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Proceedings of the 2nd International...
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International Conference on Healthcare Science and Engineering (2018 :)
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Proceedings of the 2nd International Conference on Healthcare Science and Engineering
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Proceedings of the 2nd International Conference on Healthcare Science and Engineering/ edited by Chase Q. Wu ... [et al.].
其他作者:
Wu, Chase Q.
團體作者:
International Conference on Healthcare Science and Engineering
出版者:
Singapore :Springer Singapore : : 2019.,
面頁冊數:
ix, 306 p. :ill., digital ;24 cm.
內容註:
Viral Quasispecies Spectrum Reconstruction via Coloring the Vertex in the Weighted Read Conflict Graph -- Robust feature selection method of Radiomics for grading glioma -- Cardiovascular Disease Risk Prediction based on Random Forest -- ECG Beat Classification based on Deep Bi-directional Long Short-term Memory Recurrent Neural Network -- Deep Convolutional Neural Networks for Electrocardiogram Classification -- Transfer Learning based Behavior Task Decoding from Brain Activity -- Fine-tuning ResNet for Breast Cancer Classification from Mammography -- Lung Sounds Diagnosis with Deep Convolutional Neural Network and Two-Stage Pipeline Model -- An Improved Data Anonymization Algorithm for Incomplete Medical Dataset Publishing -- ECG Classification Based on Long Short-Term Memory Networks.
Contained By:
Springer eBooks
標題:
Medical informatics - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-13-6837-0
ISBN:
9789811368370
Proceedings of the 2nd International Conference on Healthcare Science and Engineering
Proceedings of the 2nd International Conference on Healthcare Science and Engineering
[electronic resource] /edited by Chase Q. Wu ... [et al.]. - Singapore :Springer Singapore :2019. - ix, 306 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v.5361876-1100 ;. - Lecture notes in electrical engineering ;v.536..
Viral Quasispecies Spectrum Reconstruction via Coloring the Vertex in the Weighted Read Conflict Graph -- Robust feature selection method of Radiomics for grading glioma -- Cardiovascular Disease Risk Prediction based on Random Forest -- ECG Beat Classification based on Deep Bi-directional Long Short-term Memory Recurrent Neural Network -- Deep Convolutional Neural Networks for Electrocardiogram Classification -- Transfer Learning based Behavior Task Decoding from Brain Activity -- Fine-tuning ResNet for Breast Cancer Classification from Mammography -- Lung Sounds Diagnosis with Deep Convolutional Neural Network and Two-Stage Pipeline Model -- An Improved Data Anonymization Algorithm for Incomplete Medical Dataset Publishing -- ECG Classification Based on Long Short-Term Memory Networks.
This book presents a compilation of selected papers from the 2nd International Conference on Healthcare Science and Engineering (Healthcare 2018) The work focuses on novel computing, networking, and data analytics techniques for various issues in healthcare. The book is a valuable resource for academic researchers and practitioners working in the field.
ISBN: 9789811368370
Standard No.: 10.1007/978-981-13-6837-0doiSubjects--Topical Terms:
590642
Medical informatics
--Congresses.
LC Class. No.: R858.A2
Dewey Class. No.: 610.285
Proceedings of the 2nd International Conference on Healthcare Science and Engineering
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Viral Quasispecies Spectrum Reconstruction via Coloring the Vertex in the Weighted Read Conflict Graph -- Robust feature selection method of Radiomics for grading glioma -- Cardiovascular Disease Risk Prediction based on Random Forest -- ECG Beat Classification based on Deep Bi-directional Long Short-term Memory Recurrent Neural Network -- Deep Convolutional Neural Networks for Electrocardiogram Classification -- Transfer Learning based Behavior Task Decoding from Brain Activity -- Fine-tuning ResNet for Breast Cancer Classification from Mammography -- Lung Sounds Diagnosis with Deep Convolutional Neural Network and Two-Stage Pipeline Model -- An Improved Data Anonymization Algorithm for Incomplete Medical Dataset Publishing -- ECG Classification Based on Long Short-Term Memory Networks.
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