Publications citing MIMIC-II Clinical Database v2.6.0

Metabolic Acidosis
Fernando Godinho Zampieri. Elsevier eBooks, 2019. Cites: paper

Prediction of Extubation Failure for Intensive Care Unit Patients Using Light Gradient Boosting Machine
Tingting Chen, Jun Xu, Haochao Ying et al. IEEE Access, 2019. Cites: paper

Prognostic value of hematocrit levels among critically ill patients with acute kidney injury
Ying Zhou, Ming‐Hua Zheng, Chao-Sheng Chen et al. European Journal of Inflammation, 2019. Cites: paper

REflex: Flexible Framework for Relation Extraction in Multiple Domains
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits B. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Title Cardiovascular Big Data Analytics
Ioanna Chouvarda, Nicos Maglaveras. Series in bioengineering, 2019. Cites: paper

การคนพบโมทฟและดสคอรดสำหรบอนกรมเวลา โดยใชเมทรกซโพรไฟลแบบประมาณทมการเพมสมรรถนะ
ชนะพล อ้นวงษา. 2019. Cites: paper

The Connected Intensive Care Unit Patient: Exploratory Analyses and Cohort Discovery From a Critical Care Telemedicine Database
Patrick Essay, Tala B. Shahin, Baran Balkan et al. JMIR Medical Informatics, 2018. Cites: paper

The Adverse Drug Reactions From Patient Reports in Social Media Project: Protocol for an Evaluation Against a Gold Standard
Armelle Arnoux, Yannick Girardeau, Xiaoyi Chen et al. JMIR Research Protocols, 2018. Cites: paper

The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review
Man Ting Kwong, Glen Wright Colopy, Anika M. Weber et al. Bio-Design and Manufacturing, 2018. Cites: paper

Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques
Lal Hussain, Wajid Aziz, Sharjil Saeed et al. Waves in Random and Complex Media, 2018. Cites: paper

IT-driven Clinical Improvement Processes: The SkunkwORks
Jennifer J. Yuan, William C. Paganelli, Paul St. Jacques. International Anesthesiology Clinics, 2018. Cites: paper

Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study
Timothy M. Rawson, Bernard Hernandez, Luke S. P. Moore et al. Journal of Antimicrobial Chemotherapy, 2018. Cites: paper

Integrated Data Compression and Pulse Rate Extraction Scheme Using Differential Coding for Wireless PPG Monitoring Devices
Gangireddy Narendra Kumar Reddy, M. Sabarimalai Manikandan, Neti V. L. Narasimha Murty. IEEE International Conference on Industrial and Information Systems (ICIIS), 2018. Cites: paper

PPG Noise Reduction based on Adaptive Frequency Suppression using Discrete Fourier Transform for Portable Home Monitoring Applications
Deboleena Sadhukhan, Saurabh Pal, Madhuchhanda Mitra. IEEE India Conference, 2018. Cites: paper

Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data
Zakhriya Alhassan, David Budgen, Riyad Alshammari et al. International Conference on Machine Learning and Applications, 2018. Cites: paper

Using Candlestick Charting and Dynamic Time Warping for Data Behavior Modeling and Trend Prediction for MWSN in IoT
Concepcion Sanchez Aleman, Niki Pissinou, Sheila Alemany et al. IEEE International Conference on Big Data (BigData), 2018. Cites: paper

Collaborative extreme learning machine with a confidence interval for P2P learning in healthcare
Rong-Jun Xie, Ibrahim Khalil, Shahriar Badsha et al. Computer Networks, 2018. Cites: paper

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
Tom Van Steenkiste, Joeri Ruyssinck, Leen De Baets et al. Artificial Intelligence in Medicine, 2018. Cites: paper

Big Data Challenges and Opportunities in Healthcare Informatics and Smart Hospitals
Mohammed K. Hassan, Ali I. El Desouky, Sally M. Elghamrawy et al. Lecture notes in intelligent transportation and infrastructure, 2018. Cites: paper

Machine learning in critical care: state-of-the-art and a sepsis case study
Alfredo Vellido, Vicent J. Ribas, Carles Morales et al. BioMedical Engineering OnLine, 2018. Cites: paper

Technology-Mediated Data, its Integration and its Impact on Intensive Care Cognitive Work
Ying Lin. TSpace (University of Toronto), 2018. Cites: paper

A Hybrid Real-time remote monitoring framework with NB-WOA algorithm for patients with chronic diseases
Mohammed K. Hassan, Ali I. El Desouky, Sally M. Elghamrawy et al. Future Generation Computer Systems, 2018. Cites: paper

Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification
Yongbo Liang, Zhencheng Chen, Rabab Kreidieh Ward et al. Biosensors, 2018. Cites: paper

Adaptive Band Limit Estimation based PPG data compression for portable home monitors
Deboleena Sadhukhan, Saurabh Pal, Madhuchhanda Mitra. Measurement, 2018. Cites: paper

