Publications citing MIMIC-III Waveform Database v1.0

Heart failure prognosis prediction: Let’s start with the MDL-HFP model
Huiting Ma, Dengao Li, Jian Fu et al. Information Systems, 2024. Cites: paper

Impact of stress hyperglycemia ratio on mortality in patients with cardiac arrest: insight from American MIMIC-IV database
Li‐You Lian, Wei-Hao Xue, Jia-Jia Lu et al. Frontiers in Endocrinology, 2024. Cites: paper

LDSG-Net: an efficient lightweight convolutional neural network for acute hypotensive episode prediction during ICU hospitalization
Longfei Liu, Yujie Hang, Rongqin Chen et al. Physiological Measurement, 2024. Cites: paper

Me-LLaMA: Foundation Large Language Models for Medical Applications
Qianqian Xie, Qingyu Chen, Aokun Chen et al. Research Square, 2024. Cites: paper

A Data Reconstruction Attack Against Vertical Federated Learning Based on Knowledge Transfer
Takumi Suimon, Yuki Koizumi, Junji Takemasa et al. IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2024. Cites: paper

An interpretable machine learning model for predicting 28-day mortality in patients with sepsis-associated liver injury
Chengli Wen, Xu Zhang, Yong Hui Li et al. PLoS ONE, 2024. Cites: paper

Multi-step Transfer Learning in Natural Language Processing for the Health Domain
Thokozile Manaka, Terence L. van Zyl, D. Kar et al. Neural Processing Letters, 2024. Cites: paper

Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare
Xiaofeng Liu, Zhihong Liu, Jie Li et al. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. Cites: paper

Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits
Tzu‐Ying Chen, Ting-Yun Huang, Yung‐Chun Chang. Journal of Biomedical Informatics, 2024. Cites: paper

A Survey on Health Care using AI
Mr. Thitme Vijay Vitthal. International Journal of Advanced Research in Science Communication and Technology, 2024. Cites: paper

A Unified Review of Deep Learning for Automated Medical Coding
Shaoxiong Ji, Xiaobo Li, Wei Sun et al. ACM Computing Surveys, 2024. Cites: paper

Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review
Jiageng Wu, Xiaocong Liu, Minghui Li et al. NEJM AI, 2024. Cites: paper

Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models
Shuang Chun Yang, Xi Yang, Tianchen Lyu et al. Journal of Healthcare Informatics Research, 2024. Cites: paper

Interpretable machine learning model for early prediction of delirium in elderly patients following intensive care unit admission: a derivation and validation study
Dayu Tang, Chengyong Ma, Yu Xu. Frontiers in Medicine, 2024. Cites: paper

Machine learning based prediction of kidney function deterioration in infective endocarditis
Min Woo Kang, Yoonjin Kang. Research Square, 2024. Cites: paper

Quality, safety and artificial intelligence
Tayana Soukup, Bryony Dean Franklin. BMJ Quality & Safety, 2024. Cites: paper

al-BERT: a semi-supervised denoising technique for disease prediction
Yun-Chien Tseng, Chuan-Wei Kuo, Wen-Chih Peng et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

An in-depth evaluation of federated learning on biomedical natural language processing for information extraction
Le Peng, Gaoxiang Luo, Sicheng Zhou et al. npj Digital Medicine, 2024. Cites: paper

Establishment and validation of an artificial intelligence web application for predicting postoperative in-hospital mortality in patients with hip fracture: a national cohort study of 52 707 cases
Mingxing Lei, Taojin Feng, Ming Chen et al. International Journal of Surgery, 2024. Cites: paper

Inferring Electrocardiography From Optical Sensing Using Lightweight Neural Network
Yuenan Li, Xin Tian, Qiang Zhu et al. IEEE Transactions on Artificial Intelligence, 2024. Cites: paper

Sepsis Prediction
Mrs. Nagaveni B Nimbal. International Journal for Research in Applied Science and Engineering Technology, 2024. Cites: paper

Noninvasive Blood Pressure Classification Based on Photoplethysmography Using Machine Learning Techniques
Hanieh Mohammadi, Bahram Tarvirdizadeh, Khalil Alipour et al. 2024. Cites: paper

Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data
Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic et al. npj Digital Medicine, 2024. Cites: paper

DMRNet: Effective Network for Accurate Discharge Medication Recommendation
Jiyun Shi, Yuqiao Wang, Chi Zhang et al. IEEE International Conference on Data Engineering (ICDE), 2024. Cites: paper

FedCFC: On-Device Personalized Federated Learning with Closed-Form Continuous-Time Neural Networks
Yimin Dai, Rui Tan. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2024. Cites: paper

FedMix: Boosting with Data Mixture for Vertical Federated Learning
Yihang Cheng, Lan Zhang, Junyang Wang et al. IEEE International Conference on Data Engineering (ICDE), 2024. Cites: paper

