Xiang Li

Orcid: 0000-0003-2643-8812

Affiliations:
  • Ping An Healthcare Technology, Beijing, China
  • IBM Research, Beijing, China
  • Zhejiang University, Hangzhou, China (PhD 2011)


According to our database1, Xiang Li authored at least 57 papers between 2010 and 2023.

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Bibliography

2023
Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

GRMI: Graph Representation Learning of Multimodal Data with Incompleteness.
Proceedings of the Database Systems for Advanced Applications, 2023

2021
ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries.
J. Heal. Informatics Res., 2021

An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19.
J. Biomed. Informatics, 2021

Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph.
Proceedings of the IEEE International Conference on Data Mining, 2021

BaT: Beat-aligned Transformer for Electrocardiogram Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data.
J. Heal. Informatics Res., 2020

Estimating the number of imported COVID-19 risks by traffic from other districts using population mobility data.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

DeepComp: Which Competing Event Will Hit the Patient First?
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy.
Proceedings of the AMIA 2020, 2020

A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation.
Proceedings of the AMIA 2020, 2020

2019
Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

TASP: A Time-Phased Model for Sepsis Prediction.
Proceedings of the 46th Computing in Cardiology, 2019

Inpatient2Vec: Medical Representation Learning for Inpatients.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks.
CoRR, 2018

Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Using Model-Based Recursive Partitioning for Treatment-Subgroup Interactions Detection in Real-World Data: A Myocardial Infarction Case Study.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Group-Based Trajectory Analysis of HIV-1 Patients.
Proceedings of the AMIA 2018, 2018

2017
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories.
CoRR, 2017

Lung nodule malignancy prediction using multi-task convolutional neural network.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Personal Health Self-Management in a Data Perspective.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Natural language description of remote sensing images based on deep learning.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation.
Proceedings of the Summit on Clinical Research Informatics, 2017

Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation.
Proceedings of the AMIA 2017, 2017

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Building Evidence Graph for Clinical Decision Support.
Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), 2016

Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.
Proceedings of the AMIA 2016, 2016

2015
Outcome-driven Evaluation Metrics for Treatment Recommendation Systems.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Synthesizing Analytic Evidence to Refine Care Pathways.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Analysis of Care Pathway Variation Patterns in Patient Records.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

A Decision Fusion Framework for Treatment Recommendation Systems.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution.
Proceedings of the Business Process Management - 13th International Conference, 2015

Building Structured Personal Health Records from Photographs of Printed Medical Records.
Proceedings of the AMIA 2015, 2015

2014
Care Pathway Workbench: Evidence Harmonization from Guideline and Data.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Embracing case management for computerization of care pathways.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Automatic Variance Analysis of Multistage Care Pathways.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Mining Information Dependency in Outpatient Encounters for Chronic Disease Care.
Proceedings of the MEDINFO 2013, 2013

An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques.
Proceedings of the MEDINFO 2013, 2013

Using Data Mining Techniques on Discovering Physician Practice Patterns Regarding to Medication Prescription - An Exploratory Study.
Proceedings of the MEDINFO 2013, 2013

SPOCS : A Smarter Point of Care System for Coordinated Chronic Disease Management.
Proceedings of the MEDINFO 2013, 2013

2011
Performance-driven animation of hand-drawn cartoon faces.
Comput. Animat. Virtual Worlds, 2011

2010
Animating cartoon faces by multi-view drawings.
Comput. Animat. Virtual Worlds, 2010


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