Related references
Note: Only part of the references are listed.Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy et al.
NPJ DIGITAL MEDICINE (2021)
Language models are an effective representation learning technique for electronic health record data
Ethan Steinberg et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2021)
Generalized and transferable patient language representation for phenotyping with limited data
Yuqi Si et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2021)
Should Health Care Demand Interpretable Artificial Intelligence or Accept Black Box Medicine?
Fei Wang et al.
ANNALS OF INTERNAL MEDICINE (2020)
Deep learning for electronic health records: A comparative review of multiple deep neural architectures
Jose Roberto Ayala Solares et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2020)
Axes of a revolution: challenges and promises of big data in healthcare
Smadar Shilo et al.
NATURE MEDICINE (2020)
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
Sebastiano Barbieri et al.
SCIENTIFIC REPORTS (2020)
BEHRT: Transformer for Electronic Health Records
Yikuan Li et al.
SCIENTIFIC REPORTS (2020)
Harmonized representation learning on dynamic EHR graphs
Dongha Lee et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2020)
Optimizing Autoencoders for Learning Deep Representations From Health Data
Chongyu Zhou et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Data-Driven Subtyping of Parkinson's Disease Using Longitudinal Clinical Records: A Cohort Study
Xi Zhang et al.
SCIENTIFIC REPORTS (2019)
Predictive Modeling of the Hospital Readmission Risk from Patients' Claims Data Using Machine Learning: A Case Study on COPD
Xu Min et al.
SCIENTIFIC REPORTS (2019)
Distributed learning from multiple EHR databases: Contextual embedding models for medical events
Ziyi Li et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2019)
Deep learning with multimodal representation for pancancer prognosis prediction
Anika Cheerla et al.
BIOINFORMATICS (2019)
Do no harm: a roadmap for responsible machine learning for health care
Jenna Wiens et al.
NATURE MEDICINE (2019)
Estimating heritability and genetic correlations from large health datasets in the absence of genetic data
Gengjie Jia et al.
NATURE COMMUNICATIONS (2019)
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records
Xi Sheryl Zhang et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Bi-dimensional Representation of Patients for Diagnosis Prediction
Weijing Wang et al.
2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2 (2019)
Distributed Tensor Decomposition for Large Scale Health Analytics
Huan He et al.
WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)
Deep Patient Similarity Learning for Personalized Healthcare
Qiuling Suo et al.
IEEE TRANSACTIONS ON NANOBIOSCIENCE (2018)
Patient representation learning and interpretable evaluation using clinical notes
Madhumita Sushil et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Prediction task guided representation learning of medical codes in EHR
Liwen Cui et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Distributed deep learning networks among institutions for medical imaging
Ken Chang et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2018)
Readmission prediction via deep contextual embedding of clinical concepts
Cao Xiao et al.
PLOS ONE (2018)
Enter the Matrix: Factorization Uncovers Knowledge from Omics
Genevieve L. Stein-O'Brien et al.
TRENDS IN GENETICS (2018)
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Tom J. Pollard et al.
SCIENTIFIC DATA (2018)
EHR phenotyping via jointly embedding medical concepts and words into a unified vector space
Tian Bai et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2018)
Scalable and accurate deep learning with electronic health records
Alvin Rajkomar et al.
NPJ DIGITAL MEDICINE (2018)
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini et al.
CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2018)
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare
Fenglong Ma et al.
CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2018)
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time
Tian Bai et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
Junghye Lee et al.
JMIR MEDICAL INFORMATICS (2018)
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang et al.
IEEE ACCESS (2018)
Learning Deep Representations from Heterogeneous Patient Data for Predictive Diagnosis
Chongyu Zhou et al.
ACM-BCB' 2017: PROCEEDINGS OF THE 8TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY,AND HEALTH INFORMATICS (2017)
Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT
Timo M. Deist et al.
CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY (2017)
Federated Tensor Factorization for Computational Phenotyping
Yejin Kim et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
Patient Subtyping via Time-Aware LSTM Networks
Inci M. Baytas et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
MIMIC-III, a freely accessible critical care database
Alistair E. W. Johnson et al.
SCIENTIFIC DATA (2016)
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Riccardo Miotto et al.
SCIENTIFIC REPORTS (2016)
Rayyan-a web and mobile app for systematic reviews
Mourad Ouzzani et al.
SYSTEMATIC REVIEWS (2016)
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)
Truyen Tran et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2015)
Deep Computational Phenotyping
Zhengping Che et al.
KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2015)
A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data
Fei Wang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Representation Learning: A Review and New Perspectives
Yoshua Bengio et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
A Framework for Regularized Non-Negative Matrix Factorization, with Application to the Analysis of Gene Expression Data
Leo Taslaman et al.
PLOS ONE (2012)
ON TENSORS, SPARSITY, AND NONNEGATIVE FACTORIZATIONS
Eric C. Chi et al.
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2012)
The Parkinson Progression Marker Initiative (PPMI)
Kenneth Marek et al.
PROGRESS IN NEUROBIOLOGY (2011)
Zotero: A bibliographic assistant to researcher
K. K. Mueen Ahmed et al.
JOURNAL OF PHARMACOLOGY & PHARMACOTHERAPEUTICS (2011)
Prediction Modeling Using EHR Data Challenges, Strategies, and a Comparison of Machine Learning Approaches
Jionglin Wu et al.
MEDICAL CARE (2010)
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
David Moher et al.
INTERNATIONAL JOURNAL OF SURGERY (2010)
Recognizing Obesity and Comorbidities in Sparse Data
Oezlem Uzuner
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2009)
Tensor Decompositions and Applications
Tamara G. Kolda et al.
SIAM REVIEW (2009)
What is principal component analysis?
Markus Ringner
NATURE BIOTECHNOLOGY (2008)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
The Alzheimer's disease neuroimaging initiative
SG Mueller et al.
NEUROIMAGING CLINICS OF NORTH AMERICA (2005)
Share Paper
