Rapid Extraction of Target Information in Messy Multimedia Medical Data
- 1 Library, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- 2 Library, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- 3 Library, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- 4 Sichuan Hangbiao Electric Power Construction Co., Ltd., Meishan, China
- 5 Library, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- 6 Library, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- 7 Library, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Abstract
The information work in the hospital is very complicated. The amount of data is huge, and the forms are various. It is very troublesome to organize and find the data you need. In order to solve the problem, which often appears in the process of analyzing medical case and data, we use Labview2017 to design the corresponding multimedia data calling system for the purpose of rapid searching and effective extraction. This program, which greatly improves work efficiency, can realize fast searching multimedia data in the folder. Since we use of this type of system, the work efficiency has been greatly improved, and the burden on the staff has been greatly reduced.
- Dan, M.I. (2018) Application of Office Automation in the Management of Documents and Archives. China Health Standard Management, 13, 6-8.
- Wang, J., Chen, J.-L., Li, Z.-J. and Su, Y. (2018) Discussion on Management of Hospital Commercial Contract Based on Office Automation. Hospital Management Forum, 8, 73-74.
- Fu, T. and Quan, Y. (2018) Paperless Hospital Management. Modern Hospital Management, 4, 82-84.
- Tan, C. (2018) The Construction Research on OA Office System by Changsha Construction Investment & Development. Hunan University, Changsha.
- Sun, Y.F. (2018) Design and Implementation of Office Automation System Based on SOA. Tianjin University, Tianjin.
- Srivastava, H.S., Sivasankar, T. and Patel, P. (2018) An Insight into the Volume Component Generated from Risat-1 Hybrid Polarimetric Sar Data for Crop Biophysical Parameters Retrieval. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-5, 5, 209-214.
- Ye, N., Walker, J.P., Rüdiger, C., Ryu, D. and Gurney, R.J. (2018) Remote Sensing; Investigators from Monash University Have Reported New Data on Remote Sensing (Surface Rock Effects on Soil Moisture Retrieval from L-Band Passive Microwave Observations). Journal of Technology & Science, 10, 33-43.