User profiles for Agnieszka Onisko
Agnieszka OniskoAssociate 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 …
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 …
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 …
OBJECTIVE: Atypical glandular cell (AGC) Pap interpretations and screening for glandular
neoplasias remain major challenges. We document the largest reported AGC histopathologic …
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 …
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 …
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) …
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
Objectives Cervical screening strives to prevent cervical cancer (CxCa), minimizing
morbidity and mortality. Most large US reports on cytology and human papillomavirus (HPV) …
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 …
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 …
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 …
representation of and reasoning with uncertain knowledge. They are based on the sound …