User profiles for F. Polubriaginof

Fernanda CG Polubriaginof, MD PhD

Associate Chief Health Informatics Officer, Memorial Sloan Kettering Cancer Center
Verified email at caa.columbia.edu
Cited by 1305

The role of chemoprevention in modifying the risk of breast cancer in women with atypical breast lesions

…, J Sharko, AK Belli, EMH Kim, F Polubriaginof… - Breast cancer research …, 2012 - Springer
Women with atypical ductal hyperplasia (ADH), atypical lobular hyperplasia (ALH), lobular
carcinoma in situ (LCIS), and severe ADH are at increased risk of breast cancer, but a …

Machine learning: novel bioinformatics approaches for combating antimicrobial resistance

N Macesic, F Polubriaginof… - Current opinion in …, 2017 - journals.lww.com
Application of machine learning to studying AMR is feasible but remains limited.
Implementation of machine learning in clinical settings faces barriers to uptake with …

Challenges with quality of race and ethnicity data in observational databases

FCG Polubriaginof, P Ryan, H Salmasian… - Journal of the …, 2019 - academic.oup.com
Objective We sought to assess the quality of race and ethnicity information in observational
health databases, including electronic health records (EHRs), and to propose patient self-…

Using machine learning to parse breast pathology reports

…, JM Buckley, SB Coopey, F Polubriaginof… - Breast cancer research …, 2017 - Springer
… While we expect F-scores to be lower as reports from different institutions may have different
formats or linguistic creations, we also expect that this will improve over time. It should also …

[HTML][HTML] The feasibility of using natural language processing to extract clinical information from breast pathology reports

…, SB Coopey, J Sharko, F Polubriaginof… - Journal of pathology …, 2012 - Elsevier
Objective: The opportunity to integrate clinical decision support systems into clinical practice
is limited due to the lack of structured, machine readable data in the current format of the …

[HTML][HTML] Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

N Shang, A Khan, F Polubriaginof, F Zanoni… - Npj Digital …, 2021 - nature.com
Chronic Kidney Disease (CKD) represents a slowly progressive disorder that is typically
silent until late stages, but early intervention can significantly delay its progression. We …

[HTML][HTML] Rapid deployment of virtual mind-body interventions during the COVID-19 outbreak: feasibility, acceptability, and implications for future care

…, S Latte-Naor, FCG Polubriaginof… - Supportive Care in …, 2021 - Springer
Introduction COVID-19 increased stress levels while reducing access to mind-body services
in patients with cancer. We describe the rapid deployment of remotely delivered mind-body …

[HTML][HTML] Challenges with collecting smoking status in electronic health records

F Polubriaginof, H Salmasian, DA Albert… - AMIA Annual …, 2017 - ncbi.nlm.nih.gov
Smoking is the leading cause of preventable death in the United States. Obtaining patients’
smoking status is the first step in delivering smoking cessation counseling. In this study, we …

[PDF][PDF] Disease heritability inferred from familial relationships reported in medical records

FCG Polubriaginof, R Vanguri, K Quinnies, GM Belbin… - Cell, 2018 - cell.com
Heritability is essential for understanding the biological causes of disease but requires
laborious patient recruitment and phenotype ascertainment. Electronic health records (EHRs) …

Oncologist perspectives on telemedicine for patients with cancer: a national comprehensive cancer network survey

…, W Arafat, J Smerage, FCG Polubriaginof… - JCO oncology …, 2021 - ascopubs.org
PURPOSE: The use of telemedicine expanded dramatically in March 2020 following the
COVID-19 pandemic. We sought to assess oncologist perspectives on telemedicine's present …