Chengsheng Mao
Orcid: 0000-0002-1515-9626
According to our database1,
Chengsheng Mao
authored at least 47 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease.
J. Biomed. Informatics, August, 2023
Orthogonal-Moment-Based Attraction Measurement With Ocular Hints in Video-Watching Task.
IEEE Trans. Comput. Soc. Syst., 2023
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.
CoRR, 2023
2022
Natural language processing to identify lupus nephritis phenotype in electronic health records.
BMC Medical Informatics Decis. Mak., December, 2022
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays.
IEEE Trans. Medical Imaging, 2022
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks.
J. Biomed. Informatics, 2022
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR, 2022
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury.
CoRR, 2022
Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer.
CoRR, 2021
Natural language processing to identify lupus nephritis phenotype in electronic health records.
CoRR, 2021
BMC Bioinform., 2021
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Local probabilistic model for Bayesian classification: A generalized local classification model.
Appl. Soft Comput., 2020
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling.
Proceedings of the Machine Learning for Healthcare Conference, 2020
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
Proceedings of the AMIA 2020, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks.
BMC Medical Informatics Decis. Mak., 2019
BMC Medical Informatics Decis. Mak., 2019
Traditional Chinese medicine clinical records classification with BERT and domain specific corpora.
J. Am. Medical Informatics Assoc., 2019
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization.
Bioinform., 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
CoRR, 2018
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Learning from neighborhood for classification with local distribution characteristics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Bayesian classification with local probabilistic model assumption in aiding medical diagnosis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2013
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013
Proceedings of the Seventh International Conference on Complex, 2013
2010