Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk von Shakeri Hossein Abad, Zahra, Butler, Gregory P, Thompson, Wendy, Lee, Joon

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Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI von Abbasian, Mahyar, Khatibi, Elahe, Azimi, Iman, Oniani, David, Shakeri Hossein Abad, Zahra, Thieme, Alexander, Sriram, Ram, Yang, Zhongqi, Wang, Yanshan, Lin, Bryant, Gevaert, Olivier, Li, Li-Jia, Jain, Ramesh, Rahmani, Amir M.

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Digital public health surveillance: a systematic scoping review von Shakeri Hossein Abad, Zahra, Kline, Adrienne, Sultana, Madeena, Noaeen, Mohammad, Nurmambetova, Elvira, Lucini, Filipe, Al-Jefri, Majed, Lee, Joon

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Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research von Shakeri Hossein Abad, Zahra, Butler, Gregory P, Thompson, Wendy, Lee, Joon

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Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach von Kline, Adrienne, Kline, Theresa, Abad, Zahra Shakeri Hossein, Lee, Joon

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Foundation models for generalist medical artificial intelligence von Moor, Michael, Banerjee, Oishi, Abad, Zahra Shakeri Hossein, Krumholz, Harlan M., Leskovec, Jure, Topol, Eric J., Rajpurkar, Pranav

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Predicting Discharge Destination of Critically Ill Patients Using Machine Learning von Abad, Zahra Shakeri Hossein, Maslove, David M., Lee, Joon

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Predicting patient decompensation from continuous physiologic monitoring in the emergency department von Sundrani, Sameer, Chen, Julie, Jin, Boyang Tom, Abad, Zahra Shakeri Hossein, Rajpurkar, Pranav, Kim, David

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Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? von Tan, Amelia L.M., Getzen, Emily J., Hutch, Meghan R., Strasser, Zachary H., Gutiérrez-Sacristán, Alba, Le, Trang T., Dagliati, Arianna, Morris, Michele, Hanauer, David A., Moal, Bertrand, Bonzel, Clara-Lea, Yuan, William, Chiudinelli, Lorenzo, Das, Priam, Zhang, Harrison G., Aronow, Bruce J., Avillach, Paul, Brat, Gabriel.A., Cai, Tianxi, Hong, Chuan, La Cava, William G., Hooi Will Loh, He, Luo, Yuan, Murphy, Shawn N., Yuan Hgiam, Kee, Omenn, Gilbert S., Patel, Lav P., Jebathilagam Samayamuthu, Malarkodi, Shriver, Emily R., Shakeri Hossein Abad, Zahra, Tan, Byorn W.L., Visweswaran, Shyam, Wang, Xuan, Weber, Griffin M., Xia, Zongqi, Verdy, Bertrand, Long, Qi, Mowery, Danielle L., Holmes, John H.

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Development of an Artificial Intelligence System to Monitor Digital Marketing of Unhealthy Food to Children: Research Protocol von Olstad, Dana Lee, Raman, Munib, Valderrama, Camilo, Hossein Abad, Zahra Shakeri, Cheema, Abdullah Bashir, Ng, Steven, Memon, Ashar, Lee, Joon

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Foundation models for generalist medical artificial intelligence von Moor, Michael, Banerjee, Oishi, Abad, Zahra Shakeri Hossein, Krumholz, Harlan M., Leskovec, Jure, Topol, Eric J., Rajpurkar, Pranav

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A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework von Strasser, Zachary H, Dagliati, Arianna, Shakeri Hossein Abad, Zahra, Klann, Jeffrey G, Wagholikar, Kavishwar B, Mesa, Rebecca, Visweswaran, Shyam, Morris, Michele, Luo, Yuan, Henderson, Darren W, Samayamuthu, Malarkodi Jebathilagam, Omenn, Gilbert S, Xia, Zongqi, Holmes, John H, Estiri, Hossein, Murphy, Shawn N

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Reinforcement learning in urban network traffic signal control: A systematic literature review von Noaeen, Mohammad, Naik, Atharva, Goodman, Liana, Crebo, Jared, Abrar, Taimoor, Abad, Zahra Shakeri Hossein, Bazzan, Ana L.C., Far, Behrouz

