PheME: A deep ensemble framework for improving phenotype prediction from
multi-modal data

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PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data

19 March 2023

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Papers citing "PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data"

18 / 18 papers shown

Title
Local Contrastive Learning for Medical Image Recognition S. A. Rizvi Ruixiang Tang X. Jiang X. Ma X. Hu 73 6 0 24 Mar 2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang Jiayi Yuan Sirui Ding Qiaoyu Tan Kai Zhang Xiaoqian Jiang Helen Zhou Na Zou FaML 64 9 0 24 Mar 2023
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? Ruixiang Tang Xiaotian Han Xiaoqian Jiang Helen Zhou LM&MA AI4MH SyDa 70 185 0 08 Mar 2023
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 162 1,081 0 01 Nov 2021
Topic Modelling Meets Deep Neural Networks: A Survey He Zhao Dinh Q. Phung Viet Huynh Yuan Jin Lan Du Wray Buntine BDL 38 142 0 28 Feb 2021
Mitigating Gender Bias in Captioning Systems Ruixiang Tang Mengnan Du Yuening Li Zirui Liu Na Zou Helen Zhou FaML 46 66 0 15 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records Ardavan Afshar Ioakeim Perros Haesun Park C. Defilippi Xiaowei Yan Walter F. Stewart Joyce C. Ho Jimeng Sun 43 33 0 13 Nov 2019
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets Yifan Peng Shankai Yan Zhiyong Lu LM&MA AI4MH 71 845 0 13 Jun 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Training Complex Models with Multi-Task Weak Supervision Alexander Ratner Braden Hancock Jared A. Dunnmon Frederic Sala Shreyash Pandey Christopher Ré 53 213 0 05 Oct 2018
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 81 1,030 0 28 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 783 132,363 0 12 Jun 2017
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis B. Shickel P. Tighe A. Bihorac Parisa Rashidi BDL 102 1,119 0 12 Jun 2017
The Use of Autoencoders for Discovering Patient Phenotypes Harini Suresh Peter Szolovits Marzyeh Ghassemi DRL 65 28 0 20 Mar 2017
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 197 718 0 25 May 2016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification Ye Zhang Byron C. Wallace AAML 112 1,201 0 13 Oct 2015
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 684 31,544 0 16 Jan 2013

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