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Predicting hypertension without measurement: A non-invasive, questionnaire-based approach., , , , и . Expert Syst. Appl., 42 (21): 7601-7609 (2015)Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model., , , , и . Appl. Artif. Intell., (2022)COSense: collaborative and opportunistic sensing of road events by vehicles' cameras., , , , и . CCF Trans. Pervasive Comput. Interact., 5 (3): 276-287 (сентября 2023)Streaming feature-based causal structure learning algorithm with symmetrical uncertainty., , , , и . Inf. Sci., (2018)Additive Noise Model Structure Learning Based on Rank Statistics., , , , и . KSEM, том 12815 из Lecture Notes in Computer Science, стр. 128-139. Springer, (2021)Multi-domain Feature Extraction for Human Activity Recognition Using Wearable Sensors., , , , и . NaNA, стр. 254-259. IEEE, (2021)A Logistic Regression and Artificial Neural Network-Based Approach for Chronic Disease Prediction: A Case Study of Hypertension., , , , и . iThings/GreenCom/CPSCom, стр. 45-52. IEEE Computer Society, (2014)Human Activity Recognition from Accelerometer Data: Axis-Wise Versus Axes-Resultant Feature Extraction., , и . CSAE, стр. 77:1-77:5. ACM, (2021)Characteristics of Co-Seismic Surface Rupture of the 2021 Maduo Mw 7.4 Earthquake and Its Tectonic Implications for Northern Qinghai-Tibet Plateau., , , , , , , и . Remote. Sens., 14 (17): 4154 (2022)Comprehensive analysis of heart rate variability features for accurate prediction of paroxysmal atrial fibrillation., , , , , , , и . Biomed. Signal Process. Control., 87 (Part A): 105489 (января 2024)