Multitask learning and benchmarking with clinical time series data

22 March 2017

Papers citing "Multitask learning and benchmarking with clinical time series data"

50 / 309 papers shown

Title
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Mengxuan Li Ke Liu Jialong Guo Jiajun Bu Hongwei Wang Haishuai Wang AI4TS 22 0 0 16 May 2025
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records Jesus Lovon Thouria Ben-Haddi Jules Di Scala José G. Moreno L. Tamine 60 2 0 29 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 32 0 0 19 Apr 2025
DeepSelective: Feature Gating and Representation Matching for Interpretable Clinical Prediction Ruochi Zhang Qian Yang Xiaoyang Wang Haoran Wu Qiong Zhou ... Yusi Fan Jingyang Zhang Lan Huang Chang Liu Fengfeng Zhou OOD 37 1 0 15 Apr 2025
DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation Munib Mesinovic Soheila Molaei Peter Watkinson Tingting Zhu AI4TS 38 0 0 28 Mar 2025
Predicting Clinical Outcomes with Waveform LSTMs Michael Albada 47 0 0 13 Mar 2025
dnamite: A Python Package for Neural Additive Models Mike Van Ness Madeleine Udell 46 0 0 06 Mar 2025
Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer Guanglin Zhou Sebastiano Barbieri 41 0 0 28 Feb 2025
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health Mira Moukheiber L. Moukheiber Dana Moukheiber Hyung-Chul Lee 67 2 0 23 Feb 2025
Healthcare cost prediction for heterogeneous patient profiles using deep learning models with administrative claims data M. Morid O. R. Sheng 46 0 0 17 Feb 2025
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning Liuqing Chen Shuhong Xiao Shixian Ding Shanhai Hu Lingyun Sun 71 0 0 10 Feb 2025
Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability L. Zheng W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen 62 1 0 17 Jan 2025
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Sanjana Gundapaneni Zhuo Zhi Miguel R. D. Rodrigues 83 0 0 14 Dec 2024
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions Arash Hajisafi Maria Despoina Siampou Bita Azarijoo Cyrus Shahabi AI4TS 83 0 0 14 Dec 2024
Towards Foundation Models for Critical Care Time Series Manuel Burger Fedor Sergeev Malte Londschien Daphné Chopard Hugo Yèche ... Zeynep Babür Jasmina Bogojeska M. Faltys Rita Kuznetsova Gunnar Rätsch AI4TS LM&MA 78 0 0 25 Nov 2024
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Hojjat Karami David Atienza Anisoara Ionescu 73 1 0 20 Nov 2024
Fine-tuning -- a Transfer Learning approach Joseph Arul Raj Linglong Qian Zina M. Ibrahim 35 0 0 06 Nov 2024
Interpretable Predictive Models for Healthcare via Rational Logistic Regression Thiti Suttaket L Vivek Harsha Vardhan Stanley Kok OOD 30 0 0 05 Nov 2024
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis Fuying Wang Feng Wu Yihan Tang Lequan Yu AI4TS 30 0 0 01 Nov 2024
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets Nassim Oufattole Teya Bergamaschi Aleksia Kolo Hyewon Jeong Hanna Gaggin Collin M. Stultz Matthew B. A. McDermott 49 1 0 31 Oct 2024
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation Wenfang Yao Chen Liu Kejing Yin W. K. Cheung Jing Qin 31 1 0 23 Oct 2024
Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model X. Li Sibei Liu Dezhi Yu Yang Zhang Xiaoyu Liu OOD 45 14 0 23 Oct 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics L. Zheng Zhengyang Li Chang Dong W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 33 1 0 16 Oct 2024
An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data Ryan N. King Shivesh Kodali Conrad Krueger Tianbao Yang Bobak J. Mortazavi AI4TS 29 0 0 11 Oct 2024
Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED Arash Pakbin Aaron Su Donald K. K. Lee B. Mortazavi 20 0 0 29 Sep 2024
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series Hrishikesh Patel Ruihong Qiu Adam Irwin Shazia Sadiq Sen Wang AI4TS 35 1 0 25 Sep 2024
ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks Yinghao Zhu Junyi Gao Zixiang Wang Weibin Liao Xiaochen Zheng ... Yasha Wang Lequan Yu Chengwei Pan Ewen M. Harrison Liantao Ma AI4MH ELM LM&MA 66 2 0 26 Jul 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment Théo Gnassounou Antoine Collas Rémi Flamary Karim Lounici Alexandre Gramfort 43 2 0 19 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 87 0 0 16 Jul 2024
Open (Clinical) LLMs are Sensitive to Instruction Phrasings Alberto Mario Ceballos Arroyo Monica Munnangi Jiuding Sun Karen Y.C. Zhang Denis Jered McInerney Byron C. Wallace Silvio Amir LM&MA 26 8 0 12 Jul 2024
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records Weimin Lyu Zexin Bi Fusheng Wang Chao Chen 50 5 0 06 Jul 2024
Query-Guided Self-Supervised Summarization of Nursing Notes Ya Gao H. Moen S. Koivusalo M. Koskinen Pekka Marttinen 44 1 0 04 Jul 2024
ACES: Automatic Cohort Extraction System for Event-Stream Datasets Justin Xu Jack Gallifant Alistair E. W. Johnson Matthew B. A. McDermott AI4TS 43 1 0 28 Jun 2024
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics Qingpeng Cai Kaiping Zheng H. V. Jagadish Beng Chin Ooi J. Yip AI4TS 27 1 0 20 Jun 2024
Large Language Model as a Universal Clinical Multi-task Decoder Yujiang Wu Hongjian Song Jiawen Zhang Xumeng Wen Shun Zheng Jiang Bian 41 1 0 18 Jun 2024
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction Muhao Xu Zhenfeng Zhu Youru Li Shuai Zheng Yawei Zhao Kunlun He Yao Zhao 46 1 0 17 Jun 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks Mirza Farhan Bin Tarek Raphael Poulain Rahmatollah Beheshti SyDa 41 0 0 04 Jun 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting Stijn Verdenius Andrea Zerio Roy L.M. Wang BDL AI4TS AI4CE 34 2 0 16 May 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction Zhihao Yu Xu Chu Yujie Jin Yasha Wang Junfeng Zhao 32 2 0 15 May 2024
PhilHumans: Benchmarking Machine Learning for Personal Health Vadim Liventsev Vivek Kumar Allmin Pradhap Singh Susaiyah Zixiu "Alex" Wu Ivan Rodin ... Milan Petkovic Diego Reforgiato Recupero Ehud Reiter Daniele Riboni Raymond Sterling AI4MH LM&MA 34 0 0 04 May 2024
Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks Mariia Ignashina Julia Ive 25 0 0 30 Apr 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Keli Zhang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 37 39 0 29 Apr 2024
Interpretable Prediction and Feature Selection for Survival Analysis Mike Van Ness Madeleine Udell 39 2 0 23 Apr 2024
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning Chong Yu Shuaiqi Shen Shiqiang Wang Kuan Zhang Hai Zhao FedML 41 3 0 15 Apr 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 49 1 0 12 Apr 2024
TablePuppet: A Generic Framework for Relational Federated Learning Lijie Xu Chulin Xie Yiran Guo Gustavo Alonso Bo-wen Li Guoliang Li Wei Wang Wentao Wu Ce Zhang FedML 39 0 0 23 Mar 2024
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency Wenfang Yao Kejing Yin William K. Cheung Jia Liu Jing Qin MedIm 29 16 0 10 Mar 2024
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records Suhan Cui Prasenjit Mitra 24 2 0 06 Mar 2024
Multi-modal Deep Learning Chen Yuhua MedIm 33 35 0 06 Mar 2024
Intensive Care as One Big Sequence Modeling Problem Vadim Liventsev Tobias Fritz 40 1 0 27 Feb 2024