Zobrazeno 1 - 10
of 1 378
pro vyhledávání: '"Hripcsak George"'
This article develops a novel data assimilation methodology, addressing challenges that are common in real-world settings, such as severe sparsity of observations, lack of reliable models, and non-stationarity of the system dynamics. These challenges
Externí odkaz:
http://arxiv.org/abs/2411.01786
Autor:
Sirlanci, Melike, Hripcsak, George, Wang, Cecilia C. Low, Stroh, J. N., Wang, Yanran, Bennett, Tellen D., Stuart, Andrew M., Albers, David J.
Intensive care unit (ICU) patients exhibit erratic blood glucose (BG) fluctuations, including hypoglycemic and hyperglycemic episodes, and require exogenous insulin delivery to keep their BG in healthy ranges. Glycemic control via glycemic management
Externí odkaz:
http://arxiv.org/abs/2403.14934
Autor:
Tian, Yuxi, Pratt, Nicole, Hester, Laura L, Hripcsak, George, Schuemie, Martijn J, Suchard, Marc A
In pharmacoepidemiology research, instrumental variables (IVs) are variables that strongly predict treatment but have no causal effect on the outcome of interest except through the treatment. There remain concerns about the inclusion of IVs in propen
Externí odkaz:
http://arxiv.org/abs/2403.14563
Autor:
Pang, Chao, Jiang, Xinzhuo, Pavinkurve, Nishanth Parameshwar, Kalluri, Krishna S., Minto, Elise L., Patterson, Jason, Zhang, Linying, Hripcsak, George, Gürsoy, Gamze, Elhadad, Noémie, Natarajan, Karthik
Synthetic Electronic Health Records (EHR) have emerged as a pivotal tool in advancing healthcare applications and machine learning models, particularly for researchers without direct access to healthcare data. Although existing methods, like rule-bas
Externí odkaz:
http://arxiv.org/abs/2402.04400
Autor:
Callahan, Tiffany J., Tripodi, Ignacio J., Stefanski, Adrianne L., Cappelletti, Luca, Taneja, Sanya B., Wyrwa, Jordan M., Casiraghi, Elena, Matentzoglu, Nicolas A., Reese, Justin, Silverstein, Jonathan C., Hoyt, Charles Tapley, Boyce, Richard D., Malec, Scott A., Unni, Deepak R., Joachimiak, Marcin P., Robinson, Peter N., Mungall, Christopher J., Cavalleri, Emanuele, Fontana, Tommaso, Valentini, Giorgio, Mesiti, Marco, Gillenwater, Lucas A., Santangelo, Brook, Vasilevsky, Nicole A., Hoehndorf, Robert, Bennett, Tellen D., Ryan, Patrick B., Hripcsak, George, Kahn, Michael G., Bada, Michael, Baumgartner Jr, William A., Hunter, Lawrence E.
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle
Externí odkaz:
http://arxiv.org/abs/2307.05727
Autor:
Bu, Fan, Schuemie, Martijn J., Nishimura, Akihiko, Smith, Louisa H., Kostka, Kristin, Falconer, Thomas, McLeggon, Jody-Ann, Ryan, Patrick B., Hripcsak, George, Suchard, Marc A.
Post-market safety surveillance is an integral part of mass vaccination programs. Typically relying on sequential analysis of real-world health data as they accrue, safety surveillance is challenged by the difficulty of sequential multiple testing an
Externí odkaz:
http://arxiv.org/abs/2305.12034
Autor:
Albers, David, Sirlanci, Melike, Levine, Matthew, Claassen, Jan, Der Nigoghossian, Caroline, Hripcsak, George
Prediction of physiologic states are important in medical practice because interventions are guided by predicted impacts of interventions. But prediction is difficult in medicine because the generating system is complex and difficult to understand fr
Externí odkaz:
http://arxiv.org/abs/2305.06513
Autor:
Zhang, Linying, Richter, Lauren R., Wang, Yixin, Ostropolets, Anna, Elhadad, Noemie, Blei, David M., Hripcsak, George
Healthcare continues to grapple with the persistent issue of treatment disparities, sparking concerns regarding the equitable allocation of treatments in clinical practice. While various fairness metrics have emerged to assess fairness in decision-ma
Externí odkaz:
http://arxiv.org/abs/2211.11183
Autor:
Callahan, Tiffany J., Stefanski, Adrianne L., Wyrwa, Jordan M., Zeng, Chenjie, Ostropolets, Anna, Banda, Juan M., Baumgartner Jr., William A., Boyce, Richard D., Casiraghi, Elena, Coleman, Ben D., Collins, Janine H., Deakyne-Davies, Sara J., Feinstein, James A., Haendel, Melissa A., Lin, Asiyah Y., Martin, Blake, Matentzoglu, Nicolas A., Meeker, Daniella, Reese, Justin, Sinclair, Jessica, Taneja, Sanya B., Trinkley, Katy E., Vasilevsky, Nicole A., Williams, Andrew, Zhang, Xingman A., Denny, Joshua C., Robinson, Peter N., Ryan, Patrick, Hripcsak, George, Bennett, Tellen D., Hunter, Lawrence E., Kahn, Michael G.
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry o
Externí odkaz:
http://arxiv.org/abs/2209.04732
Autor:
Cai, Cindy X., Nishimura, Akihiko, Bowring, Mary G., Westlund, Erik, Tran, Diep, Ng, Jia H., Nagy, Paul, Cook, Michael, McLeggon, Jody-Ann, DuVall, Scott L., Matheny, Michael E., Golozar, Asieh, Ostropolets, Anna, Minty, Evan, Desai, Priya, Bu, Fan, Toy, Brian, Hribar, Michelle, Falconer, Thomas, Zhang, Linying, Lawrence-Archer, Laurence, Boland, Michael V., Goetz, Kerry, Hall, Nathan, Shoaibi, Azza, Reps, Jenna, Sena, Anthony G., Blacketer, Clair, Swerdel, Joel, Jhaveri, Kenar D., Lee, Edward, Gilbert, Zachary, Zeger, Scott L., Crews, Deidra C., Suchard, Marc A., Hripcsak, George, Ryan, Patrick B.
Publikováno v:
In Ophthalmology Retina August 2024 8(8):733-743
