Publications citing MIMIC-III Waveform Database v1.0

Intervention-Aware Early Warning
Dhivya Eswaran, Christos Faloutsos, Nina Mishra et al. Proceedings, 2019. Cites: paper

Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning
Xiong Liu, Yu Chen, Jay Patrick Bae et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Temporal Self-Attention Network for Medical Concept Embedding
Xueping Peng, Guodong Long, Tao Shen et al. Proceedings, 2019. Cites: paper

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
Jingqing Zhang, Xiaoyu Zhang, Kai Sun et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients
Pete Yeh, Yiheng Pan, Lazaro Nelson Sanchez-Pinto et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Utilization of echocardiography during septic shock was associated with a decreased 28-day mortality: a propensity score-matched analysis of the MIMIC-III database
Peng Lan, Tingting Wang, Hang-Yang Li et al. Annals of Translational Medicine, 2019. Cites: paper

A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlalı et al. arXiv (Cornell University), 2019. Cites: paper

Explainable Prediction of Adverse Outcomes Using Clinical Notes
Justin Lovelace, Nathan C. Hurley, Adrian D. Haimovich et al. arXiv (Cornell University), 2019. Cites: paper

Sparsely Activated Networks: A new method for decomposing and compressing data
Paschalis A. Bizopoulos. arXiv (Cornell University), 2019. Cites: paper

Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review
Javier Tejedor, Constantino Antonio García Martínez, David G. Márquez et al. Sensors, 2019. Cites: paper

A Real-Time Vital-Sign Monitoring in the Physical Domain on a Mixed-Signal Reconfigurable Platform
Sahil S. Shah, Hakan Töreyin, Cihan Berk Güngör et al. IEEE Transactions on Biomedical Circuits and Systems, 2019. Cites: paper

[Construction of multi-parameter emergency database and preliminary application research].
Junmei Wang, Tongbo Liu, Yuyao Sun et al. PubMed Central, 2019. Cites: paper

Leveraging Semantics in WordNet to Facilitate the Computer-Assisted Coding of ICD-11
Donghua Chen, Runtong Zhang, Robin G. Qiu. IEEE Journal of Biomedical and Health Informatics, 2019. Cites: paper

Trends and Focus of Machine Learning Applications for Health Research
Brett K. Beaulieu‐Jones, Samuel G. Finlayson, Corey Chivers et al. JAMA Network Open, 2019. Cites: paper

Analysis of Pulse Arrival Time as an Indicator of Blood Pressure in a Large Surgical Biosignal Database: Recommendations for Developing Ubiquitous Blood Pressure Monitoring Methods
Joonnyong Lee, Seung-Man Yang, Saram Lee et al. Journal of Clinical Medicine, 2019. Cites: paper

eMED-DNA: An in silico operating system for clinical medical data storage within the human genome
Md. Jakaria, Kowshika Sarker, Mostofa Rafid Uddin et al. bioRxiv (Cold Spring Harbor Laboratory), 2019. Cites: paper

LiSep LSTM: A Machine Learning Algorithm for Early Detection of Septic Shock
Josef Fagerström, Magnus Bång, Daniel Wilhelms et al. Scientific Reports, 2019. Cites: paper

Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan, Androz, Guillaume, Ahmad Chamseddine et al. arXiv (Cornell University), 2019. Cites: paper

Multi-Resolution Weak Supervision for Sequential Data
Frédéric Sala, Paroma Varma, Jason Fries et al. arXiv (Cornell University), 2019. Cites: paper

Combining Contextualized Embeddings and Prior Knowledge for Clinical Named Entity Recognition: Evaluation Study
Min Jiang, Todd M. Sanger, Xiong Liu. JMIR Medical Informatics, 2019. Cites: paper

A Patient Outcome Prediction based on Random Forest
Shan Yang, Xiangwei Zhengy, Feng Yuan. International Conference on Crowd Science and Engineering (ICCSE), 2019. Cites: paper

Efeitos da ventilação principalmente assistida versus parcialmente assistida durante as primeiras 48 horas de ventilação nos dias livres de ventilação mecânica em 28 dias de pacientes sem síndrome do desconforto respiratório agudo
Aline Reis. 2019. Cites: paper

Point Process Flows
Nazanin Mehrasa, Ruizhi Deng, Mohamed A. Ahmed et al. arXiv (Cornell University), 2019. Cites: paper

Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network
Samuele Fiorini, Farshid Hajati, Annalisa Barla et al. PLoS ONE, 2019. Cites: paper

A method for the graphical modeling of relative temporal constraints
Sebastian Mate, Thomas Bürkle, Lorenz A. Kapsner et al. Journal of Biomedical Informatics, 2019. Cites: paper

