Clinical Outcome Prediction from Admission Notes using Self-Supervised
Knowledge Integration

Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration

8 February 2021

Jens-Michalis Papaioannou

Felix Alexander Gers

Alexander Loser

Papers citing "Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration"

13 / 13 papers shown

Title
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain Aryo Pradipta Gema Pasquale Minervini Luke Daines Tom Hope Beatrice Alex LM&MA ALM 36 40 0 06 Jul 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre L. Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 32 12 0 21 Apr 2023
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt Zhichao Yang Sunjae Kwon Zonghai Yao Hongfeng Yu 26 17 0 24 Nov 2022
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints Omid Rohanian Hannah Jauncey Mohammadmahdi Nouriborji Vinod Kumar Chauhan Bronner P. Gonccalves Christiana Kartsonaki Isaric Clinical Characterisation Group L. Merson David A. Clifton 16 7 0 17 Oct 2022
Cross-Lingual Knowledge Transfer for Clinical Phenotyping Jens-Michalis Papaioannou Paul Grundmann Betty van Aken A. Samaras Ilias Kyparissidis G. Giannakoulas Felix Alexander Gers Alexander Loser 39 6 0 03 Aug 2022
Clinical Prompt Learning with Frozen Language Models Niall Taylor Yi Zhang Dan W Joyce A. Nevado-Holgado Andrey Kormilitzin VLM LM&MA 16 31 0 11 May 2022
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models Betty van Aken S. Herrmann Alexander Loser 23 11 0 30 Nov 2021
Literature-Augmented Clinical Outcome Prediction Aakanksha Naik Sravanthi Parasa Sergey Feldman Lucy Lu Wang Tom Hope LM&MA 20 25 0 16 Nov 2021
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning Shaoxiong Ji Pekka Marttinen 19 5 0 07 Sep 2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 36 10 0 12 Jul 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 285 2,017 0 28 Jul 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 569 0 19 Mar 2017