The Pilot Research of Differencing Time Series as an Important Feature Extraction for Numerical Prediction of Systolic Blood Pressure Using Machine Learning

Huang, Chih-Hsun; Tung, Nai-Yun; Hu, Hsiang-Wei; Chen, Kuan-Yu; Liu, Chih-Hao; Chi, Hsin-Yin; Chang, Ting-Wei; Yang, Jiun-Yi; Lin, Hsuan-Ming; Chen, Che-Wen; Wang, Jhing-Fa

doi:10.1109/ICOT54518.2021.9680633

IEEE ICOT 2021

The Pilot Research of Differencing Time Series as an Important Feature Extraction for Numerical Prediction of Systolic Blood Pressure Using Machine Learning

Chih-Hsun Huang, Nai-Yun Tung, Hsiang-Wei Hu, Kuan-Yu Chen, Chih-Hao Liu, Hsin-Yin Chi, Ting-Wei Chang, Jiun-Yi Yang, Hsuan-Ming Lin, Che-Wen Chen, Jhing-Fa Wang

TL;DRUses differenced time series as the feature that predicts systolic blood pressure.

DOI

BibTeX

@inproceedings{huang2021pilot,
  title     = {The Pilot Research of Differencing Time Series as an Important Feature Extraction for Numerical Prediction of Systolic Blood Pressure Using Machine Learning},
  author    = {Huang, Chih-Hsun and Tung, Nai-Yun and Hu, Hsiang-Wei and Chen, Kuan-Yu and Liu, Chih-Hao and Chi, Hsin-Yin and Chang, Ting-Wei and Yang, Jiun-Yi and Lin, Hsuan-Ming and Chen, Che-Wen and Wang, Jhing-Fa},
  booktitle = {2021 9th International Conference on Orange Technology ({ICOT})},
  pages     = {1--4},
  year      = {2021},
  doi       = {10.1109/ICOT54518.2021.9680633}
}