Handong Ma

发表

Lipid-Lowering Therapy and Low-Density Lipoprotein Cholesterol (LDL-C) Goal Achievement in High-Cardiovascular-Risk Patients in Fuzhou, China

Heng Zhang, Xing Wang, Yan He, 2020, Journal of cardiovascular pharmacology and therapeutics.

Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Fei Wang, Shaodian Zhang, Shijian Liu, 2019, JMIR medical informatics.

A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data

Weinan Zhang, Mingcheng Chen, Shaodian Zhang, 2022, J. Biomed. Informatics.

Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment

Weinan Zhang, Shaodian Zhang, Yuchen Fang, 2022, KDD.

A novel hierarchical machine learning model for hospital-acquired venous thromboembolism risk assessment among multiple-departments

Handong Ma, Wenxiang Xu, Wenbo Sheng, 2021, J. Biomed. Informatics.

Anti-osteoporosis medication treatment pattern after osteoporotic fracture during 2010–2016 in Fujian, China

Heng Zhang, Xing Wang, Yan He, 2020, Archives of Osteoporosis.

Estimating the case fatality ratio of the COVID-19 epidemic in China

Shaodian Zhang, Rujin Chen, Chen Chen, 2020, medRxiv.

Detection of medical text semantic similarity based on convolutional neural network

Shaodian Zhang, Tao Zheng, Ya Zhang, 2019, BMC Medical Informatics and Decision Making.

Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research (Preprint)

Fei Wang, Shaodian Zhang, Handong Ma, 2019 .

Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach

Fei Wang, Shaodian Zhang, Dong Wen, 2019, JMIR medical informatics.

Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach (Preprint)

Fei Wang, Shaodian Zhang, Jianbo Lei, 2018 .

Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective study

Handong Ma, Wenbo Sheng, Wenxiang Xu, 2023, Frontiers in cardiovascular medicine.