Pragmatic reproducible research: improving the research process from raw data to results, bit by bit by Luke V. Rasmussen, Eric W. Whitley, Leah J. Welty

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The epidemiology of errors in data capture, management, and analysis: A scoping review of retracted articles and retraction notices in clinical and translational research by Abigail S. Baldridge, Grace C. Bellinger, Oriana M. Fleming, Luke V. Rasmussen, Eric W. Whitley, Leah J. Welty

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331 Reusing EHR Phenotyping Algorithms in Practice: Developing the Colorado Diabetes EHR Research Repository (CODER) by Melissa P. Wilson, David A. Mayer, Luke V. Rasmussen, Pramod Khanal, Maryam Nuriyeva, Michael McRae, Sridharan Raghavan, Laura K. Wiley

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Subphenotyping depression using machine learning and electronic health records by Zhenxing Xu, Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Jennifer A. Pacheco, Luke V. Rasmussen, Jie Xu, George Alexopoulos, Jyotishman Pathak

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Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language by Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan T. Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen

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Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records by Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak

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Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records by Zhenxing Xu, Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Luke V. Rasmussen, Jie Xu, Yunyu Xiao, George Alexopoulos, Jyotishman Pathak

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Implementation of a culturally competent APOL1 genetic testing programme into living donor evaluation: A two-site, non-randomised, pre–post trial design by Matthew Cooper, Justin D Smith, Clyde W Yancy, Elisa J Gordon, Akansha Agrawal, Catherine Wicklund, Debra Duquette, John Friedewald, Luke V Rasmussen, Jessica Gacki-Smith, S. Darius Tandon, Lutfiyya N Muhammad, Siyuan Dong, Alexander Gilbert, Aneesha Shetty

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Addressing barriers in FAIR data practices for biomedical data by Laura D. Hughes, Ginger Tsueng, Jack DiGiovanna, Thomas D. Horvath, Luke V. Rasmussen, Tor C. Savidge, Thomas Stoeger, Serdar Turkarslan, Qinglong Wu, Chunlei Wu, Andrew I. Su, Lars Pache, the NIAID Systems Biology Data Dissemination Working Group

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Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study by Prakash Adekkanattu, Luke V. Rasmussen, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Guoqian Jiang, Yuan Luo, Pascal S. Brandt, Zhenxing Xu, Veer Vekaria, Jie Xu, Fei Wang, Natalie C. Benda, Yifan Peng, Parag Goyal, Faraz S. Ahmad, Jyotishman Pathak

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Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records by Jie Xu, Fei Wang, Chengxi Zang, Hao Zhang, Kellyann Niotis, Ava L. Liberman, Cynthia M. Stonnington, Makoto Ishii, Prakash Adekkanattu, Yuan Luo, Chengsheng Mao, Luke V. Rasmussen, Zhenxing Xu, Pascal Brandt, Jennifer A. Pacheco, Yifan Peng, Guoqian Jiang, Richard Isaacson, Jyotishman Pathak

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1262 Immune checkpoint inhibitor-induced inflammatory arthritis is associated with cutaneous, endocrine, and gastrointestinal immune-related adverse events: a machine learning appr... by Steven Tran, Theresa L Walunas, Jeffrey Sosman, Yuan Luo, Jennifer Pacheco, Abel Kho, Carlos Galvez, Kyle Tegtmeyer, Sara Malik, Luke V Rasmussen, Nisha Mohindra, Jean Lin, Giovanni M Perottino, Kian J Rahbari, Charles D Miller, Jordan D John, Jonathan Theros, Kelly Vogel, Patrick V Dinh, Umar Ramzan

Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Networ... by Marc S. Williams, Casey Overby Taylor, Casey Overby Taylor, Nephi A. Walton, Scott R. Goehringer, Samuel Aronson, Robert R. Freimuth, Luke V. Rasmussen, Eric S. Hall, Cynthia A. Prows, Wendy K. Chung, Alexander Fedotov, Jordan Nestor, Chunhua Weng, Robb K. Rowley, Georgia L. Wiesner, Gail P. Jarvik, Guilherme Del Fiol

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Developing a standardized but extendable framework to increase the findability of infectious disease datasets by Ginger Tsueng, Marco A. Alvarado Cano, José Bento, Candice Czech, Mengjia Kang, Lars Pache, Luke V. Rasmussen, Tor C. Savidge, Justin Starren, Qinglong Wu, Jiwen Xin, Michael R. Yeaman, Xinghua Zhou, Andrew I. Su, Chunlei Wu, Liliana Brown, Reed S. Shabman, Laura D. Hughes, the NIAID Systems Biology Data Dissemination Working Group

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Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions by Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen

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Rapid identification of inflammatory arthritis and associated adverse events following immune checkpoint therapy: a machine learning approach by Steven D. Tran, Steven D. Tran, Jean Lin, Carlos Galvez, Luke V. Rasmussen, Jennifer Pacheco, Giovanni M. Perottino, Kian J. Rahbari, Charles D. Miller, Jordan D. John, Jonathan Theros, Kelly Vogel, Patrick V. Dinh, Sara Malik, Umar Ramzan, Kyle Tegtmeyer, Nisha Mohindra, Nisha Mohindra, Jodi L. Johnson, Jodi L. Johnson, Yuan Luo, Abel Kho, Abel Kho, Jeffrey Sosman, Jeffrey Sosman, Theresa L. Walunas, Theresa L. Walunas

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Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm. by Yoonjung Yoonie Joo, Jennifer A Pacheco, William K Thompson, Laura J Rasmussen-Torvik, Luke V Rasmussen, Frederick T J Lin, Mariza de Andrade, Kenneth M Borthwick, Erwin Bottinger, Andrew Cagan, David S Carrell, Joshua C Denny, Stephen B Ellis, Omri Gottesman, James G Linneman, Jyotishman Pathak, Peggy L Peissig, Ning Shang, Gerard Tromp, Annapoorani Veerappan, Maureen E Smith, Rex L Chisholm, Andrew J Gawron, M Geoffrey Hayes, Abel N Kho

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Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network by Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas Nate Person, David J. Cronkite, Sunghwan Sohn, Shawn Murphy, Justin H. Gundelach, Vivian Gainer, Victor M. Castro, Cong Liu, Frank Mentch, Todd Lingren, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al’ona Furmanchuk, Roshan Patel, David S. Carrell, Yu Deng, Nephi Walton, Benjamin A. Satterfield, Iftikhar J. Kullo, Ozan Dikilitas, Joshua C. Smith, Josh F. Peterson, Ning Shang, Krzysztof Kiryluk, Yizhao Ni, Yikuan Li, Girish N. Nadkarni, Elisabeth A. Rosenthal, Theresa L. Walunas, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, WeiQi Wei

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