Cited by

MIMIC-II Clinical Database (v2.6.0)

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1172 publications cite any version of this project or its primary paper, newest first.

• Predicting tachycardia as a surrogate for instability in the intensive care unit
  Joo Heung Yoon, Liuquan Mu, Lujie Chen et al. Journal of Clinical Monitoring and Computing, 2019. Cites: paper
• Synchronization control of pulsatile ventricular assist devices by combination usage of different physiological signals
  Xinghui Li, Lunchao Zhong, Lin Luo et al. Computer Assisted Surgery, 2019. Cites: paper
• Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients
  Jacob S. Calvert, Nicholas Saber, Jana L. Hoffman et al. Diagnostics, 2019. Cites: paper
• Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN
  Ying Yu, Min Li, Liangliang Liu et al. Journal of Biomedical Informatics, 2019. Cites: paper
• Description of Clinical Characteristics of VAP Patients in MIMIC Database
  Qingqing Liu, Jin Yang, Jun Zhang et al. Frontiers in Pharmacology, 2019. Cites: paper
• Evidence-based model for real-time surveillance of ARDS
  Aline Taoum, Farah Mourad-Chehade, Hassan Amoud. Biomedical Signal Processing and Control, 2019. Cites: paper
• Multi-sensor data fusion : Application to the prediction of ARDS
  Aline Taoum. theses.fr (ABES), 2019. Cites: paper
• Real-Time PPG Signal Quality Assessment System for Improving Battery Life and False Alarms
  Simhadri Vadrevu, M. Sabarimalai Manikandan. IEEE Transactions on Circuits & Systems II Express Briefs, 2019. Cites: paper
• An accurate missing data prediction method using LSTM based deep learning for health care
  Hemant Verma, Sudhir Kumar. International Conference on Distributed Computing and Networking (ICDCN), 2019. Cites: paper
• A Hybrid Normalization Method for Medical Concepts in Clinical Narrative using Semantic Matching.
  Yen-Fu Luo, Weiyi Sun, Anna Rumshisky. PubMed, 2019. Cites: paper
• A new model for tracking and detection of deterioration of vital signs based on artificial neural network
  Tariq Ibrahim Al-Shwaheen, Wenhao Yuan. 2019. Cites: paper
• Bronchopulmonary Dysplasia
  Pierro. Research Publications (Maastricht University), 2019. Cites: paper
• Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping
  Eric Rojas, Daniel Capurro N. Lecture notes in business information processing, 2019. Cites: paper
• Critical Care, Critical Data
  Christopher V. Cosgriff, Leo Anthony Celi, David J. Stone. Biomedical Engineering and Computational Biology, 2019. Cites: paper
• Early Detection of Inpatient Deterioration Using Wearable Monitors
  Timothy Bonnici. 2019. Cites: paper
• End-to-End Blood Pressure Prediction via Fully Convolutional Networks
  Sanghyun Baek, Ji-Yong Jang, Sungroh Yoon. IEEE Access, 2019. Cites: paper
• Finding Understudied Disorders Potentially Associated with Maternal Morbidity and Mortality
  Laritza M Rodriguez, Dina Demner Fushman. American Journal of Perinatology Reports, 2019. Cites: paper
• Generating Positive Psychosis Symptom Keywords from Electronic Health Records
  Natalia Viani, Rashmi Patel, Robert J. Stewart et al. Lecture notes in computer science, 2019. Cites: paper
• Hypotensive Episode Prediction in ICUs via Observation Window Splitting
  Elad Tsur, Mark Last, Victor F. Garcia et al. Lecture notes in computer science, 2019. Cites: paper
• Machine Learning Approaches in Smart Health
  Zeina Rayan, Marco Alfonse, Abdel-Badeeh Mohamed Salem. Procedia Computer Science, 2019. Cites: paper
• 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. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper
• Title Cardiovascular Big Data Analytics
  Ioanna Chouvarda, Nicos Maglaveras. Series in bioengineering, 2019. Cites: paper
• การค้นพบโมทีฟและดิสคอร์ดสำหรับอนุกรมเวลา โดยใช้เมทริกซ์โพรไฟล์แบบประมาณที่มีการเพิ่มสมรรถนะ
  ชนะพล อ้นวงษา. Chula Digiverse, 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
• Machine Learning Methods for Septic Shock Prediction
  Aiman Darwiche, Sumitra Mukherjee. International Conference on Artificial Intelligence and Virtual Reality (AIVR), 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

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.