检索结果 - Tamang, Suzanne

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data 由 Gianfrancesco, Milena A., Tamang, Suzanne, Yazdany, Jinoos, Schmajuk, Gabriela

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New Paradigms for Patient-Centered Outcomes Research in Electronic Medical Records: An Example of Detecting Urinary Incontinence Following Prostatectomy 由 Hernandez-Boussard, Tina, Tamang, Suzanne, Blayney, Douglas, Brooks, Jim, Shah, Nigam

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Scalable Electronic Phenotyping For Studying Patient Comorbidities 由 Ling, Albee Y., Alsentzer, Emily, Chen, Josephine, Banda, Juan M., Tamang, Suzanne, Minty, Evan

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Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients 由 Mahbub, Maria, Srinivasan, Sudarshan, Danciu, Ioana, Peluso, Alina, Begoli, Edmon, Tamang, Suzanne, Peterson, Gregory D.

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Detecting Unplanned Care From Clinician Notes in Electronic Health Records 由 Tamang, Suzanne, Patel, Manali I., Blayney, Douglas W., Kuznetsov, Julie, Finlayson, Samuel G., Vetteth, Yohan, Shah, Nigam

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Enhanced Quality Measurement Event Detection: An Application to Physician Reporting 由 Tamang, Suzanne R., Hernandez-Boussard, Tina, Ross, Elsie Gyang, Gaskin, Gregory, Patel, Manali I., Shah, Nigam H.

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Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study 由 Tamang, Suzanne, Milstein, Arnold, Sørensen, Henrik Toft, Pedersen, Lars, Mackey, Lester, Betterton, Jean-Raymond, Janson, Lucas, Shah, Nigam

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Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data 由 Ling, Albee Y, Kurian, Allison W, Caswell-Jin, Jennifer L, Sledge, George W, Shah, Nigam H, Tamang, Suzanne R

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Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art 由 Harpaz, Rave, Callahan, Alison, Tamang, Suzanne, Low, Yen, Odgers, David, Finlayson, Sam, Jung, Kenneth, LePendu, Paea, Shah, Nigam H.

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Risk of primary gastrointestinal cancers following incident non-metastatic breast cancer: a Danish population-based cohort study 由 Adelborg, Kasper, Farkas, Dóra Körmendiné, Sundbøll, Jens, Schapira, Lidia, Tamang, Suzanne, Cullen, Mark R, Cronin-Fenton, Deirdre, Sørensen, Henrik Toft

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Association of α1-Blocker Receipt With 30-Day Mortality and Risk of Intensive Care Unit Admission Among Adults Hospitalized With Influenza or Pneumonia in Denmark 由 Thomsen, Reimar W., Christiansen, Christian Fynbo, Heide-Jørgensen, Uffe, Vogelstein, Joshua T., Vogelstein, Bert, Bettegowda, Chetan, Tamang, Suzanne, Athey, Susan, Sørensen, Henrik Toft

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Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction 由 Agarwal, Khushbu, Choudhury, Sutanay, Tipirneni, Sindhu, Mukherjee, Pritam, Ham, Colby, Tamang, Suzanne, Baker, Matthew, Tang, Siyi, Kocaman, Veysel, Gevaert, Olivier, Rallo, Robert, Reddy, Chandan K

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Stress Disorders and Dementia in the Danish Population 由 Gradus, Jaimie L, Horváth-Puhó, Erzsébet, Lash, Timothy L, Ehrenstein, Vera, Tamang, Suzanne, Adler, Nancy E, Milstein, Arnold, Glymour, M Maria, Henderson, Victor W, Sørensen, Henrik T

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Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study 由 Powell, Michael, Koenecke, Allison, Byrd, James Brian, Nishimura, Akihiko, Konig, Maximilian F., Xiong, Ruoxuan, Mahmood, Sadiqa, Mucaj, Vera, Bettegowda, Chetan, Rose, Liam, Tamang, Suzanne, Sacarny, Adam, Caffo, Brian, Athey, Susan, Stuart, Elizabeth A., Vogelstein, Joshua T.

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