Topic Editors
Research on Data Mining of Electronic Health Records Using Deep Learning Methods
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
Keywords
- 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 | |
|---|---|---|---|---|---|---|
Algorithms
|
1.8 | 4.1 | 2008 | 18.9 Days | CHF 1600 | Submit |
Future Internet
|
2.8 | 7.1 | 2009 | 16.9 Days | CHF 1600 | Submit |
Information
|
2.4 | 6.9 | 2010 | 16.4 Days | CHF 1600 | Submit |
Mathematics
|
2.3 | 4.0 | 2013 | 18.3 Days | CHF 2600 | Submit |
Symmetry
|
2.2 | 5.4 | 2009 | 17.3 Days | CHF 2400 | Submit |
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