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The ecological determinants of severe dengue: A Bayesian inferential model von Annan, Esther, Bukhari, Moeen Hamid, Treviño, Jesús, Abad, Zahra Shakeri Hossein, Lubinda, Jailos, da Silva, Eduardo A.B., Haque, Ubydul

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Evaluating progress in automatic chest X-ray radiology report generation von Yu, Feiyang, Endo, Mark, Krishnan, Rayan, Pan, Ian, Tsai, Andy, Reis, Eduardo Pontes, Fonseca, Eduardo Kaiser Ururahy Nunes, Lee, Henrique Min Ho, Abad, Zahra Shakeri Hossein, Ng, Andrew Y., Langlotz, Curtis P., Venugopal, Vasantha Kumar, Rajpurkar, Pranav

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Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study von Tan, Bryce W.Q., Moal, Bertrand, Neuraz, Antoine, Visweswaran, Shyam, Hanauer, David A., Maidlow, Sarah E., Avillach, Paul, Serrano Balazote, Pablo, Loh, Ne Hooi Will, Chiudinelli, Lorenzo, Cai, Tianxi, Omenn, Gilbert S., Holmes, John H., Ngiam, Kee Yuan, Agapito, Giuseppe, Albi, Giuseppe, Alloni, Anna, Angoulvant, François, Anthony, Li L.L.J., Aronow, Bruce J., Balshi, James, Bellasi, Antonio, Bernal-Sobrino, José Luis, Bhatnagar, Surbhi, Bosari, Silvano, Bourgeois, Florence T., Bradford, Robert L., Bryant, William A., Cannataro, Mario, Chiudinelli, Lorenzo, Colicchio, Tiago K., Cormont, Sylvie, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Dubiel, Julien, DuVall, Scott L., Estiri, Hossein, Fan, Shirley, Follett, Robert W., Ganslandt, Thomas, Gehlenborg, Nils, Getzen, Emily J., Geva, Alon, Griffier, Romain, Gutiérrez-Sacristán, Alba, Guzzi, Pietro H., Henderson, Darren W., Ho, Yuk-Lam, Holmes, John H., Hong, Chuan, Kavuluru, Ramakanth, Kernan, Kate F., Klann, Jeffrey G., Krantz, Ian D., Krishnamurthy, Ashok K., Leblanc, Judith, Lemaitre, Guillaume, Liu, Molei, Long, Qi, Maidlow, Sarah E., Makoudjou, Adeline, Makwana, Simran, Malovini, Alberto, Mazzotti, Diego R., Milano, Marianna, Moraleda, Cinta, Mowery, Danielle L., Naughton, Thomas P., Ngiam, Kee Yuan, Njoroge, Wanjiku F.M., Omenn, Gilbert S., Orlova, Nina, Ostasiewski, Brian D., Palmer, Nathan P., Paris, Nicolas, Patel, Lav P., Priya, Tanu, Raskin, Maryna, Rieg, Siegbert, Roig-Domínguez, Gustavo, Sáez, Carlos, Schubert, Petra, Schuettler, Juergen, Shah, Mohsin, Son, Jiyeon, Sonday, Charles, Tan, Bryce W.Q., Terriza-Torres, Ana I., Tibollo, Valentina, Tippmann, Patric, Vallejos, Andrew K., Vella, Margaret E., Vie, Jill-Jênn, Vitacca, Michele, Wassermann, Demian, Ye, Ye, Yehya, Nadir, Zambelli, Alberto, Zhang, Harrison G.

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Detecting Use Case Scenarios in Requirements Artifacts: A Deep Learning Approach von Jahan, Munima, Abad, Zahra Shakeri Hossein, Far, Behrouz

