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

Unsupervised patient representations from clinical notes with interpretable classification decisions
Madhumita Sushil, Simon Šuster, Kim Luyckx et al. arXiv (Cornell University), 2017. Cites: paper

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition
Iñigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi. Journal of Biomedical Informatics, 2017. Cites: paper

Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning
Shiyue Zhang, Pengtao Xie, Dong Wang et al. arXiv (Cornell University), 2017. Cites: paper

Towards Automated ICD Coding Using Deep Learning
Haoran Shi, Pengtao Xie, Zhiting Hu et al. arXiv (Cornell University), 2017. Cites: paper

Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan et al. arXiv (Cornell University), 2017. Cites: paper

Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study
Ling Yuan, Sadid A. Hasan, Vivek V. Datla et al. Machine Learning for Healthcare Conference, 2017. Cites: paper

Predicting Discharge Medications at Admission Time Based on Deep Learning
Yang Yuan, Pengtao Xie, Xin Gao et al. arXiv (Cornell University), 2017. Cites: paper

Automated clinical diagnosis: The role of content in various sections of a clinical document
Vivek V. Datla, Sadid A. Hasan, Ashequl Qadir et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017. Cites: paper

A weighted similarity measure approach to predict intensive care unit transfers
Aditya Patel, Izzatbir Singh, Landon Brand et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017. Cites: paper

Deep Learning Solutions to Computational Phenotyping in Health Care
Zhengping Che, Yan Liu. IEEE ... International Conference on Data Mining workshops, 2017. Cites: paper

DIR — A semantic information resource for healthcare datasets
Jingyi Shi, Mingna Zheng, Lixia Yao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017. Cites: paper

Joint learning of representations of medical concepts and words from EHR data
Tian Bai, Ashis Kumar Chanda, Brian Lee Egleston et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017. Cites: paper

Predicting Hospital Length of Stay Using Neural Networks on MIMIC III Data
Thanos Gentimis, Ala’ J. Alnaser, Alex Durante et al. IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2017. Cites: paper

Predicting medical nonadherence using natural language processing
Hedyeh Elahinia, Jesse D. Raffa, Joy Tzung-Yu Wu et al. IEEE MIT Undergraduate Research Technology Conference (URTC), 2017. Cites: paper

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
Benjamin Shickel, Patrick James Tighe, Azra Bihorac et al. IEEE Journal of Biomedical and Health Informatics, 2017. Cites: paper

Data discovery with DATS: exemplar adoptions and lessons learned
Alejandra N Gonzalez-Beltran, John P. Campbell, Patrick Dunn et al. Journal of the American Medical Informatics Association, 2017. Cites: paper

Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
Pieter Fivez, Simon Šuster, Walter M. P. Daelemans. Computational Linguistics in the Netherlands Journal, 2017. Cites: paper

Safe Medicine Recommendation via Medical Knowledge Graph Embedding
Meng Wang, Liu Mengyue, Jun Liu et al. arXiv (Cornell University), 2017. Cites: paper

Recommending treatments for comorbid patients using word-based and phrase-based alignment methods
Elie Merhej, Steven Schockaert, T. Greg McKelvey et al. ORCA Online Research @Cardiff (Cardiff University), 2017. Cites: paper

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach
Aya Awad, Mohamed Bahy Bader-El-Den, James McNicholas et al. International Journal of Medical Informatics, 2017. Cites: paper

Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment
Tal Baumel, Jumana Nassour-Kassis, Cohen, Raphael et al. arXiv (Cornell University), 2017. Cites: paper

Selecting relevant features from the electronic health record for clinical code prediction
Elyne Scheurwegs, Boris Čule, Kim Luyckx et al. Journal of Biomedical Informatics, 2017. Cites: paper

Methods for enhancing the reproducibility of biomedical research findings using electronic health records
Spiros Denaxas, Kenan Direk, Arturo González-Izquierdo et al. BioData Mining, 2017. Cites: paper

Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients
Eitam Sheetrit, Nir Nissim, Denis Klimov et al. arXiv (Cornell University), 2017. Cites: paper

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
Thomas Desautels, Ritankar Das, Jacob S. Calvert et al. BMJ Open, 2017. Cites: paper

