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, 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; Chen, Zeyuan; Chen, Jiandong; Chiang, Jeffrey; Cho, Peter; Cockrell, Robert; Combs, Parker; Coyle, Jeremy; Crosby, Ciara; Dai, Zongyu; Dai, Ran; Danesharasteh, Anseh; Yildirim, Elif; Delong, Grant; Demilt, Ryan; Deng, Kaiwen; Dey, Sanjoy; Dhamdhere, Rohan; Dickson, Andrew; Dijour, Phoebe; Dinh, Dong; Dixon, Richard; Domi, Albi; Dutta, Souradeep; Elizondo, Mirna; Ertem, Zeynep; Feuerwerker, Solomon; Fliss, Danica; Fowler, Jennifer; Fu, Sunyang; Gardner, Kelly; Getty, Neil; Ghalwash, Mohamed; Gloster, Logan; Greer, Phil; Guan, Yuanfang; Ham, Colby; Hanoudi, Samer; Harper, Jeremy; Hendrix, Nathaniel; Hershkovich, Leeor; Hightower, Jake; Hu, Junjie; Huang, Jiani; Huang, Yu; Huang, Tongtong; Hur, Junguk; Isgut, Monica; Ismail, Hamid; Izmirlian, Grant; Jang, Kuk; Jemiyo, Christianah; Jeong, Hayoung; Ji, Yunwen; Ji, Xiayan; Jiang, Ming; Jiang, Sihang; Jiang, Xiaoqian; Jiang, Yuye; Johnson, Akin; Analyst, Zach; Kapse, Saarthak; Kartoun, Uri; KC, Dukka; Fard, Zahra; Kosfeld, Tim; Krichevsky, Spencer; Kuo, Mike; Larie, Dale; Lederer, Lauren; Leng, Shan; Li, Ziyang; Li, Hongyang; Li, Haodong; Li, Jianfu; Li, Tiantian; Liang, Xinwen; Liang, Hengyue; Liu, Feifan; Liu, Daniel; Luo, Gang; Munia, Tamanna; Madduri, Ravi; Madhira, Vithal; Mani, Shivali; Mansourifard, Farzaneh; Matson, Robert; Mertens, Andrew; Metsis, Vangelis; Meyer, Pablo; Mikhailova, Catherine; Miller, Dante; Milo, Christopher; Mitchell, Elliot; Modanwal, Gourav; Moore, Ronald; Morgenthaler, David; Musal, Rasim; Naik, Mayur; Nalawade, Vinit; Narain, Rohan; Narendrula, Saideep; Obiri, Alena; Okawa, Satoshi; Okechukwu, Chima; Olorunnisola, Toluwanimi; Ossowski, Tim; Parekh, Harsh; Park, Jean; Patel, Saaya; Patterson, Jason; Paul, Chetan; Peng, Le; Perkins, Diana; Pokharel, Suresh; Poplavskiy, Dmytro; Pryor, Zach; Pungitore, Sarah; Qin, Hong; Rababa, Salahaldeen; Rahman, Mahbubur; Rahmani, Elior; Rahnavard, Gholamali; Raihan, Md; Rajendran, Suraj; Ravichandran, Sarangan; Reddy, Chandan; Reyes, Abel; Roghanizad, Ali; Rouffa, Sean; Ruan, Xiaoyang; Saha, Arpita; Sawant, Sahil; Schiaffino, Melody; Seira, Diego; Sengupta, Saurav; Shalaev, Ruslan; Shetty, Gaurav; Shi, Seraphina; Shinguyen, Linh; Singh, Karnika; Sinha, Soumya; Socia, Damien; Stalians, Halen; Stavropoulos, Charalambos; Strube, Jan; Subramanian, Devika; Sun, Jiehuan; Sun, Ju; Sun, Chengkun; Sundararajan, Prathic; Talebi, Salmonn; Tawiah, Edward; Tesic, Jelena; Thiess, Mikaela; Tian, Raymond; Torre-Healy; Ming-Tse