An Auxiliary Classification Diagnosis Software System of Liver Medical Data Based on Various Artificial Neural Networks

DOI

10.2991/ncce-18.2018.121How to use a DOI?

Keywords

liver complaint; machine learning; deep learning; medical support platform.

Abstract

This paper proposed to develop an auxiliary software system for recognizing the medical data of hepatic pathological changes based on the deep learning of medical data identification technology.Built under the idea of personal demands and self-service platform, the system is supported by artificial intelligence, data mining , network and other techniques. Focusing on the core needs of clinical diagnosis and medical data identification technology, we constructed several major modules for liver diagnosis and treatment information acquisition , knowledge dissemination and so on. The method effectively solved the problem of non-standardization and non-precision shortcomings in the process of recognizing the medical data of hepatic pathological changes. More importantly, it can better cope with current problems such as workload, low recognition accuracy lack of strong expertise and requirements of manpower and resources.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yong Qi
AU  - Wenyue Gou
AU  - Jie Li
AU  - Qiaosheng Zhu
AU  - Runze Pei
PY  - 2018/05
DA  - 2018/05
TI  - An Auxiliary Classification Diagnosis Software System of Liver Medical Data Based on Various Artificial Neural Networks
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 740
EP  - 743
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.121
DO  - 10.2991/ncce-18.2018.121
ID  - Qi2018/05
ER  -