草本植物
发表于 2025-3-23 13:22:51
Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case the methods found an intervention plan that leads to recovery as a treatment outcome as predicted. Both methods show high quality, and after validation by physicians, this method can be used as part of a decision support system for medical professionals working with COVID-19 patients.
斜
发表于 2025-3-23 17:36:55
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假装是我
发表于 2025-3-23 19:13:19
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表状态
发表于 2025-3-23 23:51:51
Sustainable Energy for Smart Citieshese features to develop a special model for people suffering from AH. Moreover, we contribute to this field bringing more transparency to the modelling using interpretable machine learning. We also compare the patterns learned by methods with prior information used in heart attack scales and evaluate their efficiency.
躺下残杀
发表于 2025-3-24 03:08:59
Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Modelfied into two classes of data: fibroid and non-fibroid, which is done using the MBF-CDNN method. The method is validated using the parameters Sensitivity, specificity, accuracy, precision, F-measure. It is found that the sensitivity is 94.44%, specificity 95% and accuracy 94.736%.
泄露
发表于 2025-3-24 07:18:07
Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine g models based on RiskSLIM, in addition to being interpretable, perform at least on par with the state-of-the-art ML models such as Gradient Boosting in terms of classification metrics. We show the superiority of FD-RiskSLIM over RiskSLIM.
Constant
发表于 2025-3-24 11:17:42
Neural Additive Models for Explainable Heart Attack Predictionhese features to develop a special model for people suffering from AH. Moreover, we contribute to this field bringing more transparency to the modelling using interpretable machine learning. We also compare the patterns learned by methods with prior information used in heart attack scales and evaluate their efficiency.
独轮车
发表于 2025-3-24 16:56:06
Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography present a pipeline for efficient measurement of HR that includes a learning-based super-resolution preprocessing step. This preprocessing image enhancement step has shown promising results on low-resolution input images and works better on iPPG algorithms. The experimental results verified the reliability of this method.
Tracheotomy
发表于 2025-3-24 21:54:47
Conference proceedings 2022ps/ thematic tracks. ..*The conference was held in a hybrid format.Chapter “GPU Accelerated Modelling and Forecasting for Large Time Series” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
WATER
发表于 2025-3-25 02:51:07
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