Recognition of subjects with early-stage Parkinson from free-living unilateral wrist-sensor data using a hierarchical machine learning model

Pfister Franz M. J.; von Schumann Anna; Bemetz Josef; Thomas Janek; Ceballos-Baumann Andres; Bischl Bernd; Fietzek Urban

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Recognition of subjects with early-stage Parkinson from free-living unilateral wrist-sensor data using a hierarchical machine learning model

机译：使用分层机器学习模型，从自由生活单侧手腕传感器数据中识别患有早期舞台帕金森的科目

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来源
《Journal of neural transmission》 |2019年第5期|共1页
作者
Pfister Franz M. J.; von Schumann Anna; Bemetz Josef; Thomas Janek; Ceballos-Baumann Andres; Bischl Bernd; Fietzek Urban;
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正文语种 eng
中图分类人体形态学;
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1. Recognition of subjects with early-stage Parkinson from free-living unilateral wrist-sensor data using a hierarchical machine learning model [J] . Pfister Franz M. J., von Schumann Anna, Bemetz Josef, Journal of neural transmission . 2019,第5期

机译：使用分层机器学习模型，从自由生活单侧手腕传感器数据中识别患有早期舞台帕金森的科目
2. Hierarchical Machine Learning Model for Mechanical Property Predictions of Polyurethane Elastomers From Small Datasets [J] . Menon Aditya, Thompson-Coln James A., Washburn Newell R. Frontiers in Materials . 2019,第1期

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3. Machine learning models for the differential diagnosis of vascular parkinsonism and Parkinson's disease using [(123)I]FP-CIT SPECT. [J] . I Huertas-Fernández, F J García-Gómez, D García-Solís, European Journal of Nuclear Medicine and Molecular Imaging . 2015,第1期

机译：使用[（123）I] FP-CIT SPECT机器学习模型对血管性帕金森病和帕金森氏病进行鉴别诊断。
4. A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments [C] . Jun Qi, Hai-Ning Liang, Jianjun Chen, International Conference on Big Data and Cloud Computing;IEEE International Symposium on Parallel and Distributed Processing with Applications;International Symposium on Social Computing and Networking;International Conference on Sustainable Computing and Communications . 2020

机译：一种用于访问自由生活环境的物理活动识别的混合分级模型
5. Semi-Supervised Machine Learning Techniques for Classification of Evolving Data in Pattern Recognition =TECHNIQUES SEMI-SUPERVISéES D'APPRENTISSAGE MACHINE POUR LA CLASSIFICATION DES DONNéES EN éVOLUTION EN RECONNAISSANCE DE FORMES [D] . Tencer, Lukas. 2017

机译：半监督机器学习技术，用于模式识别中不断发展的数据分类=在表单识别中对数据进行分类的半监督机器学习技术
6. Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data [O] . Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, -1

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7. Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data [O] . Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, 2019

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Recognition of subjects with early-stage Parkinson from free-living unilateral wrist-sensor data using a hierarchical machine learning model

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