Search Results - "Saltz, Mary"

Investigation of commonly used aortic aneurysm growth rate metrics: Comparing their suitability for clinical and research applications by Abell-Hart, Kayley, Hajagos, Janos, Garcia, Victor, Kaan, James, Zhu, Wei, Saltz, Mary, Saltz, Joel, Tassiopoulos, Apostolos

“…An aneurysm is a pathological widening of a blood vessel. Aneurysms of the aorta are often asymptomatic until they rupture, killing approximately 10,000…”
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Geographic, Temporal, and Sociodemographic Differences in Opioid Poisoning by Schoenfeld, Elinor R., Leibowitz, George S., Wang, Yu, Chen, Xin, Hou, Wei, Rashidian, Sina, Saltz, Mary M., Saltz, Joel H., Wang, Fusheng

“…Not enough is known about the epidemiology of opioid poisoning to tailor interventions to help address the growing opioid crisis in the U.S. The objective of…”
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Association of Proteinuria and Hematuria with Acute Kidney Injury and Mortality in Hospitalized Patients with COVID-19 by Chaudhri, Imran, Moffitt, Richard, Taub, Erin, Annadi, Raji R., Hoai, Minh, Bolotova, Olena, Yoo, Jeanwoo, Dhaliwal, Simrat, Sahib, Haseena, Daccueil, Farah, Hajagos, Janos, Saltz, Mary, Saltz, Joel, Mallipattu, Sandeep K., Koraishy, Farrukh M.

“…Introduction: Acute kidney injury (AKI) is strongly associated with poor outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19), but data…”
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A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions by Chen, Xin, Hou, Wei, Rashidian, Sina, Wang, Yu, Zhao, Xia, Leibowitz, George Stuart, Rosenthal, Richard N., Saltz, Mary, Saltz, Joel H., Schoenfeld, Elinor Randi, Wang, Fusheng

“…Opioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of…”
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Serverless OpenHealth at data commons scale-traversing the 20 million patient records of New York's SPARCS dataset in real-time by Almeida, Jonas S, Hajagos, Janos, Saltz, Joel, Saltz, Mary

“…In a previous report, we explored the serverless OpenHealth approach to the Web as a Global Compute space. That approach relies on the modern browser full…”
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The N3C governance ecosystem: A model socio-technical partnership for the future of collaborative analytics at scale by Suver, Christine, Harper, Jeremy, Loomba, Johanna, Saltz, Mary, Solway, Julian, Anzalone, Alfred Jerrod, Walters, Kellie, Pfaff, Emily, Walden, Anita, McMurry, Julie, Chute, Christopher G, Haendel, Melissa

“…The National COVID Cohort Collaborative (N3C) is a public-private-government partnership established during the Coronavirus pandemic to create a centralized…”
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A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation by Wen, Andrew, Wang, Liwei, He, Huan, Fu, Sunyang, Liu, Sijia, Hanauer, David A, Harris, Daniel R, Kavuluru, Ramakanth, Zhang, Rui, Natarajan, Karthik, Pavinkurve, Nishanth P, Hajagos, Janos, Rajupet, Sritha, Lingam, Veena, Saltz, Mary, Elowsky, Corey, Moffitt, Richard A, Koraishy, Farrukh M, Palchuk, Matvey B, Donovan, Jordan, Lingrey, Lora, Stone-DerHagopian, Garo, Miller, Robert T, Williams, Andrew E, Leese, Peter J, Kovach, Paul I, Pfaff, Emily R, Zemmel, Mikhail, Pates, Robert D, Guthe, Nick, Haendel, Melissa A, Chute, Christopher G, Liu, Hongfang

“…A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in clinical natural language…”
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Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy by Rashidian, Sina, Hajagos, Janos, Moffitt, Richard A, Wang, Fusheng, Noel, Kimberly M, Gupta, Rajarsi R, Tharakan, Mathew A, Saltz, Joel H, Saltz, Mary M

“…Characterization of a patient's clinical phenotype is central to biomedical informatics. ICD codes, assigned to inpatient encounters by coders, is important…”
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Identifying risk of opioid use disorder for patients taking opioid medications with deep learning by Dong, Xinyu, Deng, Jianyuan, Rashidian, Sina, Abell-Hart, Kayley, Hou, Wei, Rosenthal, Richard N, Saltz, Mary, Saltz, Joel H, Wang, Fusheng

“…Abstract Objective The United States is experiencing an opioid epidemic. In recent years, there were more than 10 million opioid misusers aged 12 years or…”
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Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning by Dong, Xinyu, Deng, Jianyuan, Hou, Wei, Rashidian, Sina, Rosenthal, Richard N., Saltz, Mary, Saltz, Joel H., Wang, Fusheng

“…[Display omitted] •We train a model to predict opioid overdose in the future based on past electronic health records.•The model is neural network based and…”
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A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images by Saltz, Joel, Sharma, Ashish, Iyer, Ganesh, Bremer, Erich, Wang, Feiqiao, Jasniewski, Alina, DiPrima, Tammy, Almeida, Jonas S, Gao, Yi, Zhao, Tianhao, Saltz, Mary, Kurc, Tahsin

