 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.

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: 327-32, May, 2001.


Journal abstracts:

David J. Dabbs, Agnieszka Onisko, Binara Assylbekova, Xin Li, Rohit Bhargava, Beth Z. Clark.  Breast Cancer Global Tumor Biomarkers: A Quality Assurance Study of Intratumor Heterogeneity, United States and Canadian Academy of Pathology’s 106th Annual Meeting, March 4-10, 2017, San Antonio, TX, USA.

Dinesh Pradhan, David J. Dabbs, Rohit Bhargava, Agnieszka Onisko, Michelle Stram, Mirka W. Jones.  Expression of PD-L1 and GHRH-R in Uterine Carcinosarcoma: Potential Markers for Targeted Therapy, United States and Canadian Academy of Pathology’s 106th Annual Meeting, March 4-10, 2017, San Antonio, TX, USA.

Dinesh Pradhan, David J. Dabbs, Rohit Bhargava, Agnieszka Onisko, Michelle Stram, Mirka W. Jones. Clinical and Immunohistochemical Study of Uterine Carcinosarcoma in a Large Academic Women Center, American Society for Clinical Pathology (ASCP) Annual Meeting, September 14-16, Las Vegas, NV, USA, American Journal of Clinical Pathology, 146, sup. 1, page: 308, 2016.

Jing Yu, Agnieszka Onisko, and R. Marshall Austin. Bethesda System Reporting of Benign-Appearing Endometrial Cells in Women 40 and Older: Analysis of Predictive Value from a Large Academic Women's Hospital Database, United States and Canadian Academy of Pathology’s 105th Annual Meeting, March 12-18, Seattle, WA, USA, Laboratory Investigation 96: 123A, 2016.

Mirka W. Jones, Michelle Stram, Agnieszka Onisko, Rohit Bhargava, David J. Dabbs. The Use of Immunohistochemistry in Distinction between Clear Cell and Squamous Differentiation in Adenocarcinoma of the Endometrium, United States and Canadian Academy of Pathology’s 105th Annual Meeting, March 12-18, Seattle, WA, USA, Laboratory Investigation 96: 311A-312A, 2016.

Gabriela Quiroga Garza, Agnieszka Onisko, and R. Marshall Austin. Verification bias-adjusted Cervical Screening Test Sensitivity for Histopathologic High Grade Cervical Intraepithelial Neoplasia and Cervical Cancer in a Large Academic Womens Hospital Laboratory, United States and Canadian Academy of Pathology’s 103rd Annual Meeting, March 1-7, 2014, San Diego, CA, USA, Laboratory Investigation, vol. 94, sup. 1, pages: 117A.

Erika Rodriguez, Agnieszka Onisko, and R. Marshall Austin. The Pittsburgh Cervical Cancer Screening Model Indicates That Patient History Significantly Impacts Future Cervical Cancer Risk in Patients with Current Negative HPV Results, United States and Canadian Academy of Pathology’s 102nd Annual Meeting, March 2-8, 2013, Baltimore, MD, USA.

Gabriela Quiroga Garza, Agnieszka Onisko, and R. Marshall Austin.Verification bias-adjusted Cervical Screening Test Sensitivity for Histopathologic High Grade Cervical Intraepithelial Neoplasia and Cervical Cancer in a Large Academic Womens Hospital Laboratory, United States & Canadian Academy of Pathology’s 103rd  Annual Meeting, March 1-7, 2014, San Diego, CA, USA.

Mirka W. Jones, Giuliana Trucco, Agnieszka Onisko, Rohit Bhargava, David J. Dabbs. PTEN and P16 Expression Highlights Atypia and Malignant Transformation in Smooth Muscle Tumors of the Uterus, United States and Canadian Academy of Pathology’s 102nd Annual Meeting, March 2-8, 2013, Baltimore, MD, USA.

R. Marshall Austin, Agnieszka Oniśko, Marek J. Druzdzel. Patient History Dependent Risk Assessments for Cervical Pre-cancer and Invasive Cancer Using the Pittsburgh Cervical Cancer Screening Model, Journal of the American Society of Cytopathology, vol. 1, issue 1, Supplement, pages S3-S4, November 2012.

Frank Schneider, Agnieszka Oniśko, R. Murali. Diagnostic Certainty of a Mesothelioma Diagnosis Based on Immunophenotype, Modern Pathology, vol. 25, Supplement 2, page 490A, February 2012.

Chengquan Zhao, Xiangbai Chen, Baoying Weng, Agnieszka Oniśko, R. Marshall Austin. Analysis of 70,123 Negative Pap Tests with high risk HPV co-test Results, CytoJournal, vol. 8, issue 1, November 2011, page 16.

Liron Pantanowitz, Agnieszka Oniśko, R. Marshall Austin. Screening for Cervical Cancer Using Data, Critical Values Magazine of American Society for Clinical Pathology, vol. 4, issue 2, April 2011, pages 20-22.

