Citation Impact
Citing Papers
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
2016
Imputation of missing values for electronic health record laboratory data
2021
Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG
2020
Inferring multimodal latent topics from electronic health records
2020
Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI
2021 Standout
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
2016 Standout
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
A Predictive Model for Medical Events Based on Contextual Embedding of Temporal Sequences
2016
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop
2019
Concurrence of big data analytics and healthcare: A systematic review
2018
Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach
2020 Standout
Systematic Review and Meta-analysis of Diagnostic Accuracy of Percutaneous Renal Tumour Biopsy
2015
AI in health and medicine
2022 Standout
Large language models in medicine
2023 Standout
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
2018
Artificial Intelligence in Precision Cardiovascular Medicine
2017 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Multimodal biomedical AI
2022 Standout
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
2020 Standout
Privacy in the age of medical big data
2018 Standout
Trends in extreme learning machines: A review
2014 Standout
Language models are an effective representation learning technique for electronic health record data
2020
A guide to deep learning in healthcare
2018 Standout
Artificial Intelligence for Drug Toxicity and Safety
2019
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
Artificial Intelligence in Cardiology
2018 Standout
A Multifaceted benchmarking of synthetic electronic health record generation models
2022
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Renal cell carcinoma
2017 Standout
Mining electronic health records: towards better research applications and clinical care
2012 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Wireless big data: transforming heterogeneous networks to smart networks
2017
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
2018 Standout
Tensors for Data Mining and Data Fusion
2016
Link prediction in complex networks: A survey
2010 Standout
PARAFAC algorithms for large-scale problems
2011
Tensor Decomposition for Signal Processing and Machine Learning
2017 Standout
Artificial intelligence in drug discovery and development
2020 Standout
k-Nearest Neighbour Classifiers - A Tutorial
2021
Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data
2019 Standout
A Local Contrast Method for Small Infrared Target Detection
2013 Standout
Privacy Protection and Intrusion Avoidance for Cloudlet-Based Medical Data Sharing
2016
A Randomized Algorithm for Principal Component Analysis
2009
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing
2022
Distributed learning from multiple EHR databases: Contextual embedding models for medical events
2019
Quantum indistinguishability by path identity and with undetected photons
2022 StandoutNobel
Science of science
2018 StandoutScience
A Comprehensive Survey to Face Hallucination
2013
A State-of-the-Art Survey on Deep Learning Theory and Architectures
2019
Tensor decompositions for feature extraction and classification of high dimensional datasets
2010
Predicting missing links via local information
2009 Standout
Visualizing Topic Models
2021
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Deep Learning on Graphs: A Survey
2020 Standout
A Multifeature Tensor for Remote-Sensing Target Recognition
2010
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
2011 Standout
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
2017
Big Data Application in Biomedical Research and Health Care: A Literature Review
2016
A fast recognition framework based on extreme learning machine using hybrid object information
2010
Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach
2015
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Social Network Analysis in Enterprise
2012
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
2015 Standout
Deep Learning for 3D Point Clouds: A Survey
2020 Standout
Adaptive Graph Convolutional Neural Networks
2018
The importance of interpretability and visualization in machine learning for applications in medicine and health care
2019
Extract minimum positive and maximum negative features for imbalanced binary classification
2011
A survey on object detection in optical remote sensing images
2016 Standout
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Predicting research trends with semantic and neural networks with an application in quantum physics
2020 StandoutNobel
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Knowledge Based Artificial Augmentation Intelligence Technology: Next Step in Academic Instructional Tools for Distance Learning
2017
Artificial Intelligence in Education: A Review
2020 Standout
Clinical risk prediction by exploring high-order feature correlations.
2014
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Object Detection With Deep Learning: A Review
2019 Standout
The practical implementation of artificial intelligence technologies in medicine
2018 Standout
Link mining
2005
Doctor XAI
2020
Stroke Risk Prediction with Machine Learning Techniques
2022 Standout
Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials
2015
Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance
2021 Standout
A Model of Text for Experimentation in the Social Sciences
2016 Standout
Attention Models in Graphs
2019
Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects
2020
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis
2015
A review on time series data mining
2010
Learning statistical models of phenotypes using noisy labeled training data
2016
A survey of multilinear subspace learning for tensor data
2011
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
Advancements of Outlier Detection: A Survey
2013
Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship
2014
Communication-Efficient Edge AI: Algorithms and Systems
2020
Works of Jimeng Sun being referenced
Abstract 12035: Text and Data Mining of Longitudinal Electronic Health Records (EHRs) in a Primary Care Population Can Identify Heart Failure (HF) Patients Months to Years Prior to Formal Diagnosis Using the Framingham Criteria
2011
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
2018
Two heads better than one: pattern discovery in time-evolving multi-aspect data
2008
Technical Challenges for Big Data in Biomedicine and Health: Data Sources, Infrastructure, and Analytics
2014
Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
2018
Limestone: High-throughput candidate phenotype generation via tensor factorization
2014
Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record
2014
Predicting changes in hypertension control using electronic health records from a chronic disease management program
2013
From hype to reality: data science enabling personalized medicine
2018
FacetAtlas: Multifaceted Visualization for Rich Text Corpora
2010
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records
2013
IBM’s Health Analytics and Clinical Decision Support
2014
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods
2016
Relevance search and anomaly detection in bipartite graphs
2005
Rubik
2015
Incremental tensor analysis
2008
Incremental pattern discovery on streams, graphs and tensors
2008
Supervised patient similarity measure of heterogeneous patient records
2012
Survey on distance metric learning and dimensionality reduction in data mining
2014
Ensuring electronic medical record simulation through better training, modeling, and evaluation
2019
GRAM
2017
SynTEG: a framework for temporal structured electronic health data simulation
2020
Predicting Patient's Trajectory of Physiological Data using Temporal Trends in Similar Patients: A System for Near-Term Prognostics.
2010
SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence
2009
Less is More: Sparse Graph Mining with Compact Matrix Decomposition
2007
Personalized Predictive Modeling and Risk Factor Identification using Patient Similarity.
2015
Combining knowledge and data driven insights for identifying risk factors using electronic health records.
2012
Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data
2019
Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different Sources
2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
2018
Streaming Pattern Discovery in Multiple Time-Series
2008
Using recurrent neural network models for early detection of heart failure onset
2016
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
2018
Bayesian Tensor Approach for 3-D Face Modeling
2008