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International electronic health record-derived post-acute sequelae profiles of COVID-19 patients von Zhang, Harrison G., Dagliati, Arianna, Shakeri Hossein Abad, Zahra, Xiong, Xin, Bonzel, Clara-Lea, Xia, Zongqi, Tan, Bryce W. Q., Avillach, Paul, Brat, Gabriel A., Hong, Chuan, Morris, Michele, Visweswaran, Shyam, Patel, Lav P., Gutiérrez-Sacristán, Alba, Hanauer, David A., Holmes, John H., Samayamuthu, Malarkodi Jebathilagam, Bourgeois, Florence T., L’Yi, Sehi, Maidlow, Sarah E., Moal, Bertrand, Murphy, Shawn N., Strasser, Zachary H., Neuraz, Antoine, Ngiam, Kee Yuan, Loh, Ne Hooi Will, Omenn, Gilbert S., Prunotto, Andrea, Dalvin, Lauren A., Klann, Jeffrey G., Schubert, Petra, Vidorreta, Fernando J. Sanz, Benoit, Vincent, Verdy, Guillaume, Kavuluru, Ramakanth, Estiri, Hossein, Luo, Yuan, Malovini, Alberto, Tibollo, Valentina, Bellazzi, Riccardo, Cho, Kelly, Ho, Yuk-Lam, Tan, Amelia L. M., Tan, Byorn W. L., Gehlenborg, Nils, Lozano-Zahonero, Sara, Jouhet, Vianney, Chiovato, Luca, Aronow, Bruce J., Toh, Emma M. S., Wong, Wei Gen Scott, Pizzimenti, Sara, Wagholikar, Kavishwar B., Bucalo, Mauro, Cai, Tianxi, South, Andrew M., Kohane, Isaac S., Weber, Griffin M.

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Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium von Gutiérrez-Sacristán, Alba, Makwana, Simran, Omenn, Gilbert S., Bonzel, Clara-Lea, Issitt, Richard W., Laird-Gion, Jessica, Mandl, Kenneth D., Moshal, Karyn L., Amendola, Danilo F., Anthony, Li LLJ, Atz, Andrew, Panickan, Vidul Ayakulangara, Badenes, Rafael, Beaulieu-Jones, Brendin R., Bellasi, Antonio, Bellazzi, Riccardo, Bernaux, Mélodie, Bey, Romain, Bonzel, Clara-Lea, Booth, John, Brat, Gabriel A., Bruno, Raffaele, Bryant, William A., Carmona, Aldo, Caucheteux, Charlotte, Chen, Krista Y., Cormont, Sylvie, Cruz-Rojo, Jaime, Das, Priyam, Duan, Rui, Getzen, Emily J., González, Tomás González, Gradinger, Tobias, Griffon, Nicolas, Grisel, Olivier, Hazard, Derek Y., He, Bing, Ho, Yuk-Lam, Huling, Kenneth M., Hutch, Meghan R., Kainth, Mundeep K., Kernan, Kate F., Key, Daniel A., Klann, Jeffrey G., Krishnamurthy, Ashok K., Leblanc, Judith, Lemaitre, Guillaume, Lenert, Leslie, Liu, Molei, Long, Qi, Lozano-Zahonero, Sara, Luo, Yuan, Lynch, Kristine E., Maidlow, Sarah E., Makoudjou, Adeline, Makwana, Simran, Malovini, Alberto, Masino, Aaron J., Mazzotti, Diego R., Mensch, Arthur, Moraleda, Cinta, Morris, Jeffrey S., Morris, Michele, Moshal, Karyn L., Mousavi, Sajad, Murphy, Shawn N., Naughton, Thomas P., Neuraz, Antoine, Ngiam, Kee Yuan, Omenn, Gilbert S., Orlova, Nina, Ostasiewski, Brian D., Palmer, Nathan P., Patel, Lav P., Pfaff, Emily R., Prunotto, Andrea, Quirós-González, Víctor, Ramoni, Rachel B., Roig-Domínguez, Gustavo, Sacchi, Paolo, Santhanam, Nandhini, Schriver, Emily R., Schubert, Petra, Schuettler, Juergen, Silvio, Domenick, Sliz, Piotr, Sonday, Charles, Tan, Amelia LM, Tan, Bryce W.Q., Terriza-Torres, Ana I., Tippmann, Patric, Vallejos, Andrew K., Vella, Margaret E., Vie, Jill-Jênn, Visweswaran, Shyam, Vitacca, Michele, Xiong, Xin, Ye, Ye, Yehya, Nadir, Zhang, Harrison G.

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Detection of Asynchronous Concatenation Emergent Behaviour in Multi-Agent Systems von Slama, Anja, Abad, Zahra Shakeri Hossein, Far, Behrouz

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