Explore the network

Research, people, journals and institutions — all in one place.

Explore

01Research 02Smart search 03Researchers 04Journals 05Institutions 06RHR Rankings 07ResearchHub platform 08Events

Work together

Turn ideas into projects, questions and reusable datasets.

Connect

01Projects 02Questions 03Datasets

Stay informed

Follow trends, opportunities and your research library.

Insights

01Research trends 02Opportunities 03Library 04Research services 05ResearchHub Pro 06Pricing

ResearchHub

Explore ResearchHub.

Personal

Home Search Network Library Log in

ResearchHubLoading navigation…

Loading ResearchHub…

ResearchHub

Research, connected

Explore the network

Research, people, journals and institutions — all in one place.

Explore

01Research 02Smart search 03Researchers 04Journals 05Institutions 06RHR Rankings 07ResearchHub platform 08Events

Work together

Turn ideas into projects, questions and reusable datasets.

Connect

01Projects 02Questions 03Datasets

Stay informed

Follow trends, opportunities and your research library.

Insights

01Research trends 02Opportunities 03Library 04Research services 05ResearchHub Pro 06Pricing

ResearchHub

Explore ResearchHub.

Personal

Home Search Network Library Log in

ResearchHub

Research, connected

TikTok

Download ResearchHub

GET IT ONGoogle PlayComing soonDownload on theApp StoreComing soonEXPLORE IT ONAppGalleryComing soon

Research

Research Researchers Journals Institutions RHR Rankings

Contribute

Projects Questions Datasets Opportunities

Platform

ResearchHub platform About Blog Community Help API Licensing

Shopping

PDFHuB HubStor

Contact and support

Need help, have a question, or want to contact the ResearchHub team?

Contact and support support@aresearch.uk

Help Article feed Privacy Terms Cookies This work is licensed under Creative Commons Attribution 4.0 InternationalCC BY 4.0

Privacy-aware community infrastructure

Privacy & Cookies

We use cookies and similar technologies

ResearchHub uses necessary technologies for security, authentication and core functionality. Advertising choices, where available, are collected separately through Google's consent message.

See our Privacy Notice and Cookie Policy.

Research graph

References

References from Abstract No: 518 Machine Learning–Based Short-Term Prognostic Models for IgA Nephropathy: A Multicenter Development and Validation Study. Local targets link to admitted publications; unresolved targets remain external evidence.

No reference evidence is available for this admitted work.

References for Abstract No: 518 Machine Learning–Based Short-Term Prognostic Models for IgA Nephropathy: A Multicenter Development and Validation Study | ResearchHub - ResearchHub