Reducing Resource Usage for Continuous Model Updating and Predictive Query Answering in Graph Streams
Qu Liu, Adam King, Tingjian Ge. IEEE International Conference on Data Engineering (ICDE), 2024. Cites: paper

BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data
Hang Lv, Zhaorun Chen, Yacong Yang et al. International World Wide Web Conference (WWW), 2024. Cites: paper

Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows
Yanchao Tan, Hengyu Zhang, Zihao Zhou et al. International World Wide Web Conference (WWW), 2024. Cites: paper

Prompt-Eng: Healthcare Prompt Engineering: Revolutionizing Healthcare Applications with Precision Prompts
Awais Ahmed, Mengshu Hou, Rui Xi et al. International World Wide Web Conference (WWW), 2024. Cites: paper

Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology
Alexis Nolin-Lapalme, Denis Corbin, Olivier Tastet et al. Canadian Journal of Cardiology, 2024. Cites: paper

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Shao Zhang, Jianing Yu, Xuhai Xu et al. CHI Conference on Human Factors in Computing Systems, 2024. Cites: paper

UNet-BiLSTM: A Deep Learning Method for Reconstructing Electrocardiography from Photoplethysmography
Yanke Guo, Qunfeng Tang, Zhencheng Chen et al. Electronics, 2024. Cites: paper

A nursing note-aware deep neural network for predicting mortality risk after hospital discharge
Yong-Zhen Huang, Yanming Chen, Chih-Cheng Lin et al. International Journal of Nursing Studies, 2024. Cites: paper

Development and Validation of a Prediction Model for Acute Hypotensive Events in Intensive Care Unit Patients
Toshiyuki Nakanishi, Tatsuya Tsuji, Tetsuya Tamura et al. Journal of Clinical Medicine, 2024. Cites: paper

Improved clinical data imputation via classical and quantum determinantal point processes
Skander Kazdaghli, Iordanis Kerenidis, Jens Kieckbusch et al. eLife, 2024. Cites: paper

Safe drug recommendation through forward data imputation and recurrent residual neural network
Junping Liu, Zhiju Wan, Xinrong Hu et al. Applied Soft Computing, 2024. Cites: paper

Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care
Jenna Wiens, Kayte Spector‐Bagdady, Bhramar Mukherjee. Annual Review of Genomics and Human Genetics, 2024. Cites: paper

Comparative performance of intensive care mortality prediction models based on manually curated versus automatically extracted electronic health record data
Ameet R. Jagesar, Martijn Otten, Tariq A. Dam et al. International Journal of Medical Informatics, 2024. Cites: paper

Improving sepsis classification performance with artificial intelligence algorithms: A comprehensive overview of healthcare applications
G Anjana, K L Nisha, Arun Sankar M.S. Journal of Critical Care, 2024. Cites: paper

Multi-Channel Hypergraph Network for Sequential Diagnosis Prediction in Healthcare
Xin Zhang, Xueping Peng, Wei‐Min Chen et al. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2024. Cites: paper

Significance-aware Medication Recommendation with Medication Representation Learning
Yishuo Li, Zhufeng Shao, Weimin Chen et al. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2024. Cites: paper

Development of a Computable Phenotype for Prehospital Pediatric Asthma Encounters
Ira Harmon, Jennifer Brailsford, I Roncero Sánchez-Cano et al. Prehospital Emergency Care, 2024. Cites: paper

Filling the gaps: leveraging large language models for temporal harmonization of clinical text across multiple medical visits for clinical prediction
Inyoung Choi, Qi Long, Emily J. Getzen. medRxiv, 2024. Cites: paper

Recent advancements and applications of deep learning in heart failure: Α systematic review
Γεώργιος Πετμεζάς, Vasileios Ε. Papageorgiou, Vassilios Pericles Vassilikos et al. Computers in Biology and Medicine, 2024. Cites: paper

Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT
Shoya Wada, Toshihiro Takeda, Katsuki Okada et al. Artificial Intelligence in Medicine, 2024. Cites: paper

A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models
Hossein Rouhizadeh, Irina Nikishina, Anthony Yazdani et al. Scientific Data, 2024. Cites: paper

Continuous patient state attention model for addressing irregularity in electronic health records
Vinod Kumar Chauhan, Anshul Thakur, Odhran O’Donoghue et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

PSO-XnB: a proposed model for predicting hospital stay of CAD patients
Geetha Pratyusha Miriyala, Arun Kumar Sinha. Frontiers in Artificial Intelligence, 2024. Cites: paper

UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation
Chenbin Ma, Peng Zhang, Fan Song et al. IEEE Transactions on Artificial Intelligence, 2024. Cites: paper

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