Suchergebnisse - "Extreme gradient boosting algorithm"

A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features von Baki, Neslihan, Gürsel Özmen, Nurhan

“… Parkinson's disease (PD) is a serious neurological disease that is threatening the whole world population. The devolution of the neurons located in the …”
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Assessment of obstructive sleep apnea severity using audio-based snoring features von Xie, Jiali, Fonseca, Pedro, van Dijk, Johannes, Overeem, Sebastiaan, Long, Xi

“… •Novel audio-based features that exploit snoring characteristics including the variability of snoring sounds and trend in snore energy were proposed.•An …”
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Kinetics prediction of normal knee and undergone total knee arthroplasty during squatting based on extreme gradient boosting von Chaiyasit, Kasiwat, Phombut, Chotchuang, Wiangkham, Attasit, Rooppakhun, Supakit

“… -up. The sixty-two subjects, consisting of 31 with normal knees and 31 who had undergone total knee arthroplasty, evaluated the kinetics of the knee joints during squatting using inverse dynamics analysis …”
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Development of a machine learning-based risk prediction model for cerebral infarction and comparison with nomogram model von Li, Xuewen, Wang, Yiting, Xu, Jiancheng

“… ), Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF) were selected to mine all routine test data of the enrolled subjects for screening CI model features …”
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Machine learning predicts the risk of hemorrhagic transformation of acute cerebral infarction and in-hospital death von Li, Xuewen, Xu, Changyan, Shang, Chengming, Wang, Yiting, Xu, Jiancheng, Zhou, Qi

“… •Extreme gradient Boosting algorithm outperforms logistic regression.•HF-Lab10 accurately predicts hemorrhagic transformation …”
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Assessment of Readiness of Croatian Companies to Introduce I4.0 Technologies von Hrbić, Rajka, Grebenar, Tomislav

“… We developed a machine-learning model by using the eXtreme Gradient Boosting algorithm (XGBoost) for this purpose, an approach that has not …”
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Assessment of readiness of Croatian companies to ontroduce I4.0 technologies von Hrbić, Rajka, Grebenar, Tomislav

“… We developed a machine-learning model by using the eXtreme Gradient Boosting algorithm (XGBoost) for this purpose, an approach that has not …”
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Predictors of compulsive cyberporn use: A machine learning analysis von Ben Brahim, Farah, Courtois, Robert, Vera Cruz, Germano, Khazaal, Yasser

“… •Limited research exists on factors predicting or related to CCU.•According to the subjects' CCU scores, 21.96 …”
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Regional Analysis of Earthquakes and Earthquake Magnitude Estimation with Machine Learning Techniques von Habek, Gül Cihan, Kahramanli Örnek, Humar

“… Natural disasters, which have been increasing in recent years due to the impact of climate change, pose a significant threat worldwide. Natural disasters, …”
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Peeking inside the Black Box: Interpretable Machine Learning and Hedonic Rental Estimation von Cajias, Marcelo, Willwersch Jonas, Lorenz, Felix, Fuerst, Franz

“… Machine Learning (ML) can detect complex relationships to solve problems in various research areas. To estimate real estate prices and rents, ML represents a …”
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Comparison of Machine Learning-based Approaches to Predict the Conversion to Alzheimer’s Disease from Mild Cognitive Impairment von Franciotti, Raffaella, Nardini, Davide, Russo, Mirella, Onofrj, Marco, Sensi, Stefano L.

“… – is far from being reached. In this study, we compared the different prognostic performances of three supervised ML algorithms fed with multimodal biomarkers of MCI subjects obtained …”
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Development and validation of a multimodal deep learning framework for vascular cognitive impairment diagnosis von Fan, Fan, Song, Hao, Jiang, Jiu, He, Haoying, Sun, Dong, Xu, Zhipeng, Peng, Sisi, Zhang, Ran, Li, Tian, Cao, Jing, Xu, Juan, Peng, Xiaoxiang, Lei, Ming, He, Chu, Zhang, Junjian

“… Using these data, we developed a multimodal deep learning framework that combined the vision transformer and extreme gradient boosting algorithms …”
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Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort Study von Wheless, Lee, Baker, Laura, Edwards, LaVar, Anand, Nimay, Birdwell, Kelly, Hanlon, Allison, Chren, Mary-Margaret

“… We used Vanderbilt's deidentified version of its electronic health record database, which contains nearly 3 million subjects, to develop algorithms to identify OTRs …”
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Short term net load forecasting using computational intelligence techniques von Laouali, I. H., Italiano, N., Casaleiro, Â., Alvite, I., da Silva, N. P.

“… Net load forecasting has become increasingly complex due to the high penetration of renewables and evolving data subject to so-called concept drift, i.e …”
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