| Accession |
PRJCA017322 |
| Title |
"tens of millions" based on real-world data and undesigned big data method of Chinese population's individual physical examination health information database |
| Relevance |
Medical |
| Data types |
Phenotype or Genotype
clinical data
|
| Organisms |
Homo sapiens
|
| Description |
This project aims at the process integration and mining of "tens of millions" individual physical examination big data of the Chinese population, and builds an individual physical examination health information cloud platform based on real-world data, using artificial intelligence and machine learning as means, combined with epidemiological research design and statistical methods in medicine, exploring potential relationships between exposures and outcomes, completing the transition from "real-world data" to "real-world evidence". |
| Sample scope |
Multiisolate |
| Release date |
2023-06-12 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Chinese Academy of Sciences (CAS)
|
Strategic Priority Research Program of Chinese Academy of Sciences (CAS)
|
XDB38010100
|
Multi-dimensional big data-driven precision health research of Chinese population-"tens of millions" based on real-world data and undesigned big data method of Chinese population
|
|
|
| Submitter |
MINZHE
ZHAO (zmz229663@163.com)
|
| Organization |
The First Affiliated Hospital of University of Science and Technology of China |
| Submission date |
2023-05-19 |