Interpretable Predictions of Clinical Outcomes with An Attention-based Recurrent Neural Network
Ying Sha, May Dongmei Wang. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2017. Cites: paper

Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics
Supreeth Prajwal Shashikumar, Matthew D. Stanley, Ismail Sadiq et al. Journal of Electrocardiology, 2017. Cites: paper

Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes
Yuan Luo, Yu Cheng, Özlem Uzuner et al. Journal of the American Medical Informatics Association, 2017. Cites: paper

GRAM
Edward Choi, Mohammad Taha Bahadori, Le Song et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Cites: paper

LEAP
Yutao Zhang, Robert F. Chen, Jie Tang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Cites: paper

Patient Subtyping via Time-Aware LSTM Networks
İnci M. Baytaş, Cao Xiao, Xi Zhang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Cites: paper

Predicting Clinical Outcomes Across Changing Electronic Health Record Systems
Jen J. Gong, Tristan Naumann, Peter Szolovits B et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Cites: paper

Resolving the Bias in Electronic Medical Records
Kaiping Zheng, Jinyang Gao, Kee Yuan Ngiam et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Cites: paper

Approximate Temporal Functional Dependencies on Clinical Data
Matteo Mantovani. IEEE International Conference on Healthcare Informatics (ICHI), 2017. Cites: paper

Discovering Quantitative Temporal Functional Dependencies on Clinical Data
Carlo Combi, Matteo Mantovani, Pietro Sala. IEEE International Conference on Healthcare Informatics (ICHI), 2017. Cites: paper

The MIMIC Code Repository: enabling reproducibility in critical care research
Alistair E. W. Johnson, David J. Stone, Leo Anthony Celi et al. Journal of the American Medical Informatics Association, 2017. Cites: paper

iNICU – Integrated Neonatal Care Unit: Capturing Neonatal Journey in an Intelligent Data Way
Harpreet Paramjeet Singh, Gautam Yadav, Raghuram Mallaiah et al. Journal of Medical Systems, 2017. Cites: paper

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking
Meng Wang, Jiaheng Zhang, Jun Liu et al. arXiv (Cornell University), 2017. Cites: paper

Clinical Evaluation of Sepsis-1 and Sepsis-3 in the ICU
Xueling Fang, Zhenzhen Wang, Jun Yang et al. CHEST Journal, 2017. Cites: paper

Recurrent neural networks for classifying relations in clinical notes
Yuan Luo. Journal of Biomedical Informatics, 2017. Cites: paper

Prescription extraction using CRFs and word embeddings
Carson Tao, Michele Filannino, Özlem Uzuner. Journal of Biomedical Informatics, 2017. Cites: paper

CCS Coding of Discharge Diagnoses via Deep Neural Networks
Chadi Helwe, Shady Elbassuoni, Mirabelle Geha et al. International Conference on Digital Health, 2017. Cites: paper

Machine learning landscapes and predictions for patient outcomes
Ritankar Das, David J. Wales. Royal Society Open Science, 2017. Cites: paper

Short-term prediction of low kidney function in ICU patients
Ricardo Pacheco, Cátia M. Salgado, Rodrigo Octávio Deliberato et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017. Cites: paper

A System for Continuous Estimating and Monitoring Cardiac Output via Arterial Waveform Analysis.
A Vakily, H Parsaei, M. M. Movahhedi et al. PubMed Central, 2017. Cites: paper

Semi-Automatic De-identification of Hospital Discharge Summaries with Natural Language Processing: A Case-Study of Performance and Real-World Usability
Ioan Calapodescu, David Rozier, Svetlana Artemova et al. IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2017. Cites: paper

Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi et al. arXiv (Cornell University), 2017. Cites: paper

Grounded Recurrent Neural Networks
Ankit Vani, Yacine Jernite, David Alexander Sontag. arXiv (Cornell University), 2017. Cites: paper

Development of a novel score for the prediction of hospital mortality in patients with severe sepsis: the use of electronic healthcare records with LASSO regression
Zhongheng Zhang, Yucai Hong. Oncotarget, 2017. Cites: paper

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
Ahmed M. Alaa, Scott B. Hu, Mihaela van der Schaar. arXiv (Cornell University), 2017. Cites: paper

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