Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

10 October 2018

Papers citing "Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record"

50 / 59 papers shown

Title
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction Zhe Sun Runzhi Li Jing Wang Gang Chen Siyu Yan Lihong Ma 18 0 0 15 Jul 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction Zhihao Yu Xu Chu Yujie Jin Yasha Wang Junfeng Zhao 30 1 0 15 May 2024
From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality? Guangming Huang Yingya Li Shoaib Jameel Yunfei Long G. Papanastasiou 31 16 0 18 Mar 2024
Efficient Observation Time Window Segmentation for Administrative Data Machine Learning Musa Taib G. Messier OOD AI4TS 29 0 0 29 Jan 2024
Clinical Risk Prediction Using Language Models: Benefits And Considerations Angeela Acharya Sulabh Shrestha Anyi Chen Joseph Conte Sanja Avramovic S. Sikdar Antonios Anastasopoulos Sanmay Das 24 6 0 29 Nov 2023
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications Adrian Wilkins-Caruana M. Bandara Katarzyna Musial D. Catchpoole Paul J. Kennedy 14 10 0 27 Aug 2023
Personalized Event Prediction for Electronic Health Records Jeong Min Lee Milos Hauskrecht 14 0 0 21 Aug 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 18 56 0 10 Apr 2023
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation? Kenichiro Ando Mamoru Komachi T. Okumura Hiromasa Horiguchi Yuji Matsumoto 15 2 0 10 Mar 2023
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data Zepeng Huo Xiaoning Qian Shuai Huang Zhangyang Wang Bobak J. Mortazavi OOD 12 3 0 23 Jul 2022
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations Asem Alaa Erik Mayer Mauricio Barahona AI4CE 22 3 0 05 Jul 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN C. Lu Chandan K. Reddy Ping Wang Dong Nie Yue Ning SyDa 32 25 0 10 Apr 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them Kendra Albert Maggie K. Delano FaML 11 11 0 15 Mar 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 16 73 0 23 Dec 2021
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks A. Javer O. Parsons Oliver Carr J. Baxter C. Diedrich E. Elcci Steffen Schaper K. Coboeken Robert Durichen 8 1 0 14 Dec 2021
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes Oliver Carr A. Javer P. Rockenschaub O. Parsons Robert Durichen 11 5 0 11 Nov 2021
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks Chao Pang Xinzhuo Jiang Krishna S. Kalluri M. Spotnitz Ruijun Chen A. Perotte Karthik Natarajan OOD 11 58 0 10 Nov 2021
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction Sayantan Kumar Sean C. Yu Thomas Kannampallil Zachary B. Abrams Andrew Michelson Philip R. O. Payne FAtt 9 7 0 09 Oct 2021
Network representation learning systematic review: ancestors and current development state Amina Amara Mohamed Ali Hadj Taieb M. Benaouicha AI4TS GNN 15 23 0 14 Sep 2021
Time Series Prediction using Deep Learning Methods in Healthcare M. Morid O. R. Sheng Josef A. Dunbar OOD AI4TS 16 106 0 30 Aug 2021
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies F. Xie Han Yuan Yilin Ning M. Ong Mengling Feng W. Hsu B. Chakraborty Nan Liu 19 83 0 21 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Z Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 19 154 0 07 Jul 2021
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder Chuhong Lahlou Ancil Crayton C. Trier E. Willett MedIm 10 5 0 19 May 2021
A Study into patient similarity through representation learning from medical records Hoda Memarzadeh Nasser Ghadiri Matthias Samwald Maryam Lotfi Shahreza 35 6 0 29 Apr 2021
Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning Jeong Min Lee Milos Hauskrecht 14 3 0 05 Apr 2021
Challenges for Reinforcement Learning in Healthcare Elsa Riachi M. Mamdani M. Fralick Frank Rudzicz OffRL 6 18 0 09 Mar 2021
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data Yuqi Si E. Bernstam Kirk Roberts 16 8 0 24 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients Oliver Carr Stojan Jovanovic L. Albergante Fernando Andreotti Robert Durichen Nadia Lipunova J. Baxter Rabia T. Khan B. Irving 9 4 0 24 Dec 2020
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations João Bento Pedro Saleiro André F. Cruz Mário A. T. Figueiredo P. Bizarro FAtt AI4TS 14 88 0 30 Nov 2020
Estimating Risk-Adjusted Hospital Performance E. van Weenen Stefan Feuerriegel CML 6 3 0 10 Nov 2020
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients Jinghe Zhang Kamran Kowsari M. Boukhechba James H. Harrison J. Lobo Laura E. Barnes 11 4 0 09 Nov 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 17 34 0 16 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review Yuqi Si Jingcheng Du Zhao Li Xiaoqian Jiang T. Miller Fei Wang W. J. Zheng Kirk Roberts OOD 13 154 0 06 Oct 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks Zifeng Wang Rui Wen Xi Chen Shilei Cao Shao-Lun Huang B. Qian Yefeng Zheng 14 30 0 06 Sep 2020
Phenotypical Ontology Driven Framework for Multi-Task Learning Mohamed F. Ghalwash Zijun Yao Prithwish Chakraborty James Codella Daby M. Sow 12 3 0 04 Sep 2020
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events D. Ledbetter Eugene Laksana M. Aczon R. Wetzel OOD 6 3 0 28 Jul 2020
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach Kamran Kowsari R. Sali L. Ehsan W. Adorno Asad Ali S. Moore B. Amadi P. Kelly Sana Syed Donald Brown 11 56 0 12 Jun 2020
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches Kamran Kowsari 14 2 0 11 Jun 2020
Patient Similarity Analysis with Longitudinal Health Data Ahmed Allam Matthias Dittberner A. Sintsova D. Brodbeck Michael Krauthammer 16 14 0 14 May 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 17 17 0 27 Apr 2020
Gender Detection on Social Networks using Ensemble Deep Learning Kamran Kowsari Mojtaba Heidarysafa Tolu Odukoya Philip Potter Laura E. Barnes Donald E. Brown GNN 11 14 0 13 Apr 2020
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time R. T. Sousa Lucas A. Pereira A. S. Soares AI4TS 25 3 0 20 Mar 2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data E. Steinberg Kenneth Jung Jason Alan Fries Conor K. Corbin Stephen R. Pfohl N. Shah 13 103 0 06 Jan 2020
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements Mehak Gupta T. Phan Timothy Bunnell Rahmatollah Beheshti 14 67 0 05 Dec 2019
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 19 296 0 03 Dec 2019
SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability S. Mallya J. Overhage S. Bodapati Navneet Srivastava Sahika Genc OOD 13 1 0 13 Nov 2019
ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data A. Kabeshova Yiyang Yu Bertrand Lukacs Emmanuel Bacry Stéphane Gaïffas VLM MedIm 17 2 0 13 Nov 2019
TAPER: Time-Aware Patient EHR Representation Sajad Darabi Mohammad Kachuee Shayan Fazeli Majid Sarrafzadeh 11 56 0 11 Aug 2019
Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment Qiu-Yue Zhong A. Fairless J. McCammon F. Rahmanian MedIm 11 2 0 15 Jul 2019