Natural Language Processing for EHR-Based Computational Phenotyping
Zeng, Zexian, Deng, Yu, Li, Xiaoyu, Naumann, Tristan, Luo, Yuan
Published in IEEE/ACM transactions on computational biology and bioinformatics (01.01.2019)
Published in IEEE/ACM transactions on computational biology and bioinformatics (01.01.2019)
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Journal Article
The role of machine learning in clinical research: transforming the future of evidence generation
Weissler, E Hope, Naumann, Tristan, Andersson, Tomas, Ranganath, Rajesh, Elemento, Olivier, Luo, Yuan, Freitag, Daniel F, Benoit, James, Hughes, Michael C, Khan, Faisal, Slater, Paul, Shameer, Khader, Roe, Matthew, Hutchison, Emmette, Kollins, Scott H, Broedl, Uli, Meng, Zhaoling, Wong, Jennifer L, Curtis, Lesley, Huang, Erich, Ghassemi, Marzyeh
Published in Current controlled trials in cardiovascular medicine (16.08.2021)
Published in Current controlled trials in cardiovascular medicine (16.08.2021)
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Journal Article
Practical guidance on artificial intelligence for health-care data
Ghassemi, Marzyeh, Naumann, Tristan, Schulam, Peter, Beam, Andrew L, Chen, Irene Y, Ranganath, Rajesh
Published in The Lancet. Digital health (01.08.2019)
Published in The Lancet. Digital health (01.08.2019)
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Journal Article
Making big data useful for health care: a summary of the inaugural mit critical data conference
Badawi, Omar, Brennan, Thomas, Celi, Leo Anthony, Feng, Mengling, Ghassemi, Marzyeh, Ippolito, Andrea, Johnson, Alistair, Mark, Roger G, Mayaud, Louis, Moody, George, Moses, Christopher, Naumann, Tristan, Pimentel, Marco, Pollard, Tom J, Santos, Mauro, Stone, David J, Zimolzak, Andrew
Published in JMIR medical informatics (22.08.2014)
Published in JMIR medical informatics (22.08.2014)
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Journal Article
Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
Balagopalan, Aparna, Baldini, Ioana, Celi, Leo Anthony, Gichoya, Judy, McCoy, Liam G, Naumann, Tristan, Shalit, Uri, van der Schaar, Mihaela, Wagstaff, Kiri L
Published in PLOS digital health (01.04.2024)
Published in PLOS digital health (01.04.2024)
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Journal Article
Correction to: The role of machine learning in clinical research: transforming the future of evidence generation
Weissler, E. Hope, Naumann, Tristan, Andersson, Tomas, Ranganath, Rajesh, Elemento, Olivier, Luo, Yuan, Freitag, Daniel F., Benoit, James, Hughes, Michael C., Khan, Faisal, Slater, Paul, Shameer, Khader, Roe, Matthew, Hutchison, Emmette, Kollins, Scott H., Broedl, Uli, Meng, Zhaoling, Wong, Jennifer L., Curtis, Lesley, Huang, Erich, Ghassemi, Marzyeh
Published in Current controlled trials in cardiovascular medicine (06.09.2021)
Published in Current controlled trials in cardiovascular medicine (06.09.2021)
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Journal Article
Fine-tuning large neural language models for biomedical natural language processing
Tinn, Robert, Cheng, Hao, Gu, Yu, Usuyama, Naoto, Liu, Xiaodong, Naumann, Tristan, Gao, Jianfeng, Poon, Hoifung
Published in Patterns (New York, N.Y.) (14.04.2023)
Published in Patterns (New York, N.Y.) (14.04.2023)
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Journal Article
A whole-slide foundation model for digital pathology from real-world data
Xu, Hanwen, Usuyama, Naoto, Bagga, Jaspreet, Zhang, Sheng, Rao, Rajesh, Naumann, Tristan, Wong, Cliff, Gero, Zelalem, González, Javier, Gu, Yu, Xu, Yanbo, Wei, Mu, Wang, Wenhui, Ma, Shuming, Wei, Furu, Yang, Jianwei, Li, Chunyuan, Gao, Jianfeng, Rosemon, Jaylen, Bower, Tucker, Lee, Soohee, Weerasinghe, Roshanthi, Wright, Bill J, Robicsek, Ari, Piening, Brian, Bifulco, Carlo, Wang, Sheng, Poon, Hoifung
Published in Nature (London) (22.05.2024)
Published in Nature (London) (22.05.2024)
