Large language models streamline automated machine learning for clinical studies
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DOI: 10.1038/s41467-024-45879-8
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- Karan Singhal & Shekoofeh Azizi & Tao Tu & S. Sara Mahdavi & Jason Wei & Hyung Won Chung & Nathan Scales & Ajay Tanwani & Heather Cole-Lewis & Stephen Pfohl & Perry Payne & Martin Seneviratne & Paul G, 2023. "Publisher Correction: Large language models encode clinical knowledge," Nature, Nature, vol. 620(7973), pages 19-19, August.
- Karan Singhal & Shekoofeh Azizi & Tao Tu & S. Sara Mahdavi & Jason Wei & Hyung Won Chung & Nathan Scales & Ajay Tanwani & Heather Cole-Lewis & Stephen Pfohl & Perry Payne & Martin Seneviratne & Paul G, 2023. "Large language models encode clinical knowledge," Nature, Nature, vol. 620(7972), pages 172-180, August.
- Michael Moor & Oishi Banerjee & Zahra Shakeri Hossein Abad & Harlan M. Krumholz & Jure Leskovec & Eric J. Topol & Pranav Rajpurkar, 2023. "Foundation models for generalist medical artificial intelligence," Nature, Nature, vol. 616(7956), pages 259-265, April.
- Ahsan Huda & Adam Castaño & Anindita Niyogi & Jennifer Schumacher & Michelle Stewart & Marianna Bruno & Mo Hu & Faraz S. Ahmad & Rahul C. Deo & Sanjiv J. Shah, 2021. "A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
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