Authors : Xue M; Hospital of Traditional Chinese Medicine Affiliated to the Fourth Clinical Medical College of Xinjiang Medical University, Urumqi, China.; College of Public Health, Xinjiang Medical University, Urumqi, China.

Subjects: Machine Learning*; Diabetes Mellitus, Type 2/Diabetes Mellitus, Type 2/Diabetes Mellitus, Type 2/*diagnosis ; Diabetes Mellitus, Type 2/Diabetes Mellitus, Type 2/Diabetes Mellitus, Type 2/*ethnology

Source: Journal of diabetes research [J Diabetes Res] 2020 Sep 24; Vol. 2020, pp. 6873891. Date of Electronic Publication: 2020 Sep 24 (Print Publication: 2020).Publisher: Hindawi Limited Country of Publication: England NLM ID: 101605237 Publication Model: eCollection Cited Medium:

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Enhancing Fault Detection and Classification in MMC-HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods.

Authors : Hazim Hameed Hameed, Omar¹ (AUTHOR); Kutbay, Uğurhan¹ (AUTHOR); Rahebi, Javad² (AUTHOR)

Subjects: Optimization algorithms; Machine learning; Artificial neural networks

Source: International Transactions on Electrical Energy Systems. 2/13/2024, Vol. 2024, p1-15. 15p.

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Machine learning analysis of heart rate variability to detect delayed cerebral ischemia in subarachnoid hemorrhage.

Authors : Odenstedt Hergès, Helena (AUTHOR); Vithal, Richard (AUTHOR); El‐Merhi, Ali (AUTHOR)

Subjects: HEART beat; CEREBRAL ischemia; SUBARACHNOID hemorrhageGOTEBORG (Sweden)

Source: Acta Neurologica Scandinavica. Feb2022, Vol. 145 Issue 2, p151-159. 9p.

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Performance Prediction and Optimization of Single-Piston Free Piston Expander-Linear Generator Based on Machine Learning and Genetic Algorithm.

Authors : Li, Jian; Zuo, Zhengxing; Jia, Boru

Subjects: MACHINE learning; WILCOXON signed-rank test; BACK propagation

Source: International Journal of Energy Research; 3/8/2024, Vol. 2024, p1-22, 22p

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Predicting Personal Exposure to PM2.5 Using Different Determinants and Machine Learning Algorithms in Two Megacities, China.

Authors : Li, Na; Li, Yunpu; Xu, Dongqun

Subjects: RANDOM forest algorithms; BOOSTING algorithms; SUPPORT vector machinesNANJING (Jiangsu Sheng, China); CHINA

Source: Indoor Air; 3/8/2024, Vol. 2024, p1-11, 11p

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Continuous and Unconstrained Tremor Monitoring in Parkinson's Disease Using Supervised Machine Learning and Wearable Sensors.

Authors : Rodriguez, Fernando; Krauss, Philipp; Kluckert, Jonas

Subjects: STATISTICAL sampling; WEARABLE technology; PARKINSON'S disease

Source: Parkinson's Disease (20420080); 5/20/2024, Vol. 2024, p1-11, 11p

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Machine Learning Algorithms for Predicting Energy Consumption in Educational Buildings.

Authors : Elhabyb, Khaoula; Baina, Amine; Bellafkih, Mostafa

Subjects: MACHINE learning; ENERGY consumption of buildings; ENERGY consumption

Source: International Journal of Energy Research; 5/13/2024, Vol. 2024, p1-19, 19p

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Optimal PMU Placement for Fault Classification and Localization Using Enhanced Feature Selection in Machine Learning Algorithms.

Authors : Faza, Ayman; Al-Mousa, Amjed; Alqudah, Rajaa

Subjects: FEATURE selection; PHASOR measurement; NAIVE Bayes classification

Source: International Journal of Energy Research; 4/22/2024, Vol. 2024, p1-19, 19p

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Effective and Efficient Android Malware Detection and Category Classification Using the Enhanced KronoDroid Dataset.

Authors : Waheed, Mudassar; Qadir, Sana

Subjects: MACHINE learning; SUPERVISED learning; MOBILE operating systems

Source: Security & Communication Networks; 4/8/2024, Vol. 2024, p1-13, 13p

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Development and Internal Validation of Machine Learning Algorithms for Determining Sodium Valproate Concentrations below the Standard Level Using a Risk Prediction Model of Children with Epilepsy.

Authors : Yao, Yinhui; Zhao, Jingyi; Wang, Ying

Subjects: BIOMARKERS; REFERENCE values; RESEARCH evaluation

Source: Journal of Clinical Pharmacy & Therapeutics. 9/22/2023, p1-11. 11p.

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Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Enhancing Fault Detection and Classification in MMC-HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods.

Machine learning analysis of heart rate variability to detect delayed cerebral ischemia in subarachnoid hemorrhage.

Performance Prediction and Optimization of Single-Piston Free Piston Expander-Linear Generator Based on Machine Learning and Genetic Algorithm.

Predicting Personal Exposure to PM2.5 Using Different Determinants and Machine Learning Algorithms in Two Megacities, China.

Continuous and Unconstrained Tremor Monitoring in Parkinson's Disease Using Supervised Machine Learning and Wearable Sensors.

Machine Learning Algorithms for Predicting Energy Consumption in Educational Buildings.

Optimal PMU Placement for Fault Classification and Localization Using Enhanced Feature Selection in Machine Learning Algorithms.

Effective and Efficient Android Malware Detection and Category Classification Using the Enhanced KronoDroid Dataset.

Development and Internal Validation of Machine Learning Algorithms for Determining Sodium Valproate Concentrations below the Standard Level Using a Risk Prediction Model of Children with Epilepsy.

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