Tsai, Luke; Tyus, David; Vardhan, Madhurima; Velingker, Neelay; Walzer, Benjamin; Walzer, Jacob; Wang, Junda; Wang, Lu; Wang, Will; Wang, Jonathan; Wang, Yisen; Weatherly, Chad; Wu, Fanyou; Wu, Yifeng; Wu, Yinjun; Xia, Fangfang; Yan, Hao; Yang, Zhichao; Ye, Biao; Yin, Rui; Yin, Changyu; Yoo, Yun; You, Albert; Yu, June; Zanaj, Martin; Zaiman, Zachary; Zhang, Kai; Zhang, Xiaoyi; Zhang, Tianmai; Zhao, Zixuan; Zhi, Degui; Zhong, Yishan; Zhou, Huixue; Zhou, Andrea; Zhu, Yuanda; Zhu, Yitan; Zhu, Sophie; Adams, Meredith; Alexander, Caleb; Amor, Benjamin; Anzalone, Alfred; Bates, Benjamin; Beasley, Will; Bennett, Tellen; Bissell, Mark; Boudreau, Eilis; Bozzette, Samuel; Bradwell, Katie; Bramante, Carolyn; Brown, Don; Burgoon, Penny; Buse, John; Callahan, Tiffany; Cato, Kenrick; Chapman, Scott; Chute, Christopher; Clark, Jaylyn; Clark, Marshall; Cooper, Will; Cottrell, Lesley; Crowley, Karen; Deacy, Mariam; Dillon, Christopher; Eichmann, David; Emmett, Mary; Erwin-Cohen, Rebecca; Francis, Patricia; French, Evan; Fuentes, Rafael; Gabriel, Davera; Gagnier, Joel; Garbarini, Nicole; Ge, Jin; Gersing, Kenneth; Girvin, Andrew; Gordon, Valery; Graves, Alexis; Guinney, Justin; Haendel, Melissa; Harper, Jeremy; Hayanga, J.W.; Hendricks, Brian; Hernandez, Wenndy; Hill, Elaine; Hillegass, William; Hong, Stephanie; Housman, Dan; Hurley, Robert; Islam, Jessica; Jawa, Randeep; Johnson, Steve; Kamaleswaran, Rishi; Kibbe, Warren; Koraishy, Farrukh; Kostka, Kristin; Kurilla, Michael; Lee, Adam; Lehmann, Harold; Liu, Hongfang; Loomba, Johanna; Madlock-Brown; Sandeep Mallipattu, Charisse; Manna, Amin; Mariona, Federico; Marti, Emily; Martin, Greg; Mathew, Jomol; Mazzotti, Diego; McMurry, Julie; Mehta, Hemalkumar; Michael, Sam; Miller, Robert; Misquitta, Leonie; Moffitt, Richard; Morris, Michele; Murray, Kimberly; Northington, Lavance; O’Neil, Shawn; Olex, Amy; Palchuk, Matvey; Patel, Brijesh; Patel, Rena; Payne, Philip; Pfaff, Emily; Pincavitch, Jami; Portilla, Lili; Prior, Fred; Pyarajan, Saiju; Pyles, Lee; Qureshi, Nabeel; Robinson, Peter; Rutter, Joni; Sadan, Ofer; Safdar, Nasia; Saha, Amit; Saltz, Joel; Saltz, Mary; Schmitt, Clare; Setoguchi, Soko; Sharafeldin, Noha; Sharathkumar, Anjali; Sheikh, Usman; Sidky, Hythem; Sokos, George; Southerland, Andrew; Spratt, Heidi; Starren, Justin; Subbian, Vignesh; Suver, Christine; Takemoto, Cliff; Temple-O'Connor, Meredith; Topaloglu, Umit; Vedula, Satyanarayana; Walden, Anita; Walters, Kellie; Ward-Caviness, Cavin; Wilcox, Adam; Wilkins, Ken; Williams, Andrew; Wu, Chunlei; Zampino, Elizabeth; Zhang, Xiaohan; Zhou, Andrea; Zhu, Richard

doi:10.1016/j.ebiom.2024.105333

eBioMedicine

2024

DOI: 10.1016/j.ebiom.2024.105333

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Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

Timothy Bergquist,

Johanna Loomba,

Emily Pfaff

et al.

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Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

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