Search Results - "Espino, Sasa"

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  1. 1

    Using natural language processing and machine learning to identify breast cancer local recurrence by Zeng, Zexian, Espino, Sasa, Roy, Ankita, Li, Xiaoyu, Khan, Seema A, Clare, Susan E, Jiang, Xia, Neapolitan, Richard, Luo, Yuan

    Published in BMC bioinformatics (28-12-2018)
    “…Identifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural…”
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    Journal Article
  2. 2

    Preoperative magnetic resonance imaging use and oncologic outcomes in premenopausal breast cancer patients by Zeng, Zexian, Amin, Amanda, Roy, Ankita, Pulliam, Natalie E., Karavites, Lindsey C., Espino, Sasa, Helenowski, Irene, Li, Xiaoyu, Luo, Yuan, Khan, Seema A.

    Published in NPJ breast cancer (02-10-2020)
    “…Breast magnetic resonance imaging (MRI) delineates disease extent sensitively in newly diagnosed breast cancer patients, but improved cancer outcomes are…”
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    Journal Article
  3. 3

    Alphanumeric Paging: A Potential Source of Problems in Patient Care and Communication by Espino, Sasa, MD, Cox, Diane, MD, Kaplan, Brian, MD

    Published in Journal of surgical education (01-11-2011)
    “…Purpose In recent years, the use of numeric paging in many medical centers has been largely replaced by 1-way alphanumeric paging. There is currently no…”
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    Journal Article
  4. 4

    Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer by Zexian, Zeng, Ankita, Roy, Xiaoyu, Li, Sasa, Espino, Susan, Clare, Seema, Khan, Yuan, Luo

    “…Accurately identifying distant recurrences in breast cancer from the Electronic Health Records (EHR) is important for both clinical care and secondary…”
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    Conference Proceeding
  5. 5

    Evaluating Mastectomy Skin Flap Necrosis in the Extended Breast Reconstruction Risk Assessment Score for 1-Year Prediction of Prosthetic Reconstruction Outcomes by Hansen, Nora, Espino, Sasa, Blough, Jordan T., Vu, Michael M., Fine, Neil A., Kim, John Y.S.

    “…Rates of mastectomy for breast cancer treatment and immediate reconstruction continue to rise. With increasing scrutiny on outcomes and patient satisfaction,…”
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    Journal Article
  6. 6

    Contralateral Breast Cancer Event Detection Using Nature Language Processing by Zeng, Zexian, Li, Xiaoyu, Espino, Sasa, Roy, Ankita, Kitsch, Kristen, Clare, Susan, Khan, Seema, Luo, Yuan

    “…To facilitate the identification of contralateral breast cancer events for large cohort study, we proposed and implemented a new method based on features…”
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    Journal Article
  7. 7

    Identifying Breast Cancer Distant Recurrences from Electronic Health Records Using Machine Learning by Zeng, Zexian, Yao, Liang, Roy, Ankita, Li, Xiaoyu, Espino, Sasa, Clare, Susan E, Khan, Seema A, Luo, Yuan

    Published in Journal of healthcare informatics research (15-09-2019)
    “…Accurately identifying distant recurrences in breast cancer from the electronic health records (EHR) is important for both clinical care and secondary…”
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    Journal Article
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    Percutaneous endoscopic gastrostomy site metastasis from head and neck squamous cell carcinoma: case series and literature review by Huang, Andrew T, Georgolios, Alexandros, Espino, Sasa, Kaplan, Brian, Neifeld, James, Reiter, Evan R

    “…To present our experience with head and neck squamous cell carcinoma (HNSCC) seeding of percutaneous endoscopic gastrostomy (PEG) sites and to review all…”
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    Journal Article
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    Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer by Zeng, Zexian, Roy, Ankita, Li, Xiaoyu, Espino, Sasa, Clare, Susan, Khan, Seema, Luo, Yuan

    Published 12-06-2018
    “…Accurately identifying distant recurrences in breast cancer from the Electronic Health Records (EHR) is important for both clinical care and secondary…”
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    Journal Article