2023 Fiscal Year Annual Research Report
Healthcare Risk Prediction on Data Streams Employing Cross Ensemble Deep Learning
| Project/Area Number |
20K11955
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| Research Institution | Iwate Prefectural University |
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Principal Investigator |
藤田 ハミド 岩手県立大学, 公私立大学の部局等, 特命教授 (30244990)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | machine learnig / Health care prediction |
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| Outline of Annual Research Achievements |
In this project, have used ensemble deep learning techniques by constructing Deep Neural Networks (DNNs) based on assembled CNN in architecture
of two GPUs in cross layered connection. In addition, we have one GPU system, running as backup for training experiments using large scale data
for comparison purpose. I could achieve good research results using zero shot learning on multi-variate data. Also, I have trained the deep-learning architecture on dynamic data, and image data. The result was promising and therefore we publish international journal articles.
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