A. Onisko

发表

Individualized Bayesian Risk Assessment for Cervical Squamous Neoplasia

R. M. Austin, Lama Farchoukh, A. Onisko, 2020, Journal of pathology informatics.

Enhanced Detection of Cervical Cancer and Precancer Through Use of Imaged Liquid-Based Cytology in Routine Cytology and HPV Cotesting

Chengquan Zhao, R. M. Austin, A. Onisko, 2018, American journal of clinical pathology.

Application of Bayesian network modeling to pathology informatics

Marek J Druzdzel, R. M. Austin, A. Onisko, 2018, Diagnostic cytopathology.

The Pittsburgh Cervical Cancer Screening Model: a risk assessment tool.

Marek J Druzdzel, R. M. Austin, A. Onisko, 2010, Archives of pathology & laboratory medicine.

Application of Dynamic Bayesian Networks to cervical cancer screening

Marek J Druzdzel, R. M. Austin, A. Onisko, 2009 .

CHAPTER 29 – Decision Analysis

G. Wallstrom, M. Wagner, A. Onisko, 2006 .

Effect of Imprecision in Probabilities on Bayesian Network Models : An Empirical Study

A. Onisko, 2003 .

Are CIN3 risk or CIN3+ risk measures reliable surrogates for invasive cervical cancer risk?

Chengquan Zhao, R. M. Austin, A. Onisko, 2020, Journal of the American Society of Cytopathology.

Impact of Quality of Bayesian Network Parameters on Accuracy of Medical Diagnostic Systems

Marek J Druzdzel, A. Onisko, 2011 .

Cotesting in Cervical Cancer Screening

R. M. Austin, J. Andrews, A. Onisko, 2020, American journal of clinical pathology.

Effects of Hydrochloric Acid and Formic Acid Decalcification on Breast Tumor Biomarkers and HER2 Fluorescence In Situ Hybridization

D. Dabbs, A. Onisko, B. Clark, 2017, Applied immunohistochemistry & molecular morphology : AIMM.

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.

Chengquan Zhao, R. M. Austin, A. Onisko, 2009, Gynecologic oncology.

In Proceedings of the Third Conference on Neural Networks and Their Applications,

Marek J Druzdzel, A. Onisko, 2007 .

Issue a Boil-Water Advisory or Wait for Definitive Information? A Decision Analysis

Agnieszka Onisko, Michael M. Wagner, Garrick L. Wallstrom, 2005, AMIA.

Immunohistochemistry and HPV in situ Hybridization in Pathologic Distinction Between Endocervical and Endometrial Adenocarcinoma: A Comparative Tissue Microarray Study of 76 Tumors

S. Chiosea, D. Dabbs, R. Bhargava, 2012, International Journal of Gynecologic Cancer.

Immunohistochemical Markers With Potential Diagnostic, Prognostic, and Therapeutic Significance in Uterine Carcinosarcoma: A Clinicopathologic Study of 43 Cases

D. Dabbs, R. Bhargava, D. Pradhan, 2019, International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists.

Learning Bayesian network parameters from small data sets: application of Noisy-OR gates

Marek J. Druzdzel, Hanna Wasyluk, Agnieszka Onisko, 2001, Int. J. Approx. Reason..

PhageAI - Bacteriophage Life Cycle Recognition with Machine Learning and Natural Language Processing

Agnieszka Onisko, Piotr Tynecki, Arkadiusz Guziński, 2020, bioRxiv.

Pathologist's health‐care value in the triage of Oncotype DX® testing: a value‐based pathology study of tumour biology with outcomes

D. Dabbs, R. Bhargava, A. Brufsky, 2018, Histopathology.

Prevalence, morphologic features and proliferation indices of breast carcinoma molecular classes using immunohistochemical surrogate markers.

J. Flickinger, D. Dabbs, R. Bhargava, 2009, International journal of clinical and experimental pathology.

Breast cancer global tumor biomarkers: a quality assurance study of intratumoral heterogeneity

D. Dabbs, R. Bhargava, A. Onisko, 2018, Modern Pathology.

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.

