Fernanda Polubriaginof

Learn More
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 electronic health record. Natural language processing has been designed to convert free text into machine readable data. The aim of the current study was to ascertain the(More)
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 systematic quantification of this risk and the efficacy of chemoprevention in the clinical setting is still lacking. The objective of this study is to evaluate a woman's risk of(More)
Extracting information from electronic medical record is a time-consuming and expensive process when done manually. Rule-based and machine learning techniques are two approaches to solving this problem. In this study, we trained a machine learning model on pathology reports to extract pertinent tumor characteristics, which enabled us to create a large(More)
The aim of this study was to investigate the influence of age at diagnosis of atypical hyperplasia (“atypia”, ductal [ADH], lobular [ALH], or severe ADH) on the risk of developing subsequent invasive breast cancer or ductal carcinoma in situ (DCIS). Using standard survival analysis methods, we retrospectively analyzed 1353 women not treated with(More)
Engaging patients in their care has become a topic of increasing importance, and enabling patients to have access to their clinical data is a key aspect of such engagement. To investigate on an international scale the current state of approaches for providing patients with access to their own clinical information, individuals from 16 countries, across six(More)
BACKGROUND The risk of breast cancer in young women diagnosed with atypical hyperplasia and (LCIS) is not well defined. The objectives were to evaluate outcomes and to help determine guidelines for follow-up in this population. METHODS A retrospective review of women under age 35 diagnosed with ADH, ALH, LCIS, and severe ADH from 1987 to 2010 was(More)
OBJECTIVE Engaging patients in their care has become a topic of increasing importance, and enabling patients to have access to their clinical data is a key aspect of such engagement. We investigated, on an international scale, the current state of approaches for providing patients with access to their own clinical information. METHODS Individuals from 28(More)
BACKGROUND Patients who are better informed and more engaged in their health care have higher satisfaction with health care and better health outcomes. While patient engagement has been a focus in the outpatient setting, strategies to engage inpatients in their care have not been well studied. We are undertaking a study to assess how patients' information(More)
CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not. Abstract Heritability is a fundamental characteristic of human disease essential to the development of a biological understanding of the causes of disease. Traditionally, heritability studies are a(More)