Search Results - "Lavista Ferres, Juan M"

Maternal Smoking Before and During Pregnancy and the Risk of Sudden Unexpected Infant Death by Anderson, Tatiana M, Lavista Ferres, Juan M, Ren, Shirley You, Moon, Rachel Y, Goldstein, Richard D, Ramirez, Jan-Marino, Mitchell, Edwin A

“…Maternal smoking during pregnancy is an established risk factor for sudden unexpected infant death (SUID). Here, we aim to investigate the effects of maternal…”
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Distinct Populations of Sudden Unexpected Infant Death Based on Age by Lavista Ferres, Juan M, Anderson, Tatiana M, Johnston, Richard, Ramirez, Jan-Marino, Mitchell, Edwin A

“…In most recent studies, authors combine all cases of sudden infant death syndrome, other deaths from ill-defined or unknown causes, and accidental suffocation…”
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Association of Public Health Measures During the COVID-19 Pandemic With the Incidence of Infectious Conjunctivitis by Lavista Ferres, Juan M, Meirick, Thomas, Lomazow, Whitney, Lee, Cecilia S, Lee, Aaron Y, Lee, Michele D

“…Infectious conjunctivitis is highly transmissible and a public health concern. While mitigation strategies have been successful on a local level,…”
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Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15 by Tanner, Darren, Lavista Ferres, Juan M., Mitchell, Edwin A.

“…In the United States the rate of stillbirth after 28 weeks’ gestation (late stillbirth) is 2.7/1000 births. Fetuses that are small for gestational age (SGA) or…”
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Survey data and human computation for improved flu tracking by Wojcik, Stefan, Bijral, Avleen S., Johnston, Richard, Lavista Ferres, Juan M., King, Gary, Kennedy, Ryan, Vespignani, Alessandro, Lazer, David

“…While digital trace data from sources like search engines hold enormous potential for tracking and understanding human behavior, these streams of data lack…”
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Risk factors for late (28+ weeks' gestation) stillbirth in the United States, 2014-2015 by Tanner, Darren, Murthy, Sushama, Lavista Ferres, Juan M, Ramirez, Jan-Marino, Mitchell, Edwin A

“…In the United States (US) late stillbirth (at 28 weeks or more of gestation) occurs in 3/1000 births. We examined risk factors for late stillbirth with the…”
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Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes by Ortiz, Anthony, Trivedi, Anusua, Desbiens, Jocelyn, Blazes, Marian, Robinson, Caleb, Gupta, Sunil, Dodhia, Rahul, Bhatraju, Pavan K., Liles, W. Conrad, Lee, Aaron, Ferres, Juan M. Lavista

“…The rapid evolution of the novel coronavirus disease (COVID-19) pandemic has resulted in an urgent need for effective clinical tools to reduce transmission and…”
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Precision mapping child undernutrition for nearly 600,000 inhabited census villages in India by Kim, Rockli, Bijral, Avleen S., Xu, Yun, Zhang, Xiuyuan, Blossom, Jeffrey C., Swaminathan, Akshay, King, Gary, Kumar, Alok, Sarwal, Rakesh, Ferres, Juan M. Lavista, Subramanian, S. V.

“…There are emerging opportunities to assess health indicators at truly small areas with increasing availability of data geocoded to micro geographic units and…”
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Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the U.S., 2011-2015 by Weatherly, Maggie, Trivedi, Anusua, Chembrolu, Ratna, Gupta, Sanjana, Ramirez, Jan-Marino, Lavista Ferres, Juan M, Anderson, Tatiana M, Mitchell, Edwin A

“…Infection is thought to play a part in some infant deaths. Maternal infection in pregnancy has focused on chlamydia with some reports suggesting an association…”
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Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement by Trivedi, Anusua, Robinson, Caleb, Blazes, Marian, Ortiz, Anthony, Desbiens, Jocelyn, Gupta, Sunil, Dodhia, Rahul, Bhatraju, Pavan K, Liles, W Conrad, Kalpathy-Cramer, Jayashree, Lee, Aaron Y, Lavista Ferres, Juan M

“…In response to the COVID-19 global pandemic, recent research has proposed creating deep learning based models that use chest radiographs (CXRs) in a variety of…”
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Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare by Weeks, William B, Lavista Ferres, Juan M, Weinstein, James N

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Factors Associated With the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study by Kasting, Monica L, Macy, Jonathan T, Grannis, Shaun J, Wiensch, Ashley J, Lavista Ferres, Juan M, Dixon, Brian E

“…The COVID-19 pandemic is an unprecedented public health crisis, and vaccines are the most effective means of preventing severe consequences of this disease…”
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A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space by Khan, Christin B., Goetz, Kimberly T., Cubaynes, Hannah C., Robinson, Caleb, Murnane, Erin, Aldrich, Tyler, Sackett, Meredith, Clarke, Penny J., LaRue, Michelle A., White, Timothy, Leonard, Kathleen, Ortiz, Anthony, Lavista Ferres, Juan M.

“…Monitoring marine mammals is of broad interest to governments and individuals around the globe. Very high-resolution (VHR) satellites hold the promise of…”
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Geographic Variation in Sudden Unexpected Infant Death in the United States by Mitchell, Edwin A., Yan, Xiaohan, Ren, Shirley You, Anderson, Tatiana M., Ramirez, Jan-Marino, Lavista Ferres, Juan M., Johnston, Richard

“…To assess the geographic variation of sudden unexpected infant death (SUID) and test if variation in geographic factors, such as state, latitude, and…”
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Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America by Weeks, William B, Spelhaug, Justin, Weinstein, James N, Ferres, Juan M Lavista

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Capturing COVID-19-Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study by Dixon, Brian E, Mukherjee, Sumit, Wiensch, Ashley, Gray, Mary L, Ferres, Juan M Lavista, Grannis, Shaun J

“…Identifying new COVID-19 cases is challenging. Not every suspected case undergoes testing, because testing kits and other equipment are limited in many parts…”
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Artificial Intelligence as a Public Service by Lavista Ferres, Juan M., Fishman, Elliot K., Rowe, Steven P., Chu, Linda C., Lugo-Fagundo, Elias

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Watching Innovation in Real Time: The Story of ChatGPT and Radiology by Fishman, Elliot K., Weeks, William B., Lavista Ferres, Juan M., Chu, Linda C.

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Health and Wealth in America by Weeks, William B, Lavista Ferres, Juan M, Weinstein, James N

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The Ecology of Economic Distress and Life Expectancy by Weeks, William Brinson, Chang, Ji E, Pagán, José A, Adamson, Elizabeth, Weinstein, James, Ferres, Juan M Lavista

“…To determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in…”
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