Natural Language Processing with Deep Learning for Medical Adverse Event
Detection from Free-Text Medical Narratives: A Case Study of Detecting Total
Hip Replacement Dislocation

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Natural Language Processing with Deep Learning for Medical Adverse Event Detection from Free-Text Medical Narratives: A Case Study of Detecting Total Hip Replacement Dislocation

17 April 2020

Alireza Borjali

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Papers citing "Natural Language Processing with Deep Learning for Medical Adverse Event Detection from Free-Text Medical Narratives: A Case Study of Detecting Total Hip Replacement Dislocation"

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Title
Automating Adjudication of Cardiovascular Events Using Large Language Models Sonish Sivarajkumar Kimia Ameri Chuqin Li Yanshan Wang Min Jiang 65 0 0 21 Mar 2025
Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Risks Yao-Shun Chuang Atiquer Rahman Sarkar Noman Mohammed Xiaoqian Jiang 104 2 0 23 Jul 2024
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression Yao-Shun Chuang Chun-Teh Lee Ryan Brandon Trung Duong Tran O. Tokede Muhammad Walji Xiaoqian Jiang 38 3 0 17 Nov 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score Haowei Lin Yuntian Gu OODD 77 7 0 08 Oct 2023
The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning Alireza Borjali S. Ashkani-Esfahani R. Bhimani D. Guss O. Muratoglu C. DiGiovanni K. Varadarajan B. Lubberts 32 8 0 07 Jul 2022
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 274 101 0 14 Sep 2021