An automatic ICD coding method for clinical records based on deep neural network
With the increase in the number of the international classification of diseases (ICD) codes,the difficulty and cost of manual coding based on clinical records have greatly increased,and automatic ICD coding technology has attracted widespread attention.A multi-scale residual graph convolution networ...
Saved in:
| Main Authors: | Yichao DU, Tong XU, Jianhui MA, Enhong CHEN, Yi ZHENG, Tongzhu LIU, Guixian TONG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2020-09-01
|
| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2020040 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The application of quality control circle in improving the accuracy of ICD coding on medical records
by: Wenjing Ou, et al.
Published: (2025-05-01) -
The Critical Role of Accurate ICD-10 Coding in Hospital Discharge Diagnoses and Impact on Healthcare Management
by: Mani Khorsand Askari, et al.
Published: (2025-06-01) -
ICD-10 code-based definition of heart failure in Saint Petersburg electronic health records: prevalence, health care utilization and outcomes
by: A. E. Soloveva, et al.
Published: (2021-10-01) -
Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes
by: Ying Yin, et al.
Published: (2025-04-01) -
Trends in delivery hospitalizations and the impact of ICD-9-CM to ICD-10-CM-PCS transition in Portugal between 2010 and 2018
by: Catarina de Paraíso Camarinha, et al.
Published: (2025-01-01)