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- Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative
- Bergquist, Timothy; Loomba, Johanna; Pfaff, Emily; Xia, Fangfang; Zhao, Zixuan; Zhu, Yitan; Mitchell, Elliot; Bhattacharya, Biplab; Shetty, Gaurav; Munia, Tamanna; Delong, Grant; Tariq, Adbul; Butzin-Dozier, Zachary; Ji, Yunwen; Li, Haodong; Coyle, Jeremy; Shi, Seraphina; Philips, Rachael V.; Mertens, Andrew; Pirracchio, Romain; van der Laan, Mark; Colford Jr., John M.; Hubbard, Alan; Gao, Jifan; Chen, Guanhua; Velingker, Neelay; Li, Ziyang; Wu, Yinjun; Stein, Adam; Huang, Jiani; Dai, Zongyu; Long, Qi; Naik, Mayur; Holmes, John; Mowery, Danielle; Wong, Eric; Parekh, Ravi; Getzen, Emily; Hightower, Jake; Blase, Jennifer; Aggarwal, Ataes; Agor, Joseph; Al-Amery, Amera; Aminu, Oluwatobiloba; Anand, Adit; Antonescu, Corneliu; Arora, Mehak; Asaduzzaman, Sayed; Asmussen, Tanner; Baghbanzadeh, Mahdi; Baker, Frazier; Bangert, Bridget; Bekhet, Laila; Bhattacharya, Biplab; Blase, Jenny; Butzin-Dozier, Zachary; Caffo, Brian; Chang, Hao; Ch; ; (EBioMedicine, v.108, 2024, pp.105333)
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