August 22, 2019 review Open access Use of machine learning to analyse routinely collected intensive care unit data: a systematic review Critical Care DOI: 10.1186/s13054-019-2564-9 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 11 stored of 263 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 Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome 2023 Diagnostics article Medicine Respiratory Support and Mechanisms Open access 7 citations Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model 2022 Critical Care Medicine article Computer Science Machine Learning in Healthcare Open access 44 citations Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study 2022 JMIR Human Factors article Medicine Artificial Intelligence in Healthcare and Education Open access 38 citations Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets 2022 Frontiers in Big Data article Computer Science Machine Learning in Healthcare Open access 12 citations Risk of bias of prognostic models developed using machine learning: a systematic review in oncology 2022 Diagnostic and Prognostic Research review Mathematics Statistical Methods in Epidemiology Open access 80 citations Modern Learning from Big Data in Critical Care: Primum Non Nocere 2022 Neurocritical Care article Computer Science Machine Learning in Healthcare Open access 11 citations Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review 2022 BMC Medical Research Methodology review Mathematics Statistical Methods in Epidemiology Open access 138 citations Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning 2022 Annals of Intensive Care article Medicine Respiratory Support and Mechanisms Open access cited by 1 patent 14 citations Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence 2021 BMJ Open article Decision Sciences Meta-analysis and systematic reviews Open access cited by 1 patent 844 citations Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved 2021 Journal of Clinical Epidemiology article Decision Sciences Meta-analysis and systematic reviews Open access 110 citations Management of ARDS: From ventilation strategies to intelligent technical support – Connecting the dots 2020 Trends in Anaesthesia and Critical Care article Medicine Respiratory Support and Mechanisms Open access 6 citations 11 results References 0