Publications citing MIMIC-III Waveform Database Matched Subset v1.0

Transformers for Multi-label Classification of Medical Text: An Empirical Comparison
Vithya Yogarajan, Jacob Montiel, Tony C. Smith et al. Lecture notes in computer science, 2021. Cites: paper

TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding
Biplob Biswas, Thai-Hoang Pham, Ping Zhang. Lecture notes in computer science, 2021. Cites: paper

Tri-Transformer Hawkes Process: Three Heads are Better Than One
Zhiyan Song, Jian–wei Liu, Lu-ning Zhang et al. Lecture notes in computer science, 2021. Cites: paper

Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups
Farzaneh Khoshnevisan, Min Chi. Lecture notes in computer science, 2021. Cites: paper

Unsupervised visual perception-based representation learning for time-series and trajectories
Gaurangi Anand. Queensland University of Technology, 2021. Cites: paper

Use of Medical Imaging to Advance Mental Health Care: Contributions from Neuroimaging Informatics
Randy L. Gollub, Nicole M. Benson. Health informatics, 2021. Cites: paper

Variational Knowledge Distillation for Disease Classification in Chest X-Rays
Tom van Sonsbeek, Xiantong Zhen, Marcel Worring et al. Lecture notes in computer science, 2021. Cites: paper

Working as a Health AI Specialist
Angela C. Davies, Alan Davies, Anthony J. Wilson et al. Health informatics, 2021. Cites: paper

A novel nomogram for predicting survival in patients with severe acute pancreatitis: an analysis based on the large MIMIC-III clinical database
Di di Han, Shuo Feng Xu, Zhuo Cheng Li et al. 2020. Cites: paper

Assessment of Heart Rate Variability derived from Blood Pressure Pulse Recordings in Intensive Care Unit Patients
Maximiliano Mollura, Edoardo Maria Polo, Li-wei H. Lehman et al. Computing in cardiology, 2020. Cites: paper

Comparing Trends in Blood Pressure Computed from the Arterial Line and Sphygmomanometer in the ICU
Eoin Finnegan, Mauricio Villarroel, Shaun M. Davidson et al. Computing in cardiology, 2020. Cites: paper

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
Yuqi Si, Jingcheng Du, Zhao Li et al. Journal of Biomedical Informatics, 2020. Cites: paper

Machine learning as a tool for diagnostic and prognostic research in coronary artery disease
B. I. Geltser, Циванюк Михаил Михайлович, Karina I. Shakhgeldyan et al. Russian Journal of Cardiology, 2020. Cites: paper

Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation
Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi et al. Computing in cardiology, 2020. Cites: paper

Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit
Shaun M. Davidson, Mauricio Villarroel, Eoin Finnegan et al. Computing in cardiology, 2020. Cites: paper

Sites and Causes of Infection in Patients with Sepsis-Associated Liver Dysfunction: A Population Study from the Medical Information Mart for Intensive Care III
Jinfeng Lin, Chunfeng Gu, Suyan Zhang et al. Medical Science Monitor, 2020. Cites: paper

Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction
Akshara Prabhakar, S Shidharth, Gokul S Krishnan et al. Joint International Conference on Data Science & Management of Data (CODS-COMAD), 2020. Cites: paper

CREATE: A New Data Resource to Support Cardiac Precision Health
Seungwon “Shawn” Lee, Bing Li, Elliot A. Martin et al. CJC Open, 2020. Cites: paper

Beat-to-Beat Continuous Blood Pressure Estimation Using Bidirectional Long Short-Term Memory Network
Dongseok Lee, Hyunbin Kwon, Dongyeon Son et al. Sensors, 2020. Cites: paper

Noise-tolerant similarity search in temporal medical data
Luca Bonomi, Liyue Fan, Xiaoqian Jiang. Journal of Biomedical Informatics, 2020. Cites: paper

A Novel and Reliable Framework of Patient Deterioration Prediction in Intensive Care Unit Based on Long Short-Term Memory-Recurrent Neural Network
Tariq Ibrahim Al-Shwaheen, Yuan Wen Hau, Nizar Ass'Ad et al. IEEE Access, 2020. Cites: paper

Association between metformin use on admission and outcomes in intensive care unit patients with acute kidney injury and type 2 diabetes: A retrospective cohort study
Qilin Yang, Jiezhao Zheng, Deliang Wen et al. Journal of Critical Care, 2020. Cites: paper

CMIID: A comprehensive medical information identifier for clinical search harmonization in Data Safe Havens
Michael A.P. Domingues, Rui Carlos Camacho, Pedro Pereira Rodrigues. Journal of Biomedical Informatics, 2020. Cites: paper

