Barriers to Achieving Economies of Scale in Analysis of EHR Data: A Cautionary Tale

by Sendak, Mark P., Balu, Suresh, Schulman, Kevin A.
Published in Appl Clin Inform (2017)

Presenting machine learning model information to clinical end users with model facts labels

by Sendak, Mark P., Gao, Michael, Brajer, Nathan, Balu, Suresh
Published in NPJ Digit Med (2020)

Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities

by Sendak, Mark, Gao, Michael, Nichols, Marshall, Lin, Anthony, Balu, Suresh
Published in EGEMS (Wash DC) (2019)

Assessment of Spanish Translation of Websites at Top-Ranked US Hospitals

by Honeycutt, Christopher Cole, Bueno, Karina Moreno, Tran, Tamara, Gao, Michael, Balu, Suresh, Sendak, Mark
Published in JAMA Netw Open (2021)

Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

by Sandhu, Sahil, Lin, Anthony L, Brajer, Nathan, Sperling, Jessica, Ratliff, William, Bedoya, Armando D, Balu, Suresh, O'Brien, Cara, Sendak, Mark P
Published in J Med Internet Res (2020)

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, s...

by Corey, Kristin M., Kashyap, Sehj, Lorenzi, Elizabeth, Lagoo-Deenadayalan, Sandhya A., Heller, Katherine, Whalen, Krista, Balu, Suresh, Heflin, Mitchell T., McDonald, Shelley R., Swaminathan, Madhav, Sendak, Mark
Published in PLoS Med (2018)

Machine learning for early detection of sepsis: an internal and temporal validation study

by Bedoya, Armando D, Futoma, Joseph, Clement, Meredith E, Corey, Kristin, Brajer, Nathan, Lin, Anthony, Simons, Morgan G, Gao, Michael, Nichols, Marshall, Balu, Suresh, Heller, Katherine, Sendak, Mark, O’Brien, Cara
Published in JAMIA Open (2020)

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

by Sendak, Mark P, Ratliff, William, Sarro, Dina, Alderton, Elizabeth, Futoma, Joseph, Gao, Michael, Nichols, Marshall, Revoir, Mike, Yashar, Faraz, Miller, Corinne, Kester, Kelly, Sandhu, Sahil, Corey, Kristin, Brajer, Nathan, Tan, Christelle, Lin, Anthony, Brown, Tres, Engelbosch, Susan, Anstrom, Kevin, Elish, Madeleine Clare, Heller, Katherine, Donohoe, Rebecca, Theiling, Jason, Poon, Eric, Balu, Suresh, Bedoya, Armando, O'Brien, Cara
Published in JMIR Med Inform (2020)

The Project Baseline Health Study: a step towards a broader mission to map human health

by Arges, Kristine, Assimes, Themistocles, Bajaj, Vikram, Balu, Suresh, Bashir, Mustafa R., Beskow, Laura, Blanco, Rosalia, Califf, Robert, Campbell, Paul, Carin, Larry, Christian, Victoria, Cousins, Scott, Das, Millie, Dockery, Marie, Douglas, Pamela S., Dunham, Ashley, Eckstrand, Julie, Fleischmann, Dominik, Ford, Emily, Fraulo, Elizabeth, French, John, Gambhir, Sanjiv S., Ginsburg, Geoffrey S., Green, Robert C., Haddad, Francois, Hernandez, Adrian, Hernandez, John, Huang, Erich S., Jaffe, Glenn, King, Daniel, Koweek, Lynne H., Langlotz, Curtis, Liao, Yaping J., Mahaffey, Kenneth W., Marcom, Kelly, Marks, William J., Maron, David, McCabe, Reid, McCall, Shannon, McCue, Rebecca, Mega, Jessica, Miller, David, Muhlbaier, Lawrence H., Munshi, Rajan, Newby, L. Kristin, Pak-Harvey, Ezra, Patrick-Lake, Bray, Pencina, Michael, Peterson, Eric D., Rodriguez, Fatima, Shore, Scarlet, Shah, Svati, Shipes, Steven, Sledge, George, Spielman, Susie, Spitler, Ryan, Schaack, Terry, Swamy, Geeta, Willemink, Martin J., Wong, Charlene A.
Published in NPJ Digit Med (2020)