November 21, 2022 article Open access Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ARDS in intensive care units Heart & Lung DOI: 10.1016/j.hrtlng.2022.11.005 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 47 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 Predicting Outcome and Duration of Mechanical Ventilation in Acute Hypoxemic Respiratory Failure: The PREMIER Study 2025 Journal of Clinical Medicine article Medicine Respiratory Support and Mechanisms Open access 1 citations Predicting a Sudden Decrease in Oxygenation in Mechanically Ventilated Intensive Care Patients as a Surrogate Marker for Acute Respiratory Distress Syndrome 2025 SSRN Electronic Journal preprint Medicine Respiratory Support and Mechanisms Open access 0 citations Predicting the Length of Mechanical Ventilation in Acute Respiratory Disease Syndrome Using Machine Learning: The PIONEER Study 2024 Journal of Clinical Medicine article Medicine Respiratory Support and Mechanisms Open access 8 citations 3 results References 0