Hyperchloremia is associated with aute kidney injury in critical ill patients: an analysis of the MIMIC-III database
Jie Gu, Tingting Zuo, Qingqing Zhu et al. Research Square, 2020. Cites: paper

A new prediction model for acute kidney injury in patients with sepsis
Chenyu Fan, Xiu Ding, Yanli Song. Annals of Palliative Medicine, 2020. Cites: paper

Automated Confirmation of Protein Annotation Using NLP and the UniProtKB Database
Jin Tao, Kelly A. Brayton, Shira Lynn Broschat. Applied Sciences, 2020. Cites: paper

Evaluation of Organ Dysfunction Scores for Allocation of Scarce Resources in Critically Ill Children and Adults During a Healthcare Crisis*
Lazaro Nelson Sanchez-Pinto, William F. Parker, Anoop M. Mayampurath et al. Critical Care Medicine, 2020. Cites: paper

Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study
Harpreet Singh, Satoshi Kusuda, Ryan Michael McAdams et al. Children, 2020. Cites: paper

Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review
Sankavi Muralitharan, Walter Nelson, Shuang Di et al. Journal of Medical Internet Research, 2020. Cites: paper

Identifying subpopulations of septic patients: A temporal data-driven approach
Anis Sharafoddini, Joel A. Dubin, Joon Lee. Computers in Biology and Medicine, 2020. Cites: paper

Natural Language Processing-Based Quantication of the Mental State of Psychiatric Patients
Sankha Subhra Mukherjee, Jiawei Yu, Yida Won et al. Computational Psychiatry, 2020. Cites: paper

Novel Imputation Method Using Average Code from Autoencoders in Clinical Data
Edwar Macias, Javier Serrano, José López Vicario et al. European Signal Processing Conference (EUSIPCO), 2020. Cites: paper

Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau, Elisa Cirillo. Research Square, 2020. Cites: paper

Utilisation secondaire des données textuelles hospitalières : le défi des biais et de la reproductibilité
William ER Digan. 2020. Cites: paper

A deep learning backcasting approach to the electrolyte, metabolite, and acid-base parameters that predict risk in ICU patients
Albion Dervishi. PLoS ONE, 2020. Cites: paper

A prediction and interpretation framework of acute kidney injury in critical care
Kaidi Gong, Hyo Kyung Lee, Kaiye Yu et al. Journal of Biomedical Informatics, 2020. Cites: paper

Development and Validation of a Risk Factor-Based Nomogram to Early Predict in-Hospital Mortality in Adult Patients With Suspected Infection Admitted to the Intensive Care Unit: a Retrospective Cohort Study
Yang� Yang, Qiuhe Wang, Shengru Liang et al. Research Square, 2020. Cites: paper

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation
Jacob Deasy, Píetro Lió, Ari Ercole. Scientific Reports, 2020. Cites: paper

Optimal sepsis patient treatment using human-in-the-loop artificial intelligence
Akash Gupta, Michael T. Lash, Senthil Nachimuthu. Expert Systems with Applications, 2020. Cites: paper

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation
Fan Gong, Meng Wang, Haofen Wang et al. Big Data Research, 2020. Cites: paper

Additional Value of Augmenting Current Subscales in Braden Scale with Advanced Machine Learning Technique for Pressure Injury Risk Assessment
Kathan Vyas, Ali Samadani, Mladen Milošević et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Calibration-free Blood Pressure Assessment Using An Integrated Deep Learning Method
Chuanqi Han, Mengyin Gu, Fang Yu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Clinical Phrase Mining with Language Models
Kaushik Mani, Xiang Yue, Bernal Jiménez Gutiérrez et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

ClinicNet: Clinical Practice Oriented Medical Representation Learning for Electronic Medical Records
Shuai Wang, Junfei Liu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Domain specific word embeddings for natural language processing in radiology
Timothy L. Chen, Max Emerling, Gunvant Chaudhari et al. Journal of Biomedical Informatics, 2020. Cites: paper

Generating Training Data for Concept-Mining for an ‘Interface Terminology’ Annotating Cardiology EHRs
Vipina K. Keloth, Shuxin Zhou, Andrew Jeffrey Einstein et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism
Peng Su, K. Vijay‐Shanker. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Modeling Multivariate Time Series via Prototype Learning: a Multi-Level Attention-based Perspective
Dengjuan Ma, Zhu Wang, Jia Xie et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Multi-task deep representation learning method for electronic health records
Shan Yang, Xiangwei Zheng, Xuanchi Chen et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Opioid2FHIR: A system for extracting FHIR-compatible opioid prescriptions from clinical text
Jingqi Wang, William C. Mathews, Huy Anh Pham et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

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