User profiles for Agnieszka Onisko

Agnieszka Onisko

Associate Professor at Faculty of Computer Science, Bialystok University of Technology …
Verified email at pb.edu.pl
Cited by 1909

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

A Oniśko, MJ Druzdzel, H Wasyluk - International Journal of Approximate …, 2001 - Elsevier
Existing data sets of cases can significantly reduce the knowledge engineering effort
required to parameterize Bayesian networks. Unfortunately, when a data set is small, many …

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

…, S Beriwal, JC Flickinger, A Onisko… - … journal of clinical and …, 2009 - ncbi.nlm.nih.gov
There is dearth of studies that provide a practical working formulation of breast cancer gene
expression analysis for the surgical pathologist. ER, PR, HER2 were used as surrogate …

Histologic follow-up results in 662 patients with Pap test findings of atypical glandular cells: results from a large academic womens hospital laboratory employing …

C Zhao, A Florea, A Onisko, RM Austin - Gynecologic oncology, 2009 - Elsevier
OBJECTIVE: Atypical glandular cell (AGC) Pap interpretations and screening for glandular
neoplasias remain major challenges. We document the largest reported AGC histopathologic …

PhageAI-bacteriophage life cycle recognition with machine learning and natural language processing

…, J Kazimierczak, M Jadczuk, J Dastych, A Onisko - BioRxiv, 2020 - biorxiv.org
Background As antibiotic resistance is becoming a major problem nowadays in a treatment
of infections, bacteriophages (also known as phages) seem to be an alternative. However, to …

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

A Oniśko, MJ Druzdzel - Artificial intelligence in medicine, 2013 - Elsevier
OBJECTIVE: One of the hardest technical tasks in employing Bayesian network models in
practice is obtaining their numerical parameters. In the light of this difficulty, a pressing …

Contributions of liquid-based (Papanicolaou) cytology and human papillomavirus testing in cotesting for detection of cervical cancer and precancer in the United …

…, DP Alagia, Z Chen, A Onisko… - American journal of …, 2020 - academic.oup.com
Objectives Given the recent debate challenging the contribution of cytology in cervical
screening, we evaluated results of liquid-based cytology (LBC) and human papillomavirus (HPV) …

Enhanced detection of cervical cancer and precancer through use of imaged liquid-based cytology in routine cytology and HPV cotesting

RM Austin, A Onisko, C Zhao - American Journal of Clinical …, 2018 - academic.oup.com
Objectives Cervical screening strives to prevent cervical cancer (CxCa), minimizing
morbidity and mortality. Most large US reports on cytology and human papillomavirus (HPV) …

[PDF][PDF] Genierate: An interactive generator of diagnostic bayesian network models

P Kraaijeveld, M Druzdzel, A Onisko… - Proc. 16th Int. Workshop …, 2005 - Citeseer
Constructing diagnostic Bayesian network models is a complex and time consuming task. In
this thesis, we propose a methodology to simplify and speed up the design of very large …

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

BZ Clark, A Onisko, B Assylbekova, X Li, R Bhargava… - Modern Pathology, 2019 - Elsevier
Biomarker analysis of invasive breast carcinoma is useful for prognosis, as surrogate for
molecular subtypes of breast cancer, and prediction of response to adjuvant and neoadjuvant …

[PDF][PDF] A probabilistic causal model for diagnosis of liver disorders

A Onisko, MJ Druzdzel, H Wasyluk - Proceedings of the Seventh …, 1998 - researchgate.net
Directed probabilistic graphs, such as Bayesian networks, are useful tools for coherent
representation of and reasoning with uncertain knowledge. They are based on the sound …