Zoran Obradović
Biographic Data
| ID | 7055233 |
|---|---|
| NAME | Zoran Obradović |
| GIVEN NAMES | Zoran |
| FAMILY NAME | Obradović |
| SIGNATURE | OBRADOVIC Z |
| AFFILIATIONS | Temple University |
| ORCID | 0000-0002-2051-0142 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health
Background: Frailty is a public health concern linked to falls, disability, and mortality. Early screening and tailored interventions can mitigate adverse outcomes, but community settings require tools that are accurate and explainable. Korea is entering a super-aged phase, yet few approaches have used nationally representative survey data. Objective: This study aimed to identify key predictors of frailty risk using the K-FRAIL scale using explai…
Using Machine Learning to Predict Treatment Outcome in a Concatenated Dataset of Youth Anxiety Treatments
Quantum-inspired measures of network distinguishability
Panning for gold: Using variograms to select useful connections in a temporal multigraph setting
No prominent works on this page.
Panning for gold: Using variograms to select useful connections in a temporal multigraph setting
Quantum-inspired measures of network distinguishability
Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health
Background: Frailty is a public health concern linked to falls, disability, and mortality. Early screening and tailored interventions can mitigate adverse outcomes, but community settings require tools that are accurate and explainable. Korea is entering a super-aged phase, yet few approaches have used nationally representative survey data. Objective: This study aimed to identify key predictors of frailty risk using the K-FRAIL scale using explai…
Using Machine Learning to Predict Treatment Outcome in a Concatenated Dataset of Youth Anxiety Treatments
Artificial Intelligence (2 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Data mining (2 works) · Mathematics (2 works) · Theoretical Computer Science (2 works) · Advanced Clustering Algorithms Research (1 works) · Anxiety (1 works) · Calibration (1 works) · Child and Adolescent Psychosocial and Emotional Development (1 works)