Found: 19
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Discharge recommendation based on a novel technique of homeostatic analysis.
- Published in:
- 2017
- By:
- Publication type:
- journal article
Collapse and diffusion in harmonic activation and transport.
- Published in:
- Forum of Mathematics, Sigma, 2023, v. 11, p. 1, doi. 10.1017/fms.2023.81
- By:
- Publication type:
- Article
Predicting pulmonary embolism among hospitalized patients with machine learning algorithms.
- Published in:
- Pulmonary Circulation, 2022, v. 12, n. 1, p. 1, doi. 10.1002/pul2.12013
- By:
- Publication type:
- Article
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.
- Published in:
- JMIR Formative Research, 2021, v. 5, n. 9, p. 1, doi. 10.2196/28028
- By:
- Publication type:
- Article
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data.
- Published in:
- Canadian Journal of Kidney Health & Disease, 2018, v. 5, p. 1, doi. 10.1177/2054358118776326
- By:
- Publication type:
- Article
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data.
- Published in:
- Canadian Journal of Kidney Health & Disease, 2018, v. 5, p. 1, doi. 10.1177/2054358118776326
- By:
- Publication type:
- Article
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction.
- Published in:
- Health Informatics Journal, 2020, v. 26, n. 3, p. 1912, doi. 10.1177/1460458219894494
- By:
- Publication type:
- Article
A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients.
- Published in:
- Applied Sciences (2076-3417), 2021, v. 11, n. 12, p. 5576, doi. 10.3390/app11125576
- By:
- Publication type:
- Article
A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients.
- Published in:
- Clinical & Applied Thrombosis/Hemostasis, 2021, v. 27, p. 1, doi. 10.1177/1076029621991185
- By:
- Publication type:
- Article
Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients.
- Published in:
- Diagnostics (2075-4418), 2019, v. 9, n. 1, p. 20, doi. 10.3390/diagnostics9010020
- By:
- Publication type:
- Article
Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting.
- Published in:
- Biomedical Informatics Insights, 2017, n. 9, p. 1, doi. 10.1177/1178222617712994
- By:
- Publication type:
- Article
Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis.
- Published in:
- JGH Open, 2022, v. 6, n. 3, p. 196, doi. 10.1002/jgh3.12716
- By:
- Publication type:
- Article
Quantitative analysis and prediction of G-quadruplex forming sequences in double-stranded DNA.
- Published in:
- Nucleic Acids Research, 2016, v. 44, n. 10, p. 4807, doi. 10.1093/nar/gkw272
- By:
- Publication type:
- Article
G-quadruplex formation in double strand DNA probed by NMM and CV fluorescence.
- Published in:
- Nucleic Acids Research, 2015, v. 43, n. 16, p. 7961, doi. 10.1093/nar/gkv749
- By:
- Publication type:
- Article
Predicting Falls in Long-term Care Facilities: Machine Learning Study.
- Published in:
- JMIR Aging, 2022, v. 5, n. 2, p. 1, doi. 10.2196/35373
- By:
- Publication type:
- Article
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification.
- Published in:
- Healthcare Technology Letters, 2021, v. 8, n. 6, p. 139, doi. 10.1049/htl2.12017
- By:
- Publication type:
- Article
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?—The IDENTIFY Trial.
- Published in:
- Journal of Clinical Medicine, 2020, v. 9, n. 12, p. 3834, doi. 10.3390/jcm9123834
- By:
- Publication type:
- Article
Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.
- Published in:
- Frontiers in Neurology, 2022, v. 12, p. 1, doi. 10.3389/fneur.2021.784250
- By:
- Publication type:
- Article
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.
- Published in:
- BioData Mining, 2021, v. 14, n. 1, p. 1, doi. 10.1186/s13040-021-00255-w
- By:
- Publication type:
- Article