Topic Editors

Dr. Dawei Yang
Zhongshan Hospital Fudan University, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai, China
School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China
Dr. Hongyi Xin
UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China

Research on Data Mining of Electronic Health Records Using Deep Learning Methods

Abstract submission deadline
30 June 2024
Manuscript submission deadline
31 August 2024
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Topic Information

Dear Colleagues,

With the explosive expansion of medical information, the era of Health 4.0 has arrived, encompassing a flood of medical data, such as electronic health records, medical images, continuous digital recordings of vital signs, etc. The integration of artificial intelligence into this field is thus unavoidable. However, frontline medical healthcare workers have a limited knowledge of coding, deep learning, and artificial intelligence, creating an unseen barrier to efficient application due to fear of replacement. Thus, for this Special Issue, we are inviting well-regarded physicians, informatics technology scientists, computer science engineers, and medical internet of things specialists to share their experience and studies in this field. Explaining the mys-tery of data mining could lead the way to improved healthcare quality.

Dr. Dawei Yang
Dr. Yu Zhu
Dr. Hongyi Xin
Topic Editors


  • data mining
  • electronic health records
  • deep learning
  • artificial intelligence
  • medical internet of things
  • metaverse in medicine
  • telemedicine
  • ehealth
  • screening

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
2.3 3.7 2008 15 Days CHF 1600 Submit
Future Internet
3.4 6.7 2009 11.8 Days CHF 1600 Submit
3.1 5.8 2010 18 Days CHF 1600 Submit
2.4 3.5 2013 16.9 Days CHF 2600 Submit
2.7 4.9 2009 16.2 Days CHF 2400 Submit is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

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