Keke Ren
Biographic Data
| ID | 7303648 |
|---|---|
| NAME | Keke Ren |
| GIVEN NAMES | Keke |
| FAMILY NAME | Ren |
| SIGNATURE | REN K |
| AFFILIATIONS | The Affiliated Yongchuan Hospital of Chongqing Medical University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An artificial intelligence application framework for nursing education
BACKGROUND: Artificial intelligence (AI) is reshaping education, but existing AI application frameworks cannot be effectively applied to nursing education, which is defined by its focus on practical skills and clinical judgment. AIMS: This study aims to address this gap by synthesizing literature on current educational AI application frameworks to propose a dedicated AI application framework for nursing education, grounded in the core nursing com…
Puerariae Lobatae Radix-Gastrodiae Rhizoma ameliorates nitroglycerin-induced chronic migraine by modulating p38 Mapk/CREB signaling pathway in the prefrontal cortex-thalamus neural circuit
A w-ACT model for sarcopenia among community-dwelling older adults based on National Basic Public Health Services
Background: Sarcopenia leads to substantial health and well-being impairments in older adults, underscoring the need for early detection to facilitate intervention. Despite its importance, community settings face challenges with data accessibility, model interpretability, and predictive accuracy. Objective: To develop a local, data-driven, machine learning-based predictive model aimed at identifying high-risk sarcopenia populations among communit…
No prominent works on this page.
A w-ACT model for sarcopenia among community-dwelling older adults based on National Basic Public Health Services
Background: Sarcopenia leads to substantial health and well-being impairments in older adults, underscoring the need for early detection to facilitate intervention. Despite its importance, community settings face challenges with data accessibility, model interpretability, and predictive accuracy. Objective: To develop a local, data-driven, machine learning-based predictive model aimed at identifying high-risk sarcopenia populations among communit…
An artificial intelligence application framework for nursing education
BACKGROUND: Artificial intelligence (AI) is reshaping education, but existing AI application frameworks cannot be effectively applied to nursing education, which is defined by its focus on practical skills and clinical judgment. AIMS: This study aims to address this gap by synthesizing literature on current educational AI application frameworks to propose a dedicated AI application framework for nursing education, grounded in the core nursing com…
Puerariae Lobatae Radix-Gastrodiae Rhizoma ameliorates nitroglycerin-induced chronic migraine by modulating p38 Mapk/CREB signaling pathway in the prefrontal cortex-thalamus neural circuit
AI in Service Interactions (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Biological and pharmacological studies of plants (1 work) · Biological neural network (1 work) · Body Composition Measurement Techniques (1 work) · Curriculum (1 work) · Focus group (1 work) · Frailty in Older Adults (1 work) · Gerontology (1 work) · Mechanism (biology (1 work)