Broadening horizons: the case for capturing function and the role of health informatics in its use
Denis R. Newman-Griffis, Julia Porcino, Ayah Zirikly et al. BMC Public Health, 2019. Cites: paper

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
Shaika Chowdhury, Zhang, Chenwei, Philip S. Yu et al. arXiv (Cornell University), 2019. Cites: paper

Metabolic acidosis in critically ill patients with cirrhosis: Epidemiology and short-term mortality risk factors
Feng Gao, Miao-Tong Lin, Xingyi Yang et al. The Turkish Journal of Gastroenterology, 2019. Cites: paper

Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries
Na Hong, Andrew Wen, Daniel J. Stone et al. Journal of Biomedical Informatics, 2019. Cites: paper

Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Shaika Chowdhury, Zhang, Chenwei, Philip S. Yu et al. arXiv (Cornell University), 2019. Cites: paper

The association between neutrophil-to-albumin ratio and mortality in patients with cardiogenic shock: a cohort study
Yangpei Peng, Yangjing Xue, Jinsheng Wang et al. 2019. Cites: paper

Detecting Organ Failure in Motor Vehicle Trauma Patients: A Machine Learning Approach
Abhijit Bhattaru, Neil Deshmukh, Nathan Nakamitsu et al. IEEE MIT Undergraduate Research Technology Conference (URTC), 2019. Cites: paper

A Machine Learning Approach to Predict Hypotensive Events in ICU Settings
Mina Chookhachizadeh Moghadam, Ehsan Masoumi, Nader Bagherzadeh et al. bioRxiv (Cold Spring Harbor Laboratory), 2019. Cites: paper

Clinical applications of artificial intelligence in sepsis: A narrative review
Michiel Schinkel, Ketan Paranjape, Rishi S. Nannan Panday et al. Computers in Biology and Medicine, 2019. Cites: paper

Differential Privacy-enabled Federated Learning for Sensitive Health Data
Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis et al. arXiv (Cornell University), 2019. Cites: paper

Fused Gromov-Wasserstein Alignment for Hawkes Processes
Dixin Luo, Hongteng Xu, Lawrence Carin. arXiv (Cornell University), 2019. Cites: paper

MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System
D. Sangeetha, M. Venkata Rathnam, R. Vignesh et al. Smart innovation, systems and technologies, 2019. Cites: paper

The Search for Optimal Oxygen Saturation Targets in Critically Ill Patients
Willem van den Boom, Michael Hoy, Jagadish Sankaran et al. CHEST Journal, 2019. Cites: paper

Blood lactate concentration prediction in critical care patients: handling missing values
Behrooz Mamandipoor, Mahshid Majd, Monica Moz et al. arXiv (Cornell University), 2019. Cites: paper

Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models
Kathleen Fraser, Isar Nejadgholi, Berry de Bruijn et al. arXiv (Cornell University), 2019. Cites: paper

Clinical Text Generation through Leveraging Medical Concept and Relations
Wangjin Lee, Hyeryun Park, Jooyoung Yoon et al. arXiv (Cornell University), 2019. Cites: paper

Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Daniel Severo, Flávio Amaro, Estevam Rafael Hruschka Junior et al. arXiv (Cornell University), 2019. Cites: paper

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze. arXiv (Cornell University), 2019. Cites: paper

Constructing a Comprehensive Clinical Database Integrating Patients' Data from Intensive Care Units and General Wards
Tongbo Liu, Xiaoli Liu, Yong Fan et al. International Congress on Image and Signal Processing (CISP), 2019. Cites: paper

Deep Lifetime Clustering
S. Chandra Mouli, Leonardo Vilela Teixeira, Jennifer Neville et al. arXiv (Cornell University), 2019. Cites: paper

Early Sepsis Prediction in ICU Trauma Patients with Using An Improved Cascade Deep Forest Model
Mengsha Fu, Jiabin Yuan, Chen Bei. IEEE International Conference on Software Engineering and Service Science (ICSESS), 2019. Cites: paper

Extending a Generative Adversarial Network to Produce Medical Records with Demographic Characteristics and Health System Use
Piper J. Jackson, Marco Lussetti. IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2019. Cites: paper

Fuzzy Logic for Medical Diagnosis of Clinical and Hematological Symptoms
Indira Uvaliyeva, Maksat Kalimoldayev, Samir Rustamov et al. IEEE International Conference on Application of Information and Communication Technologies (AICT), 2019. Cites: paper

Mining Typical Treatment Duration Patterns for Rational Drug Use from Electronic Medical Records
Jingfeng Chen, Chonghui Guo, Leilei Sun et al. Journal of Systems Science and Systems Engineering, 2019. Cites: paper

MORPHER - A Platform to Support Modeling of Outcome and Risk Prediction in Health Research
Harry Freitas da Cruz, Benjamin Bergner, Orhan Konak et al. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2019. Cites: paper

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