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Journal Article
A "datathon" model to support cross-disciplinary collaboration
Aboab, Jerôme, Celi, Leo Anthony, Charlton, Peter, Feng, Mengling, Ghassemi, Mohammad, Marshall, Dominic C, Mayaud, Louis, Naumann, Tristan, McCague, Ned, Paik, Kenneth E, Pollard, Tom J, Resche-Rigon, Matthieu, Salciccioli, Justin D, Stone, David J
Published in Science translational medicine (06.04.2016)
Published in Science translational medicine (06.04.2016)
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Journal Article
Trends and Focus of Machine Learning Applications for Health Research
Beaulieu-Jones, Brett, Finlayson, Samuel G., Chivers, Corey, Chen, Irene, McDermott, Matthew, Kandola, Jaz, Dalca, Adrian V., Beam, Andrew, Fiterau, Madalina, Naumann, Tristan
Published in JAMA network open (02.10.2019)
Published in JAMA network open (02.10.2019)
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Journal Article
Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
Aparna Balagopalan, Ioana Baldini, Leo Anthony Celi, Judy Gichoya, Liam G McCoy, Tristan Naumann, Uri Shalit, Mihaela van der Schaar, Kiri L Wagstaff
Published in PLOS digital health (01.04.2024)
Published in PLOS digital health (01.04.2024)
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Journal Article
Datathons and Software to Promote Reproducible Research
Celi, Leo Anthony, Lokhandwala, Sharukh, Montgomery, Robert, Moses, Christopher, Naumann, Tristan, Pollard, Tom, Spitz, Daniel, Stretch, Robert
Published in Journal of medical Internet research (24.08.2016)
Published in Journal of medical Internet research (24.08.2016)
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Journal Article
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
Preston, Sam, Wei, Mu, Rao, Rajesh, Tinn, Robert, Usuyama, Naoto, Lucas, Michael, Gu, Yu, Weerasinghe, Roshanthi, Lee, Soohee, Piening, Brian, Tittel, Paul, Valluri, Naveen, Naumann, Tristan, Bifulco, Carlo, Poon, Hoifung
Published in Patterns (New York, N.Y.) (14.04.2023)
Published in Patterns (New York, N.Y.) (14.04.2023)
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Journal Article
Compositional Zero-Shot Domain Transfer with Text-to-Text Models
Liu, Fangyu, Liu, Qianchu, Bannur, Shruthi, Pérez-García, Fernando, Usuyama, Naoto, Zhang, Sheng, Naumann, Tristan, Nori, Aditya, Poon, Hoifung, Alvarez-Valle, Javier, Oktay, Ozan, Hyland, Stephanie L.
Published in Transactions of the Association for Computational Linguistics (01.09.2023)
Published in Transactions of the Association for Computational Linguistics (01.09.2023)
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Journal Article
Unfolding Physiological State: Mortality Modelling in Intensive Care Units
Ghassemi, Marzyeh, Naumann, Tristan, Doshi-Velez, Finale, Brimmer, Nicole, Joshi, Rohit, Rumshisky, Anna, Szolovits, Peter
Published in Proceedings / International Conference on Knowledge Discovery and Data Mining (24.08.2014)
Published in Proceedings / International Conference on Knowledge Discovery and Data Mining (24.08.2014)
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Journal Article
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Zhou, Wenxuan, Zhang, Sheng, Naumann, Tristan, Chen, Muhao, Poon, Hoifung
Published in arXiv.org (31.05.2023)
Published in arXiv.org (31.05.2023)
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Journal Article
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Singh, Chandan, Xie, Yiqing, Zhang, Sheng, Naumann, Tristan, Gao, Jianfeng, Poon, Hoifung
Published in arXiv.org (01.03.2024)
Published in arXiv.org (01.03.2024)
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Journal Article
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
Hsu, Aliyah R, Cherapanamjeri, Yeshwanth, Park, Briton, Naumann, Tristan, Odisho, Anobel Y, Yu, Bin
Published in arXiv.org (26.02.2024)
Published in arXiv.org (26.02.2024)
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Journal Article