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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department


Aug 04, 2020
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzębski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras


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Early-Learning Regularization Prevents Memorization of Noisy Labels


Jun 30, 2020
Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda


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BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining


May 26, 2020
Zachariah Zhang, Jingshu Liu, Narges Razavian


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Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease


Dec 08, 2019
Weicheng Zhu, Narges Razavian


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Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study


Dec 02, 2019
Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian


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Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction


Nov 18, 2019
Josie Williams, Narges Razavian

* Accepted at Fairness in Machine Learning in Health workshop at NeurIPS 2019 

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DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation


Nov 14, 2019
Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang, Sohae Chung, Xiuyuan Wang, Matthew Young, Alireza Radmanesh, Yvonne W. Lui, Narges Razavian


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On the design of convolutional neural networks for automatic detection of Alzheimer's disease


Nov 12, 2019
Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian

* Proceedings of Machine Learning Research, 2019 
* Machine Learning for Health Workshop, NeurIPS2019. Authors Fernandez-Granda and Razavian are joint last authors 

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Deep EHR: Chronic Disease Prediction Using Medical Notes


Aug 15, 2018
Jingshu Liu, Zachariah Zhang, Narges Razavian

* Machine Learning for Health Care conference 

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Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests


Sep 20, 2016
Narges Razavian, Jake Marcus, David Sontag

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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Temporal Convolutional Neural Networks for Diagnosis from Lab Tests


Mar 11, 2016
Narges Razavian, David Sontag


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