“…Well-curated sets of pathology image features will be critical to clinical studies that aim to evaluate and predict treatment responses. Researchers require…”
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Glycemic Control and Clinical Outcomes in U.S. Patients With COVID-19: Data From the National COVID Cohort Collaborative (N3C) Database by Wong, Rachel, Hall, Margaret, Vaddavalli, Rohith, Anand, Adit, Arora, Neha, Bramante, Carolyn T, Garcia, Victor, Johnson, Steven, Saltz, Mary, Tronieri, Jena S, Yoo, Yun Jae, Buse, John B, Saltz, Joel, Miller, Joshua, Moffitt, Richard

“…The purpose of the study is to evaluate the relationship between HbA1c and severity of coronavirus disease 2019 (COVID-19) outcomes in patients with type 2…”
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Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records by Dong, Xinyu, Rashidian, Sina, Wang, Yu, Hajagos, Janos, Zhao, Xia, Rosenthal, Richard N, Kong, Jun, Saltz, Mary, Saltz, Joel, Wang, Fusheng

“…Opioid addiction in the United States has come to national attention as opioid overdose (OD) related deaths have risen at alarming rates. Combating opioid…”
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Social Media Based Analysis of Opioid Epidemic Using Reddit by Pandrekar, Sheetal, Chen, Xin, Gopalkrishna, Gaurav, Srivastava, Avi, Saltz, Mary, Saltz, Joel, Wang, Fusheng

“…Opioid-abuse epidemic in the United States has escalated to national attention due to the dramatic increase of opioid overdose deaths. Analyzing opioid-related…”
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Early Empiric Antibiotic Use in Patients Hospitalized With COVID-19: A Retrospective Cohort Study by Widere, J. Christian, Davis, Claire Leilani, Loomba, Johanna Jean, Bell, Taison D., Enfield, Kyle B., Barros, Andrew Julio

“…To investigate temporal trends and outcomes associated with early antibiotic prescribing in patients hospitalized with COVID-19. Retrospective…”
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Effect of SARS-CoV-2 Infection and Infection Severity on Longer-Term Glycemic Control and Weight in People With Type 2 Diabetes by Wong, Rachel, Vaddavalli, Rohith, Hall, Margaret A, Patel, Monil V, Bramante, Carolyn T, Casarighi, Elena, Johnson, Steven G, Lingam, Veena, Miller, Joshua D, Reusch, Jane, Saltz, Mary, Stürmer, Til, Tronieri, Jena S, Wilkins, Kenneth J, Buse, John B, Saltz, Joel, Huling, Jared D, Moffitt, Richard

“…To evaluate the association of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severity of infection with longer-term glycemic…”
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A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids by Deng, Jianyuan, Hou, Wei, Dong, Xinyu, Hajagos, Janos, Saltz, Mary, Saltz, Joel, Wang, Fusheng

“…Background The USA is in the midst of an opioid overdose epidemic. To address the epidemic, we conducted a large-scale population study on opioid overdose…”
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Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome by Alur-Gupta, Snigdha, Boland, Mary Regina, Dokras, Anuja, Haendel, Melissa A., Chute, Christopher G., Walden, Anita, Gersing, Kenneth R., Misquitta, Leonie, Burgoon, Penny Wung, Bozzette, Samuel, Deacy, Mariam, Dillon, Christopher, Erwin-Cohen, Rebecca, Garbarini, Nicole, Gordon, Valery, Kurilla, Michael G., Marti, Emily Carlson, Michael, Sam G., Portilla, Lili, Schmitt, Clare, Temple-O'Connor, Meredith, Bennett, Tellen D., Eichmann, David A., Guinney, Justin, Kibbe, Warren A., Liu, Hongfang, Payne, Philip R.O., Pfaff, Emily R., Robinson, Peter N., Saltz, Joel H., Spratt, Heidi, Starren, Justin, Suver, Christine, Wilcox, Adam B., Williams, Andrew E., Wu, Chunlei, Gabriel, Davera, Hong, Stephanie S., Kostka, Kristin, Lehmann, Harold P., Moffitt, Richard A., Morris, Michele, Palchuk, Matvey B., Zhang, Xiaohan Tanner, Zhu, Richard L., Clark, Marshall, Girvin, Andrew T., Lee, Adam M., Miller, Robert T., Walters, Kellie M., Cooper, Will, Francis, Patricia A., Fuentes, Rafael, Graves, Alexis, McMurry, Julie A., Neumann, Andrew J., O'Neil, Shawn T., Sheikh, Usman, Zampino, Elizabeth, Bissell, Mark M., Bradwell, Katie Rebecca, Manna, Amin, Qureshi, Nabeel, Saltz, Mary Morrison, Volz, Andréa M., Bramante, Carolyn, Harper, Jeremy Richard, Hernandez, Wenndy, Koraishy, Farrukh M., Mariona, Federico, Saha, Amit, Vedula, Satyanarayana

“…To determine whether women with polycystic ovary syndrome (PCOS) had a higher incidence of testing positive for severe acute respiratory syndrome coronavirus 2…”
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Temporal Events Detector for Pregnancy Care (TED-PC): A rule-based algorithm to infer gestational age and delivery date from electronic health records of pregnant women with and without COVID-19 by Lyu, Tianchu, Liang, Chen, Liu, Jihong, Campbell, Berry, Hung, Peiyin, Shih, Yi-Wen, Ghumman, Nadia, Li, Xiaoming

“…Objective Identifying the time of SARS-CoV-2 viral infection relative to specific gestational weeks is critical for delineating the role of viral infection…”
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The impending “3D transformation” of radiology informatics by Farooki, Shella, Almeida, Jonas, Saltz, Mary Morrison

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