Textual Data Augmentation for Patient Outcomes Prediction

13 November 2022

Papers citing "Textual Data Augmentation for Patient Outcomes Prediction"

9 / 9 papers shown

Title
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling Samuel Belkadi Libo Ren Nicolo Micheletti Lifeng Han Goran Nenadic SyDa MedIm 64 0 0 15 Sep 2024
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution Qiuhao Lu Thien Huu Nguyen Dejing Dou 52 21 0 19 Dec 2021
On Data Augmentation for Extreme Multi-label Classification Danqing Zhang Tao Li Hai-Feng Zhang Bing Yin 54 25 0 22 Sep 2020
Generative Data Augmentation for Commonsense Reasoning Yiben Yang Chaitanya Malaviya Jared Fernandez Swabha Swayamdipta Ronan Le Bras Ji-ping Wang Chandra Bhagavatula Yejin Choi Doug Downey LRM 70 90 0 24 Apr 2020
Not Enough Data? Deep Learning to the Rescue! Ateret Anaby-Tavor Boaz Carmeli Esther Goldbraich Amir Kantor George Kour Segev Shlomov N. Tepper Naama Zwerdling 84 370 0 08 Nov 2019
Learning Conceptual-Contextual Embeddings for Medical Text Xiao Zhang Dejing Dou Ji Wu BDL 40 17 0 16 Aug 2019
Publicly Available Clinical BERT Embeddings Emily Alsentzer John R. Murphy Willie Boag W. Weng Di Jin Tristan Naumann Matthew B. A. McDermott AI4MH 156 1,979 0 06 Apr 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 156 5,659 0 25 Jan 2019
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 186 878 0 22 Mar 2017