Award

基于临床大数据多层次多维度智能化华法林个体化合理用药核心要素和关键技术循证研究

Funder: National Natural Science Foundation of China

Amount: ¥485,000

Funding type: grant

Funder scheme: 面上项目

Start date: 2019-01-01

End date: 2023-12-31

Investigator: 进陈

Institution: 四川大学

Funded outputs count: 6

Funder award ID: 71974137

OpenAlex ID: G2575477237

Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials: a meta-epidemiological study

2024 · Ingrid Toews, Andrew Anglemyer, et al. · Cochrane Database of Systematic Reviews · 66

Nonlinear Machine Learning in Warfarin Dose Prediction: Insights from Contemporary Modelling Studies

2022 · Fengying Zhang, Yan Liu, et al. · Journal of Personalized Medicine · 9

Warfarin maintenance dose prediction for Chinese after heart valve replacement by a feedforward neural network with equal stratified sampling

2021 · Weijie Ma, Hongying Li, et al. · Scientific Reports · 16

An Adapted Neural-Fuzzy Inference System Model Using Preprocessed Balance Data to Improve the Predictive Accuracy of Warfarin Maintenance Dosing in Patients After Heart Valve Replacement

2021 · Zhi-Chun Gu, Shou-Rui Huang, et al. · Cardiovascular Drugs and Therapy · 15

Direct Oral Anticoagulants vs. Vitamin-K Antagonists in the Elderly With Atrial Fibrillation: A Systematic Review Comparing Benefits and Harms Between Observational Studies and Randomized Controlled Trials

2020 · Nan-Nan Shen, Yue Wu, et al. · Frontiers in Cardiovascular Medicine · 18

The Prediction Model of Warfarin Individual Maintenance Dose for Patients Undergoing Heart Valve Replacement, Based on the Back Propagation Neural Network

2019 · Qian Li, Jing Wang, et al. · Clinical Drug Investigation · 24