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Healthcare big data and the precise medication for rare diseases
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Science & Technology Review | 2017, 35(16) : 20 - 25
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Science & Technology Review | 2017, 35(16): 20-25
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Healthcare big data and the precise medication for rare diseases
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WU Zhihui1, WANG Fei1, JIANG Zhaoyun1, MIN Haowei1, WANG Xinwei1, GONG Mengchun2, SHI Wenzhao1
Affiliations
    1. Digital China Health Technologies Corporation, Beijing 100080, China;
    2. Central Laboratories, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
Published: 2017-08-28 doi: 10.3981/j.issn.1000-7857.2017.16.002
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The rapid development of the ubiquitous computing and wearable devices witnesses a new challenge in the natural hand gesture recognition:to free the users from the constraints of the environment and the devices and help the users interact with the environment in a natural and effective way. And the mid-air gesture recognition is one of the effective methods, capable of dealing with the challenge. This paper describes the definition of the mid-air gesture at first, and then analyzes and summarizes the existing hand gesture recognition methods, based on the computer vision, the ultrasonic signal and the electromagnetic wave. At last, this paper discusses the applications of the mid-air gesture recognition, some open questions and the development in the future.
big data  /  rare disease  /  precision medication
武志慧, 王飞, 姜召芸, 闵浩巍, 王心慰, 弓孟春, 史文钊. 健康医疗大数据与罕见病的精准用药. 科技导报, 2017 , 35 (16) : 20 -25 . DOI: 10.3981/j.issn.1000-7857.2017.16.002
WU Zhihui, WANG Fei, JIANG Zhaoyun, MIN Haowei, WANG Xinwei, GONG Mengchun, SHI Wenzhao. Healthcare big data and the precise medication for rare diseases[J]. Science & Technology Review, 2017 , 35 (16) : 20 -25 . DOI: 10.3981/j.issn.1000-7857.2017.16.002
Year 2017 volume 35 Issue 16
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doi: 10.3981/j.issn.1000-7857.2017.16.002
  • Receive Date:2017-06-20
  • Online Date:2017-08-26
  • Published:2017-08-28
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  • Received:2017-06-20
  • Revised:2017-08-02
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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