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ORCIDHaifeng Liu 0005
Person information
- affiliation: IBM Research, Information and Knowledge Department, ZGC Software Park, Beijing, China
Other persons with the same name
- Haifeng Liu (aka: Hai-Feng Liu) — disambiguation page
- Haifeng Liu 0001
![[0000-0002-8142-0642]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8142-0642")
— Zhejiang University, State Key Lab of CAD&CG, College of Computer Science, China (and 1 more) - Haifeng Liu 0002 — Dalian University of Technology, Department of Computer Science, Liaoning, China
- Haifeng Liu 0003 — Huazhong University of Science and Technology, Clusters and Grid Computing Lab, National Engineering Research Center for Big Data Technology, Wuhan, China
- Haifeng Liu 0004 — Guangdong OPPO Mobile Telecommunications Corp., Ltd, Guangdong, China (and 1 more)
- Haifeng Liu 0006 — Zhejiang University, College of Computer Science, China (and 1 more)
- Haifeng Liu 0007 — Nanyang Technological University, Centre for Advanced Information Systems, School of Computer Engineering, Singapore
- Haifeng Liu 0008 (aka: Hai-Feng Liu 0008) — Guilin University of Technology, College of Geomatics and Geoinformation, China
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2010 – 2019
- 2018
[i1]Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li:
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. CoRR abs/1810.07692 (2018)- 2017
- [c30]Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang:
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI 2017: 2824-2830 - [c29]Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie:
Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA 2017 - [c28]Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang:
Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI 2017 - [c27]Xiang Li, Haifeng Liu, Jingang Yang, Guotong Xie, Meilin Xu, Yuejin Yang:
Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. MedInfo 2017: 476-480 - [c26]Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu:
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. MedInfo 2017: 491-495 - [c25]Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li:
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo 2017: 639-643 - [c24]Shijing Guo, Xiang Li, Xin Du, Haifeng Liu, Guotong Xie:
Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients. MedInfo 2017: 1024-1028 - [c23]Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu:
Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. MedInfo 2017: 1185-1189 - [c22]Yiqin Yu, Xiang Li, Gang Hu, Haifeng Liu, Jing Mei, Yuan Ni, Guoyu Tang, Guotong Xie, Weiming Xu:
Personal Health Self-Management in a Data Perspective. MedInfo 2017: 1244 - [c21]Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu:
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo 2017: 1277 - 2016
- [c20]Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guo Tong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie:
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. AMIA 2016 - [c19]Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie:
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM 2016: 659-668 - [c18]Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang:
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. MIE 2016: 562-566 - [c17]Jing Mei, Wen Sun, Jing Li, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie:
Building Evidence Graph for Clinical Decision Support. ISWC (Posters & Demos) 2016 - 2015
- [c16]Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin:
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. BPM 2015: 226-241 - [c15]Jing Mei, Haifeng Liu, Xiang Li, Guo Tong Xie, Yiqin Yu:
A Decision Fusion Framework for Treatment Recommendation Systems. MedInfo 2015: 300-304 - [c14]Xiang Li, Haifeng Liu, Jing Mei, Yiqin Yu, Guo Tong Xie:
Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. MedInfo 2015: 711-715 - [c13]Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu:
Synthesizing Analytic Evidence to Refine Care Pathways. MIE 2015: 70-74 - [c12]Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie:
Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE 2015: 190-194 - [c11]Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang:
Analysis of Care Pathway Variation Patterns in Patient Records. MIE 2015: 692-696 - 2014
- [c10]Haifeng Liu, Yang Liu, Xiang Li, Guo Tong Xie, Geetika T. Lakshmanan:
Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway. CIKM 2014: 1359-1368 - [c9]Jing Mei, Jing Li, Yiqin Yu, Xiang Li, Haifeng Liu, Guotong Xie:
Embracing case management for computerization of care pathways. MIE 2014: 3-7 - [c8]Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu:
Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE 2014: 23-27 - [c7]Xiang Li, Haifeng Liu, Shilei Zhang, Jing Mei, Guotong Xie, Yiqin Yu, Jing Li, Geetika T. Lakshmanan:
Automatic Variance Analysis of Multistage Care Pathways. MIE 2014: 715-719 - 2013
- [c6]Wen Sun, Weijia Shen, Xiang Li, Feng Cao, Yuan Ni, Haifeng Liu:
Mining Information Dependency in Outpatient Encounters for Chronic Disease Care. MedInfo 2013: 278-282 - [c5]Jing Mei, Haifeng Liu, Weijia Shen, Wen Sun, Gang Hu, Guo Tong Xie, Yue Pan:
A Framework for Evaluating Sequential Clinical Interventions with Disease Progression. MedInfo 2013: 947 - [c4]Haifeng Liu, Guo Tong Xie, Jing Mei, Weijia Shen, Wen Sun, Xiang Li:
An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques. MedInfo 2013: 1071 - 2011
- [c3]Jing Mei, Haifeng Liu, Guo Tong Xie, Shengping Liu, Baoyao Zhou:
An OCL-compliant GELLO Engine. MIE 2011: 130-134
2000 – 2009
- 2009
- [c2]Shengping Liu, Yuan Ni, Jing Mei, Hanyu Li, Guo Tong Xie, Gang Hu, Haifeng Liu, Xueqiao Hou, Yue Pan:
iSMART: Ontology-based Semantic Query of CDA Documents. AMIA 2009 - [c1]Nan Ma, Ee-Peng Lim, Viet-An Nguyen, Aixin Sun, Haifeng Liu:
Trust relationship prediction using online product review data. CIKM-CNIKM 2009: 47-54
Coauthor Index
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