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Retracted: Construction of urban agricultural health informatics safety supervision system based on imaging and deep learning
Author(s) -
Liu Zhanyu
Publication year - 2020
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5834
Subject(s) - health informatics , informatics , computer science , big data , deep learning , data science , artificial intelligence , data mining , medicine , engineering , public health , nursing , electrical engineering
Summary Construction of urban agricultural health informatics safety supervision (UAHISS) system based on medical imaging and deep learning (DL) is provided in this research. The designed UAHISS is based on computerized medical image information processing, and reduces the daily reporting and writing work as well as providing timely image information to the clinicians. In the designed UAHISS, following novelties are presented. (1) We develop the novel medical imaging processing model for the efficient recognition and classification of the big medical visual data. (2) We design the novel DL system for the health informatics application scenarios. (3) The comprehensive health informatics safety supervision system is development and validated through complex parallel data. (4) The urban agricultural information system with the human health safety prior is designed and the further suggestions are provided. Through the verification, the real‐time performance of the proposed model is tested. It is reflected from the results, the proposed model can detect the health informatics safety supervision information accurately.