Chengquan Zhao, R. M. Austin, A. Onisko, 2011, Gynecologic oncology.

Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems

Marek J. Druzdzel, Agnieszka Onisko, Marek J Druzdzel, 2013, Artif. Intell. Medicine.

Negative Predictive Value and Significance of Benign-Appearing Endometrial Cells in Papanicolaou Tests

R. M. Austin, A. Onisko, Jing Yu, 2017, American journal of clinical pathology.

How to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling

Marek J. Druzdzel, Agnieszka Onisko, Marek J Druzdzel, 2016, Journal of pathology informatics.

Impact of Bayesian Network Model Structure on the Accuracy of Medical Diagnostic Systems

Marek J. Druzdzel, Agnieszka Onisko, Marek J Druzdzel, 2014, ICAISC.

A Probabilistic Causal Model for Diagnosis of Liver Disorders

Marek J. Druzdzel, Hanna Wasyluk, Agnieszka Onisko, 2005 .

Effect of Imprecision in Probabilities on Bayesian Network Models : An Empirical Study

A. Onisko, 2003 .

Extension of the HEPAR II Model to Multiple-Disorder Diagnosis

Hanna Wasyluk, Agnieszka Onisko, Marek Druzdezel, 2000, Intelligent Information Systems.

A Bayesian Network Model for Diagnosis of Liver Disorders

Marek J. Druzdzel, Hanna Wasyluk, Agnieszka Onisko, 1999 .

Contributions of Liquid-Based (Papanicolaou) Cytology and Human Papillomavirus Testing in Cotesting for Detection of Cervical Cancer and Precancer in the United States

R. M. Austin, A. Onisko, Zhen Chen, 2020, American journal of clinical pathology.

PROBABILISTIC GRAPHICAL MODEL SUPPORTING EARLY DIAGNOSIS OF AUTISM SPECTRUM DISORDER

J. Szczygieł, A. Oniśko, J. Świderska, 2014 .

Knowledge acquisition from human experts for building bayesian network models

A. Oniśko, A. Onisko, 2007 .

Use of Elvira's explanation facility for debugging probabilistic expert systems

Agnieszka Onisko, Carmen Lacave, Francisco Javier Díez, 2006, Knowl. Based Syst..

Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems

Marek J. Druzdzel, Peter J. F. Lucas, Agnieszka Onisko, 2001, AIME.

Knowledge Engineering for Very Large Decision-analytic Medical Models

Marek J. Druzdzel, Hanna Wasyluk, Agnieszka Onisko, 1999, AMIA.

A validation study of quantum dot multispectral imaging to evaluate hormone receptor status in ductal carcinoma in situ of the breast.

J. Fine, S. Monaco, D. Dabbs, 2013, Human pathology.

WHY IS IT ESSENTIAL TO KEEP THE PAP? BECAUSE THEY’RE WORTH IT

A. Onisko, Zhen Chen, H. Kaufman, 2022 .

Increased cervical cancer risk associated with extended screening intervals after negative human papillomavirus test results: Bayesian risk estimates using the Pittsburgh Cervical Cancer Screening Model.

Agnieszka Onisko, R. Marshall Austin, R. M. Austin, 2016, Journal of the American Society of Cytopathology.

Economic Studies in Biosurveillance

M. Wagner, Bruce Y. Lee, A. Onisko, 2006, Handbook of Biosurveillance.

Prediction and Prognosis of Health and Disease

Marek J. Druzdzel, Allan Tucker, Agnieszka Onisko, 2015, Foundations of Biomedical Knowledge Representation.

A. Onisko, R. Marshall Austin, 2016, Journal of the American Society of Cytopathology.

Support of diagnosis of liver disorders based on a causal Bayesian network model.

Marek J Druzdzel, H Wasyluk, A. Onisko, 2001, Medical science monitor : international medical journal of experimental and clinical research.