Identifying Mentions of Pain in Mental Health Records Text: A Natural
Language Processing Approach

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Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach

3 April 2023

Jaya Chaturvedi

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Papers citing "Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach"

7 / 7 papers shown

Title
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus George Michalopoulos Yuanxin Wang H. Kaka Helen H. Chen Alexander Wong 81 126 0 20 Oct 2020
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit Z. Kraljevic Thomas Searle Anthony Shek Lukasz Roguski Kawsar Noor ... A. Shah W. K. Wong Zina M. Ibrahim J. Teo Richard J. B. Dobson AI4MH 112 166 0 02 Oct 2020
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing Yu Gu Robert Tinn Hao Cheng Michael R. Lucas Naoto Usuyama Xiaodong Liu Tristan Naumann Jianfeng Gao Hoifung Poon LM&MA AI4CE 123 1,785 0 31 Jul 2020
Deep Learning Based Text Classification: A Comprehensive Review Shervin Minaee Nal Kalchbrenner Min Zhang Narjes Nikzad M. Asgari-Chenaghlu Jianfeng Gao AILaw VLM AI4TS 110 1,105 0 06 Apr 2020
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Kexin Huang Jaan Altosaar Rajesh Ranganath OOD 129 909 0 10 Apr 2019
Publicly Available Clinical BERT Embeddings Emily Alsentzer John R. Murphy Willie Boag W. Weng Di Jin Tristan Naumann Matthew B. A. McDermott AI4MH 198 1,988 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 182 5,684 0 25 Jan 2019

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