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Based on the DeepFM model, we predicts the incidence of hepatitis in each sample in the structured disease prediction data of the 2020 Artificial Intelligence Challenge Preliminary Competition, and make ... minor improvements and parameter adjustments to DeepFM. ... We will use DeepFM to predict the incidence of hepatitis on structured disease data, and make micro-improvements and parameter adjustments to make it more in line with the actual learning situation, and ...doi:10.1109/access.2021.3062687 fatcat:dzoupxxxjvgmjojhu6gxj7e6a4
Research trend data from 2015 to 2020 is presented for various subdivisions of these topics, showing both absolute and relative research interest in each subtopic. ... The use of AI in Smart applications and in the organization of the network edge presents a rapidly advancing research field, with a great variety of challenges and opportunities. ... The research in this paper has been funded by Vlaio by means of the FLEXNET research project. ...doi:10.1109/ojcoms.2021.3116437 fatcat:knvl27fcwrarjhhua7zo475lwy
A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research. ... Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. ... model based on the high-level framework of DeepFM average ACC: 63.7% Method can derive embed- dings from multivariate time series and multivariate spa- tial time series data by using ...doi:10.1007/s10796-021-10131-x pmid:33935585 pmcid:PMC8072097 fatcat:64d2qb2mdfabrlhhnke4ve2rsq