J. Picarsic, A. Brufsky, Agnieszka Oniśko, M. Chivukula. Predictors of invasive breast cancer or DCIS recurrence in estrogen receptor positive (ER+) and estrogen receptor negative (ER-) ductal carcinoma in situ (DCIS) patients with and without associated invasive carcinoma (IC), Journal of Clinical Oncology, vol 27, no 15S, May 20 Supplement, 2009.

R. Marshall Austin, Agnieszka Oniśko, Marek J. Druzdzel. The Pittsburgh Cervical Cancer Screening Model, Cancer Cytopathology, vol. 114, issue 5, October 2008, supplement, page 345.

Amal Kanbour-Shakir, Agnieszka Oniśko, R. Marshall Austin. High Risk HPV Test Results Preceding 500 Cases of Biopsy Proven High Grade Cervical Squamous Dysplasia (CIN 2/3), Cancer Cytopathology, vol. 114, issue 5, October 2008, supplement, page 345-346.

R. Marshall Austin, Agnieszka Oniśko, Marek J. Druzdzel. Bayesian Network Model Analysis as a Quality Control and Risk Assessment Tool in Cervical Cancer Screening. 2008 Biennial Meeting of ASCCP. Meeting Abstracts, Journal of Lower Genital Tract Disease. 12(2):153-179, April 2008.

MW Jones, A Oniśko, DJ Dabbs, E Elishaev and R Bhargava. The value of immunohistochemistry in distinction between endocervical adenocarcinoma and adenocarcinoma of endometrium, endometrioid type. A comparative tissue microarray study of 76 cases. Histopathol. 2008;53 (supplement 1):1-432. Abstract 427.

Rohit Bhargava, Joan Striebel, Agnieszka Oniśko, Kim McManus, David J Dabbs. Ki-67 labeling index in breast carcinoma: An immunohistochemical study with correlation to molecular subtypes. Journal of Clinical Oncology. 2008; 26: May 20 supplement-Abstract 22107.

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.


Book chapters:

Agnieszka Onisko and R. Marshall Austin. Dynamic Bayesian Network for Cervical Cancer Screening, In Peter J.F. Lucas and Arjen Hommersom(eds), Foundations of Biomedical Knowledge Representations. Methods and Applications, Springer, Lectures Notes in Artificial Intelligence 9521, pages 207-218, 2015.

Agnieszka Onisko, Allan Trucker, and Marek J. Druzdzel. Prediction and Prognosis of Health and Disease, In Peter J.F. Lucas and Arjen Hommersom(eds), Foundations of Biomedical Knowledge Representations. Methods and Applications, Springer, Lectures Notes in Artificial Intelligence 9521, pages 181-188, 2015.

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, 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.

Garrick Wallstrom, Michael M. Wagner, Agnieszka Oniśko. Probabilistic interpretation of surveillance data. In Handbook of Biosurveillance. ed. M. Wagner, A. Moore, and R. Aryel. New York, Elsevier, pages 417-422, 2006.

Bruce Y. Lee, Michael M. Wagner, Agnieszka Oniśko, Vahan Grigoryan. Economic Studies in Biosurveillance. In Handbook of Biosurveillance. ed. M. Wagner, A. Moore, and R. Aryel. New York, Elsevier, pages 423-435, 2006.


Major peer reviewed conferences:

Agnieszka Onisko, Marek J. Druzdzel: Impact of Bayesian network model structure on the accuracy of medical diagnostic systems, Proceedings of 13th International Conference on Artificial Intelligence and Soft Computing (ICAISC’2014), eds. Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lofti A. Zadeh, Jacek M. Zurada, Heidelberg, Springer, Lecture Notes in Computer Science, Vol. 8467, pages 167-178, Zakopane, June 1-5, 2014.

Michael M. Wagner, Garrick Wallstrom and Agnieszka Oniśko. 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.

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, 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.



Other reviewed conferences and workshops (selected):

Agnieszka Onisko. Modeling Uncertain Medical Knowledge with Bayesian Networks: Engineering and Applications. In Lecture Notes of the ICB Seminar. 147th ICB Seminar. Tenth International Seminar Statistics and Clinical Practice, pages: 57-61, Warsaw, May 15-18, 2016.

Agnieszka Oniśko and Marek J. Druzdzel. Impact of Quality of Bayesian Networks Parameters on Accuracy of Medical Diagnostic Systems: An Empirical Study. In Working Notes of the Workshop Probabilistic Models in Biomedicine. European Conference on Artificial Intelligence in Medicine (AIME-11), Bled, Slovenia, 2011.

Marek J. Druzdzel and Agnieszka Oniśko. 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 Oniśko. 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.

Jarosław Makal, Agnieszka Oniśko, Andrzej NazarkiewiczThe 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.

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, 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, 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. 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.

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. 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).

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.