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Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.

P. Desai, S. Harkins, S. Rahman, S. Kumar, A. Hermann, R. Joly, Y. Zhang, J. Pathak, J. Kim, D. D'angelo, N. Benda, and M. Turchioe. J. Am. Medical Informatics Assoc., 31 (2): 289-297 (January 2024)

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Martin Reading

Meghan Dougherty

Meghan Henning

Meghan Marie Davis

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Visual analogies, not graphs, increase patients' comprehension of changes in their health status.M. Turchioe, L. Grossman, A. Myers, D. Baik, P. Goyal, and R. Creber. J. Am. Medical Informatics Assoc., 27 (5): 677-689 (2020)Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity.M. Burgermaster, P. Desai, E. Heitkemper, F. Juul, E. Mitchell, M. Turchioe, D. Albers, M. Levine, D. Larson, and L. Mamykina. J. Biomed. Informatics, (August 2023)Modifications to the ISO 9186 Method for Testing Comprehension of Visualizations: Successes and Lessons Learned.A. Arcia, L. Grossman, M. George, M. Turchioe, S. Mangal, and R. Creber. VAHC, page 41-47. IEEE, (2019)Provider perspectives on the clinical utility of using a risk prediction tool for postpartum depression.A. Myers, F. Ahsan, R. Joly, A. Hermann, Y. Zhang, M. Laskoff, J. Pathak, and M. Turchioe. AMIA, AMIA, (2020)Depression in the App Stores: A Review and Standardized Rating of Apps for Depression, including Postpartum Depression.K. Andreadis, M. Mohsin, X. Xiao, X. Zhang, M. Turchioe, and R. Creber. AMIA, AMIA, (2020)Patient Preferences for Accessing, Communicating, and Sharing Health Information using Visualized Patient-Reported Outcomes.S. Mangal, L. Park, M. Turchioe, L. Liu, A. Myers, B. Taylor, P. Goyal, L. Dugdale, and R. Creber. AMIA, AMIA, (2021)Addressing Challenges and Strategies for Virtual Recruitment for Longitudinal Studies.A. Myers, M. Turchioe, S. Mangal, L. Park, L. Liu, and R. Creber. AMIA, AMIA, (2021)Comprehension of Visualizations for Longitudinal Patient-Reported Outcomes.L. Grossman, M. Turchioe, A. Myers, D. Baik, and R. Creber. AMIA, AMIA, (2019)Impact of Social Determinants of Health on Predictive Models in 30-Day Hospital Readmission or Death for Patients with Severe Obesity.M. Sharko, Y. Zhang, Y. Zhang, E. Sholle, S. Abedian, M. Turchioe, and J. Ancker. AMIA, AMIA, (2021)Effect of Abbreviation and Acronym Expansion on Patients' Comprehension of their Health Records: A Randomized Trial.L. Liu, M. Turchioe, D. Russell, A. Myers, D. Vawdrey, and R. Creber. AMIA, AMIA, (2021)

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Disambiguation of "Turchioe, Meghan Reading"

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Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.

Please choose a person to relate this publication to

Martin Reading

Meghan Dougherty

Meghan Henning

Meghan Marie Davis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Turchioe, Meghan Reading"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.

Please choose a person to relate this publication to

Martin Reading

Meghan Dougherty

Meghan Henning

Meghan Marie Davis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Chicago
DIN 1505
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Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.