A study of the effectiveness of transfer learning in individualized asthma risk prediction

Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Sungroul Kim, Choon Sik Park, Mark Chesney. A study of the effectiveness of transfer learning in individualized asthma risk prediction. In Chih-Cheng Hung, Jiman Hong, Alessio Bechini, Eunjee Song, editors, SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021. pages 1082-1085, ACM, 2021. [doi]

@inproceedings{BaeAHKPC21,
  title = {A study of the effectiveness of transfer learning in individualized asthma risk prediction},
  author = {Wan D. Bae and Shayma Alkobaisi and Matthew Horak and Sungroul Kim and Choon Sik Park and Mark Chesney},
  year = {2021},
  doi = {10.1145/3412841.3442105},
  url = {https://doi.org/10.1145/3412841.3442105},
  researchr = {https://researchr.org/publication/BaeAHKPC21},
  cites = {0},
  citedby = {0},
  pages = {1082-1085},
  booktitle = {SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021},
  editor = {Chih-Cheng Hung and Jiman Hong and Alessio Bechini and Eunjee Song},
  publisher = {ACM},
  isbn = {978-1-4503-8104-8},
}