NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrition in Mechanically Ventilated Patients.
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| Title: | NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrition in Mechanically Ventilated Patients. |
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| Authors: | Jangda M; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Patel J; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA., Vaid A; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Gill J; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., McCarthy P; Division of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, WV, USA., Desman J; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Gupta R; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Patel D; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Kavi N; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Bakare S; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Klang E; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Freeman R; Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Manasia A; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Oropello J; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Chan L; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Suarez-Farinas M; Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Charney AW; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Kohli-Seth R; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Nadkarni GN; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Sakhuja A; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. ankit.sakhuja@mssm.edu.; Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. ankit.sakhuja@mssm.edu.; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. ankit.sakhuja@mssm.edu. |
| Source: | Nature communications [Nat Commun] 2025 Dec 17; Vol. 16 (1), pp. 11189. Date of Electronic Publication: 2025 Dec 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-025-66200-1 |
