Computing a Weighted Jaccard Index of Electronic Medical Record for Disease Prediction

Chia-Hui Huang, Yun-Te Liao, David Taniar, Tun-Wen Pai. Computing a Weighted Jaccard Index of Electronic Medical Record for Disease Prediction. In Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki, editors, Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings. Volume 12144 of Lecture Notes in Computer Science, pages 445-456, Springer, 2020. [doi]

@inproceedings{HuangLTP20,
  title = {Computing a Weighted Jaccard Index of Electronic Medical Record for Disease Prediction},
  author = {Chia-Hui Huang and Yun-Te Liao and David Taniar and Tun-Wen Pai},
  year = {2020},
  doi = {10.1007/978-3-030-55789-8_39},
  url = {https://doi.org/10.1007/978-3-030-55789-8_39},
  researchr = {https://researchr.org/publication/HuangLTP20},
  cites = {0},
  citedby = {0},
  pages = {445-456},
  booktitle = {Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings},
  editor = {Hamido Fujita and Philippe Fournier-Viger and Moonis Ali and Jun Sasaki},
  volume = {12144},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-55789-8},
}