Psychiatric stressor recognition from clinical notes to reveal association with suicide
Yaoyun Zhang, Olivia R Zhang, Rui Li et al. Health Informatics Journal, 2018. Cites: paper

Computerised Decision Support System for Remote Health Monitoring: A Systematic Review
N. Shanmathi, Mohan Jagannath. IRBM, 2018. Cites: paper

Early-warning of ARDS using novelty detection and data fusion
Aline Taoum, Farah Mourad-Chehade, Hassan Amoud. Computers in Biology and Medicine, 2018. Cites: paper

Impact of Mean Arterial Pressure Fluctuation on Mortality in Critically Ill Patients
Ya Gao, Qinfen Wang, Jiamei Li et al. Critical Care Medicine, 2018. Cites: paper

ECG Signal Compression for Low-power Sensor Nodes Using Sparse Frequency Spectrum Features
Hui Huang, Shiyan Hu, Ye Sun. IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018. Cites: paper

Sepsis, the earlier the better, 3- to 1-hour bundle
Ciaran Farrell, Brian P. Casserly. Journal of Emergency and Critical Care Medicine, 2018. Cites: paper

SSTS: A syntactic tool for pattern search on time series
João Rodrigues, Duarte Folgado, David Belo et al. Information Processing & Management, 2018. Cites: paper

Cost-sensitive classifier chains: Selecting low-cost features in multi-label classification
Paweł Teisseyre, Damien Zufferey A, Marta Słomka. Pattern Recognition, 2018. Cites: paper

Concept acquisition and improved in-database similarity analysis for medical data
Ingmar Wiese, Nicole S. Sarna, Lena Wiese et al. Distributed and Parallel Databases, 2018. Cites: paper

A Lightweight Mobile Service for Context Representation through an IoT-oriented Ontology
Ernesto Fonseca Veiga, Lucas Balbino de Melo Ferreira, Mayke Ferreira Arruda et al. Brazilian Symposium on Multimedia and the Web, 2018. Cites: paper

A Composite and Wearable Sensor Kit for Location-Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction
Amit Walinjkar. Applied System Innovation, 2018. Cites: paper

The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Tom Pollard, Alistair E. W. Johnson, Jesse D. Raffa et al. Scientific Data, 2018. Cites: paper

Predicting ICU readmission using grouped physiological and medication trends
Ye Xue, Diego Klabjan, Yuan Luo. Artificial Intelligence in Medicine, 2018. Cites: paper

Data to diagnosis in global health: a 3P approach
Rahul Krishnan Pathinarupothi, P. Durga, Ekanath Srihari Rangan. BMC Medical Informatics and Decision Making, 2018. Cites: paper

Early Prediction of Patient Mortality Based on Routine Laboratory Tests and Predictive Models in Critically Ill Patients
Sven Van Poucke, Ana Kovacevic, Milan Vukičević. InTech eBooks, 2018. Cites: paper

Semantic term weighting for clinical texts
Ryosuke Matsuo, Tu Bao Ho. Expert Systems with Applications, 2018. Cites: paper

Learning to Write Notes in Electronic Health Records
Peter J. Liu. arXiv (Cornell University), 2018. Cites: paper

Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks
Michele Filannino, Özlem Uzuner. Yearbook of Medical Informatics, 2018. Cites: paper

Towards Privacy-Preserving Forensic Analysis for Time-Series Medical Data
Xiaoning Liu, Xingliang Yuan, Joseph K. Liu. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2018. Cites: paper

RETRACTED: Diagnosis labeling with disease-specific characteristics mining
Jun Guo, Xuan Yuan, Xia Zheng et al. Artificial Intelligence in Medicine, 2018. Cites: paper

Addressing Security and Privacy Challenges in Internet of Things
Arsalan Mosenia. arXiv (Cornell University), 2018. Cites: paper

Big Data for Predictive Analytics in High Acuity Health Settings
John Zaleski. Studies in big data, 2018. Cites: paper

Deriving High Performance Alerts from Reduced Sensor Data for Timely Intervention in Acute Hypotensive Episodes
Rahul Krishnan Pathinarupothi, Ekanath Srihari Rangan, P. Durga. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018. Cites: paper

The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit
Giovanni Angelotti, P. Morandini, Li-wei H. Lehman et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018. Cites: paper

Semantically Enhanced Dynamic Bayesian Network for Detecting Sepsis Mortality Risk in ICU Patients with Infection
Tony Wang, Tom Velez, Apostolova, Emilia et al. arXiv (Cornell University), 2018. Cites: paper

Robust heartbeat detection using multimodal recordings and ECG quality assessment with signal amplitudes dispersion
Zahra Rezaei Khavas, Babak Mohammadzadeh Asl. Computer Methods and Programs in Biomedicine, 2018. Cites: paper

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