《一种基于大数据环境下电子病历的住院患者认识方法》的勘误表。

IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES International Journal of Telemedicine and Applications Pub Date : 2019-01-20 eCollection Date: 2019-01-01 DOI:10.1155/2019/4598179
Hongyi Mao, Yang Sun
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引用次数: 1

摘要

[这更正了文章DOI: 10.1155/2017/9185686.]。
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Corrigendum to "A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment".

[This corrects the article DOI: 10.1155/2017/9185686.].

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来源期刊
CiteScore
6.90
自引率
2.30%
发文量
19
审稿时长
12 weeks
期刊介绍: The overall aim of the International Journal of Telemedicine and Applications is to bring together science and applications of medical practice and medical care at a distance as well as their supporting technologies such as, computing, communications, and networking technologies with emphasis on telemedicine techniques and telemedicine applications. It is directed at practicing engineers, academic researchers, as well as doctors, nurses, etc. Telemedicine is an information technology that enables doctors to perform medical consultations, diagnoses, and treatments, as well as medical education, away from patients. For example, doctors can remotely examine patients via remote viewing monitors and sound devices, and/or sampling physiological data using telecommunication. Telemedicine technology is applied to areas of emergency healthcare, videoconsulting, telecardiology, telepathology, teledermatology, teleophthalmology, teleoncology, telepsychiatry, teledentistry, etc. International Journal of Telemedicine and Applications will highlight the continued growth and new challenges in telemedicine, applications, and their supporting technologies, for both application development and basic research. Papers should emphasize original results or case studies relating to the theory and/or applications of telemedicine. Tutorial papers, especially those emphasizing multidisciplinary views of telemedicine, are also welcome. International Journal of Telemedicine and Applications employs a paperless, electronic submission and evaluation system to promote a rapid turnaround in the peer-review process.
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