Found: 16
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Using Machine Learning for the Risk Factors Classification of Glycemic Control in Type 2 Diabetes Mellitus.
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- Healthcare (2227-9032), 2023, v. 11, n. 8, p. 1141, doi. 10.3390/healthcare11081141
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- Article
Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory.
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- Sensors (14248220), 2022, v. 22, n. 6, p. 2328, doi. 10.3390/s22062328
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- Article
Joint beamforming and power splitting design for MISO downlink communication with SWIPT: a comparison between cell-free massive MIMO and small-cell deployments.
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- EURASIP Journal on Wireless Communications & Networking, 2024, v. 2024, n. 1, p. 1, doi. 10.1186/s13638-024-02345-9
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- Article
Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy.
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- Diagnostics (2075-4418), 2021, v. 11, n. 1, p. 80, doi. 10.3390/diagnostics11010080
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- Article
Using Machine Learning to Predict Bacteremia in Febrile Children Presented to the Emergency Department.
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- Diagnostics (2075-4418), 2020, v. 10, n. 5, p. 307, doi. 10.3390/diagnostics10050307
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- Article
Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach.
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- Journal of Medical Internet Research, 2022, v. 24, n. 12, p. N.PAG, doi. 10.2196/41163
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- Article
Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.
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- BioMed Research International, 2021, p. 1, doi. 10.1155/2021/9590131
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- Article
Risk factors for depression in patients with Parkinson's disease: A nationwide nested case-control study.
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- PLoS ONE, 2020, v. 15, n. 7, p. 1, doi. 10.1371/journal.pone.0236443
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- Article
Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring.
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- Biosensors (2079-6374), 2023, v. 13, n. 1, p. 23, doi. 10.3390/bios13010023
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- Article
Increased ischemic stroke risk in patients with Behçet’s disease: A nationwide population-based cohort study.
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- PLoS ONE, 2019, v. 14, n. 6, p. 1, doi. 10.1371/journal.pone.0218652
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- Article
A Multifactorial Evaluation of the Effects of Air Pollution and Meteorological Factors on Asthma Exacerbation.
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- International Journal of Environmental Research & Public Health, 2020, v. 17, n. 11, p. 4010, doi. 10.3390/ijerph17114010
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- Article
An efficient tabu search for cell planning problem in mobile communication.
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- Wireless Communications & Mobile Computing, 2016, v. 16, n. 4, p. 486, doi. 10.1002/wcm.2549
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- Article
Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department.
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- Journal of Clinical Medicine, 2021, v. 10, n. 9, p. 1875, doi. 10.3390/jcm10091875
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- Article
Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.
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- Clinical Interventions in Aging, 2024, v. 19, p. 1051, doi. 10.2147/CIA.S460562
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- Article
Use of Machine Learning to Differentiate Children With Kawasaki Disease From Other Febrile Children in a Pediatric Emergency Department.
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- JAMA Network Open, 2023, v. 6, n. 4, p. e237489, doi. 10.1001/jamanetworkopen.2023.7489
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- Article
Use of a Deep-Learning Algorithm to Guide Novices in Performing Focused Assessment With Sonography in Trauma.
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- JAMA Network Open, 2023, v. 6, n. 3, p. e235102, doi. 10.1001/jamanetworkopen.2023.5102
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- Article