Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse

Dmitriy Dligach, Majid Afshar, Timothy Miller

Research output: Contribution to conference › Poster › peer-review

Original language	American English
State	Published - Nov 2019
Event	American Medical Informatics Association Symposium - Washington, DC, United States Duration: Nov 1 2019 → …

Conference	American Medical Informatics Association Symposium
Country/Territory	United States
City	Washington, DC
Period	11/1/19 → …

Cite this

Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. / Dligach, Dmitriy; Afshar, Majid; Miller, Timothy.
2019. Poster session presented at American Medical Informatics Association Symposium, Washington, DC, United States.

Research output: Contribution to conference › Poster › peer-review

@conference{77b43a1419d043a0a160a4882816443d,

title = "Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse",

author = "Dmitriy Dligach and Majid Afshar and Timothy Miller",

year = "2019",

month = nov,

language = "American English",

note = "American Medical Informatics Association Symposium ; Conference date: 01-11-2019",

}