核心团队
公司介绍 核心团队介绍
马汉东
硕士,高级工程师
联合创始人 / 副总裁
个人简介

森亿智能联合创始人兼副总裁,1991年5月12日生于连云港市。

人工智能高级工程师,扬帆计划人才,美国哥伦比亚大学医学信息学硕士,上海复旦大学生物学学士,上海交通大学计算机系在读博士。前哥伦比亚大学数据科学家,前辉瑞制药数据分析师、前哥伦比亚大学助理研究员。2009年保送上海复旦大学理科基地班,大学期间获望道学者称号。2013年进入哥伦比亚大学医学信息学系,师从翁春华教授,主攻临床数据分析应用。2015年7月起,在哥伦比亚大学医学院任数据科学家,期间发表多篇学术论文。2016年3月回国联合创立上海森亿医疗科技有限公司(森亿智能)。

 

教育背景

2014年,入选首批OMSCS项目,修读美国佐治亚理工大学计算机硕士学位。

2013-2015年,美国哥伦比亚大学,生物医学信息学(Biomedical Informatics),硕士。

2008年,保送复旦大学生物系(理科基地班)。

荣誉任职

上海市青年科技英才扬帆计划项目获得者(2020年)

入选2018福布斯中国30位30岁以下精英榜

入选2021胡润U30中国创业领袖

上海市人工智能行业协会医疗专委会秘书长

中国卫生信息与健康医疗大数据学会常务委员

中国现场统计研究会医药食品优化专业委员会常务委员

学术论著

H Ma et al. “A novel hierarchical machine learning model for hospital-acquired venous thromboembolism risk assessment among multiple-departments” Journal of biomedical informatics (2021)

 

H Ma et al. “QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback” IEEE Access (2021)

 

Y Huang, H Chen, Y Zeng, Z Liu, H Ma, J Liu. ”Development and validation of a machine learning prognostic model for hepatocellular carcinoma recurrence after surgical resection”, Frontiers in oncology, (2021)

 

X Wang, Y He, T Wang, C Li, Z Ma, H Zhang, H Ma, H Zhao, “Lipid-Lowering Therapy and Low-Density Lipoprotein Cholesterol (LDL-C) Goal Achievement in High-Cardiovascular-Risk Patients in Fuzhou, China”. Journal of cardiovascular pharmacology and therapeutics (2020)

 

Wang, Xing, et al. "Estimating the case fatality ratio of the COVID-19 epidemic in China." medRxiv (2020).

 

H. Ma, T. Wang, C. Li, D. Qin, Y. He, X. Wang, J. Huang, H. Zhao, Current Status of Lipid-lowering Therapy and Low-density Lipoprotein Cholesterol Goal Achievement in Hospitalized Acute Coronary Syndrome Patients in Fuzhou, China: A Retrospective Real World Study,ISTH Academy. (2019)

 

Gu G, Zhang X, Zhu X, Jian Z, Chen K, Wen D, Gao L, Zhang S, Wang F, Ma H, Lei J. Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach. (2019)

 

Han J, Chen K, Fang L, Zhang S, Wang F, Ma H, Zhao L, Liu S. Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research. JMIR Med Inform (2019)

 

Zheng, Tao, et al. "Detection of medical text semantic similarity based on convolutional neural network." BMC medical informatics and decision making 19.1 (2019)

 

Zheng, T., Gao, Y., Wang, F. et al. Detection of medical text semantic similarity based on convolutional neural network. BMC Med Inform Decis Mak 19, 156 (2019). https://doi.org/10.1186/s12911-019-0880-2

 

Zhe Jian, Xusheng Guo, Shijian Liu, Handong Ma, Shaodian Zhang, Rui Zhang, Jianbo Lei, A cascaded approach for Chinese clinical text de-identification with less annotation effort, Journal of Biomedical Informatics, (2017)

 

Ma H, Weng C (2016) Identification of questionable exclusion criteria in mental disorder clinical trials using a medical encyclopedia. Proc of Pacific Symposium of Biocomputing. 2016: Pacific Symposium on Biocomputing 21, 219.

 

Ma H, Weng C (2015) Prediction of Black Box Warning by Mining Patterns of Convergent Focus Shift in Clinical Trial Study Populations Using Linked Public Data. Journal of biomedical informatics 60, 132-144

 

Ma H, Hao Y, Dong X, Gong Q, Chen J, et al. (2012) Molecular mechanisms and function prediction of long noncoding RNA. ScientificWorldJournal 2012: 541786.

客服
公众号
电话
电话咨询 021-58342202