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Suebsarn Ruksakulpiwat

Showing results (41-50 of 46) with videos related to

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Patient Preference and Adherence|September 5, 2023
Utilizing Social Determinants of Health Model to Understand Barriers to Medication Adherence in Patients with Ischemic Stroke: A Systematic ReviewSuebsarn Ruksakulpiwat, Chitchanok Benjasirisan, Kedong Ding, et al.
The Journal of Cardiovascular Nursing|September 27, 2024
Understanding the Relationship Between Comorbidities, Medication Nonadherence, Activities of Daily Living, and Heart Condition Status Among Older Adults in the United States: A Regression Analysis and Machine Learning ApproachSuebsarn Ruksakulpiwat, Witchuda Thongking, Naveen Kannan, et al.
International Nursing Review|July 27, 2025
Artificial Intelligence in Nursing Research: A Systematic Review of Applications, Benefits, and ChallengesSuebsarn Ruksakulpiwat, Lalipat Phianhasin, Chitchanok Benjasirisan, et al.
Eneuro|November 11, 2024
A Systematic Review and Meta-Analysis Assessing the Accuracy of Blood Biomarkers for the Diagnosis of Ischemic Stroke in Adult and Elderly PopulationsSuebsarn Ruksakulpiwat, Wendie Zhou, Lalipat Phianhasin, et al.
BMC Neurology|June 6, 2022
Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell countsGrant C O'Connell, Kyle B Walsh, Christine G Smothers, et al.
Frontiers in Psychology|March 27, 2026
The influence of fear of hypoglycemia and frailty on self-efficacy in diabetes management among older adults with type 2 diabetes: a cross-sectional studyShaimaa Mohamed Amin, Haitham Mokhtar Mohamed Abdallah, Mohamed Ali Zoromba, et al.
Pageof 5

Showing results (41-50 of 46) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 46 results.
Patient Preference and Adherence|September 5, 2023
Utilizing Social Determinants of Health Model to Understand Barriers to Medication Adherence in Patients with Ischemic Stroke: A Systematic ReviewSuebsarn Ruksakulpiwat, Chitchanok Benjasirisan, Kedong Ding, et al.
The Journal of Cardiovascular Nursing|September 27, 2024
Understanding the Relationship Between Comorbidities, Medication Nonadherence, Activities of Daily Living, and Heart Condition Status Among Older Adults in the United States: A Regression Analysis and Machine Learning ApproachSuebsarn Ruksakulpiwat, Witchuda Thongking, Naveen Kannan, et al.
International Nursing Review|July 27, 2025
Artificial Intelligence in Nursing Research: A Systematic Review of Applications, Benefits, and ChallengesSuebsarn Ruksakulpiwat, Lalipat Phianhasin, Chitchanok Benjasirisan, et al.
Eneuro|November 11, 2024
A Systematic Review and Meta-Analysis Assessing the Accuracy of Blood Biomarkers for the Diagnosis of Ischemic Stroke in Adult and Elderly PopulationsSuebsarn Ruksakulpiwat, Wendie Zhou, Lalipat Phianhasin, et al.
BMC Neurology|June 6, 2022
Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell countsGrant C O'Connell, Kyle B Walsh, Christine G Smothers, et al.
Frontiers in Psychology|March 27, 2026
The influence of fear of hypoglycemia and frailty on self-efficacy in diabetes management among older adults with type 2 diabetes: a cross-sectional studyShaimaa Mohamed Amin, Haitham Mokhtar Mohamed Abdallah, Mohamed Ali Zoromba, et al.
Pageof 5