Type
Funder
Country
—
Documents
10
through any edge
Papers
0
authorship edges
Awards made
9
7 grant numbers
Named as funder
10
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Fu Jen Catholic University has funded
9 awards under 7 distinct grant numbers, across 4 documents. A further 10 documents name it as a funder without a grant number — a weaker claim, counted separately.
A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniquesgrant A0111181 · 2022-12-09A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniquesgrant A011181 · 2022-12-09A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniquesgrant NSTC 110-2221-E-030-010 · 2022-12-09A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniquesgrant NSTC-110-2221-E-161-003 · 2022-12-09Machine Learning in Predicting Cardiac Events for ESRD Patients: A Framework for Clinical Decision Supportgrant A0113252 · 2025-04-22Machine Learning-Based Prediction of Three-Year Heart Failure and Mortality After Premature Ventricular Contraction Ablationgrant A0113252 · 2025-10-24Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3bgrant A0112181 · 2024-04-17Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3bgrant A0111181 · 2024-04-17Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3bgrant NSTC 111-2221-E-030-009 · 2024-04-17
9 of 19 funding edges