Young Tak Jo
Biographic Data
| ID | 7521689 |
|---|---|
| NAME | Young Tak Jo |
| GIVEN NAMES | Young Tak |
| FAMILY NAME | Jo |
| SIGNATURE | JO Y T |
| AFFILIATIONS | Sacred Heart Hospital |
| ORCID | 0000-0002-0561-2503 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Personalizing ecological momentary intervention for substance use disorders through data-driven decision rules
Substance use disorders (SUDs) are highly prevalent and lethal, yet treatment reach remains below 20%. As risk of substance use and relapse is episodic and context-dependent, ecological momentary interventions (EMIs) that deliver real-time intervention in daily life are promising, but findings to date remain mixed. We argue this variability reflects the importance of decision rules, when to deliver which intervention. However, current EMI systems…
Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms
Our findings indicate the potential of PPG-derived HRV metrics in monitoring mental health, thereby providing a foundation for further research. Notably, parasympathetically biased HRV metrics showed weaker correlations with depression and anxiety scores. Future studies should validate these findings in clinically diagnosed patients
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Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms
Our findings indicate the potential of PPG-derived HRV metrics in monitoring mental health, thereby providing a foundation for further research. Notably, parasympathetically biased HRV metrics showed weaker correlations with depression and anxiety scores. Future studies should validate these findings in clinically diagnosed patients
Personalizing ecological momentary intervention for substance use disorders through data-driven decision rules
Substance use disorders (SUDs) are highly prevalent and lethal, yet treatment reach remains below 20%. As risk of substance use and relapse is episodic and context-dependent, ecological momentary interventions (EMIs) that deliver real-time intervention in daily life are promising, but findings to date remain mixed. We argue this variability reflects the importance of decision rules, when to deliver which intervention. However, current EMI systems…
Mental Health Research Topics (2 works) · Wearable computer (2 works) · Anxiety (1 work) · Blood pressure (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work) · Decision rule (1 work) · Decision support system (1 work) · Depression (economics (1 work)