June 10, 2026 article Open access Development and evaluation of a machine learning-based risk prediction model for enteral feeding intolerance in sepsis patients Frontiers in Nutrition DOI: 10.3389/fnut.2026.1858783 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods 2024 BMJ article Decision Sciences Meta-analysis and systematic reviews Open access cited by 3 patents 3,889 citations Gastrointestinal dysfunction in the critically ill: a systematic scoping review and research agenda proposed by the Section of Metabolism, Endocrinology and Nutrition of the European Society of Intensive Care Medicine 2020 Critical Care article Nursing Clinical Nutrition and Gastroenterology Open access 226 citations 2 results