Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- )

Keyphrases

Publications

volume 14844, 2024

Xiangru Chen, Milos Hauskrecht
Enhancing Hypotension Prediction in Real-time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 14844 (2024)
Xiangru Chen, Milos Hauskrecht
Enhancing Hypotension Prediction in Real-time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 14844 (2024)
Xiangru Chen, Milos Hauskrecht
Enhancing Hypotension Prediction in Real-time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 14844 (2024)
Ben Kurzion, Chia-Hao Shih, Hong Xie, Xin Wang, Kevin S Xu
Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 14844 (2024)

volume 13897, 2023

Junheng Wang, Milos Hauskrecht
Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 13897 (2023)

volume 12721, 2021

Xin Tan, Yanwan Dai, Ahmed Imtiaz Humayun, Haoze Chen, Genevera I Allen, Parag N Jain
Detection of Junctional Ectopic Tachycardia by Central Venous Pressure. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 12721 (2021)
Matthew Barren, Milos Hauskrecht
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 12721 (2021)
Mikayla Biggs, Carla Floricel, Lisanne Van Dijk, Abdallah S R Mohamed, C David Fuller, G Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate
Identifying Symptom Clusters Through Association Rule Mining. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 12721 (2021)
Athresh Karanam, Alexander L Hayes, Harsha Kokel, David M Haas, Predrag Radivojac, Sriraam Natarajan
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 12721 (2021)
Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S Xu
Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 12721 (2021)
Jeong Min Lee, Milos Hauskrecht
Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 12721 (2021)

volume 12299, 2020

Tianran Zhang, Muhao Chen, Alex A T Bui
Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 12299 (2020)

volume 11526, 2019

Matteo Mantovani, Carlo Combi, Milos Hauskrecht
Mining compact predictive pattern sets using classification model. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 11526 (2019)
Jeong Min Lee, Milos Hauskrecht
Recent Context-aware LSTM for Clinical Event Time-series Prediction. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 11526 (2019)
Seyedsalim Malakouti, Milos Hauskrecht
Predicting patient's diagnoses and diagnostic categories from clinical-events in EHR data. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 11526 (2019)

volume 10259, 2017

Siqi Liu, Adam Wright, Milos Hauskrecht
Change-Point Detection Method for Clinical Decision Support System Rule Monitoring. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 10259 (2017)
Devendra Singh Dhami, Ameet Soni, David Page, Sriraam Natarajan
Identifying Parkinson's Patients: A Functional Gradient Boosting Approach. Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 10259 (2017)