Ping Zhang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 18

Top Topics

Convolutional Neural Network

Artificial Intelligence

Electronic Health Record

Top Venues

BMC medical informatics and decision making

Nature machine intelligence

Knowledge and information systems

Medical review (2021)

This page only lists publications with an associated author ORCID identifier.

Publications

Ruoqi Liu, Katherine M Hunold, Jeffrey M Caterino, Ping Zhang
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. Nature machine intelligence 5 (4) (2023)
Ruoqi Liu, Katherine M Hunold, Jeffrey M Caterino, Ping Zhang
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. Nature machine intelligence 5 (4) (2023)
Jie Yang, Sicheng Hao, Jiajie Huang, Tianqi Chen, Ruoqi Liu, Ping Zhang, Mengling Feng, Yang He, Wei Xiao, Yucai Hong, Zhongheng Zhang
The application of artificial intelligence in the management of sepsis. Medical review (2021) 3 (5) (2023)
Jie Yang, Sicheng Hao, Jiajie Huang, Tianqi Chen, Ruoqi Liu, Ping Zhang, Mengling Feng, Yang He, Wei Xiao, Yucai Hong, Zhongheng Zhang
The application of artificial intelligence in the management of sepsis. Medical review (2021) 3 (5) (2023)
Yuanlong Wang, Changchang Yin, Ping Zhang
Multimodal Risk Prediction with Physiological Signals, Medical Images and Clinical Notes. medRxiv : the preprint server for health sciences (2023)
Ruoqi Liu, Katherine M Hunold, Jeffrey M Caterino, Ping Zhang
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. Nature machine intelligence 5 (4) (2023)
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. Knowledge and information systems 65 (4) (2022)
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. Knowledge and information systems 65 (4) (2022)
Weidan Cao, Michael Wesley Milks, Xiaofu Liu, Megan E Gregory, Daniel Addison, Ping Zhang, Lang Li
mHealth Interventions for Self-management of Hypertension: Framework and Systematic Review on Engagement, Interactivity, and Tailoring. JMIR mHealth and uHealth 10 (3) (2022)
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. Knowledge and information systems 65 (4) (2022)
Macarius M Donneyong, Michael A Fischer, Michael A Langston, Joshua J Joseph, Paul D Juarez, Ping Zhang, David M Kline
Examining the Drivers of Racial/Ethnic Disparities in Non-Adherence to Antihypertensive Medications and Mortality Due to Heart Disease and Stroke: A County-Level Analysis. International journal of environmental research and public health 18 (23) (2021)
Yuanfang Guan, Hongyang Li, Daiyao Yi, Dongdong Zhang, Changchang Yin, Keyu Li, Ping Zhang
A survival model generalized to regression learning algorithms. Nature computational science 1 (6) (2021)
Qianlong Wen, Ruoqi Liu, Ping Zhang
Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases. BMC medical informatics and decision making 21 (Suppl 8) (2021)
Lei Wang, Aditi Shendre, Chien-Wei Chiang, Weidan Cao, Xia Ning, Ping Zhang, Pengyue Zhang, Lang Li
A pharmacovigilance study of pharmacokinetic drug interactions using a translational informatics discovery approach. British journal of clinical pharmacology (2021)
Rui Li, Changchang Yin, Samuel Yang, Buyue Qian, Ping Zhang
Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach. Journal of medical Internet research 22 (9) (2020)
Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Combining structured and unstructured data for predictive models: a deep learning approach. BMC medical informatics and decision making 20 (1) (2020)
Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang
An interpretable risk prediction model for healthcare with pattern attention. BMC medical informatics and decision making 20 (Suppl 11) (2020)
Ruoqi Liu, Ping Zhang
Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports. BMC medical informatics and decision making 19 (1) (2019)