Machine learning versus human expertise: The case of sleep stage classification in disorders of consciousness. Response to Wislowska et al.

Kotchoubey Boris; Pavlov Yuri G.

首页> 外文期刊>Clinical neurophysiology >Machine learning versus human expertise: The case of sleep stage classification in disorders of consciousness. Response to Wislowska et al.

【24h】

Machine learning versus human expertise: The case of sleep stage classification in disorders of consciousness. Response to Wislowska et al.

机译：机器学习与人类专业知识：睡眠阶段分类在意识障碍的情况。回应Wislowska等。

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

著录项
相似文献
相关主题

著录项

来源
《Clinical neurophysiology》 |2018年第12期|共2页
作者
Kotchoubey Boris; Pavlov Yuri G.;
展开▼
作者单位

Univ Tubingen Inst Med Psychol Tubingen Germany;

Univ Tubingen Inst Med Psychol Tubingen Germany;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类人体生理学;
关键词

相似文献

外文文献
中文文献
专利

1. Machine learning versus human expertise: The case of sleep stage classification in disorders of consciousness. Response to Wislowska et al. [J] . Kotchoubey Boris, Pavlov Yuri G. Clinical neurophysiology . 2018,第12期

机译：机器学习与人类专业知识：睡眠阶段分类在意识障碍的情况。回应Wislowska等。
2. A novel solution of enhanced loss function using deep learning in sleep stage classification: predict and diagnose patients with sleep disorders [J] . Rajbhandari Ereena, Alsadoon Abeer, Prasad P. W. C., Multimedia Tools and Applications . 2021,第8期

机译：利用深度学习在睡眠阶段分类中的增强损失功能的新解决方案：预测和诊断睡眠障碍患者
3. Best and Safest Care Versus Care Closer to Home Commentary on Fishman et al. The accuracy of an ambulatory level III sleep study compared to a level I sleep study for the diagnosis of sleep-disordered breathing in children with neuromuscular disease. J Clin Sleep Med. 2018;14(12):2013-2020 [J] . Hassan Fauziya, DAndrea Lynn A. Journal of clinical sleep medicine: JCSM : official publication of the American Academy of Sleep Medicine . 2018,第12期

机译：最佳和最安全的护理与Fishman等人更接近家庭评论。动态等级III睡眠研究的准确性与我睡眠研究的睡眠研究相比，用于诊断神经肌病患儿睡眠呼吸的睡眠性研究。 J Clin Sleep Med。 2018; 14（12）：2013-2020
4. Interactive Sleep Stage Labelling Tool For Diagnosing Sleep Disorder Using Deep Learning [C] . Woonghee Lee, Younghoon Kim Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2018

机译：使用深度学习诊断睡眠障碍的交互式睡眠阶段标签工具
5. Automatic classification of human sleep stages using artificial neural networks [D] . Barragan, Jaime 2005

机译：使用人工神经网络对人类睡眠阶段进行自动分类
6. Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation [O] . Said Boumaraf, Xiabi Liu, Yuchai Wan, 2021

机译：传统机器学习与放大依赖性组织病理学乳腺癌图像分类的深度学习：视觉解释的比较研究
7. Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data [O] . Nico Surantha, Tri Fennia Lesmana, Sani Muhamad Isa 2021

机译：利用极端学习机和粒子群优化对医疗保健大数据进行睡眠阶段分类

Machine learning versus human expertise: The case of sleep stage classification in disorders of consciousness. Response to Wislowska et al.

著录项

相似文献

相关主题

期刊订阅