C Zuniga
Biographic Data
| ID | 7861929 |
|---|---|
| NAME | C Zuniga |
| GIVEN NAMES | C |
| FAMILY NAME | Zuniga |
| SIGNATURE | ZÚÑIGA C |
| AFFILIATIONS | Universidad de Tijuana |
| ORCID | 0000-0002-0766-6644 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Combining community-based system dynamics and design thinking to inform public health intervention
The underlying drivers and outcomes of social determinants of health are dynamically complex, making it difficult to design effective responses. This complexity has inspired a growing number of calls to move beyond mechanistic thinking and use systems science to engage directly with complexity and highlight opportunities for methodological innovation to enhance translation of insight into real world action. This case study describes a methodologi…
Assessment of Thoracic Pain Using Machine Learning
Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders, and the most deadly: Cardiovascular diseases. Due to the limited space in the emergency department, it is important to identify when thoracic pain is of cardiac origin, since being a symptom of CVD (Cardiovascular Disease), the attention to the patient must be immediate to prevent irreversible injuries or even death. Artificial intelligence contri…
La vejez y la nueva CIE-11
Desde 1948, la Organización Mundial de la Salud ha venido publicando un sistema codificado de causas de enfermedad y muerte bajo el nombre genérico de Clasificación Estadística Internacional de Enfermedades (CIE), con revisiones en profundidad cada 10-15 años. En su última versión, CIE-11, se utiliza una terminología para caracterizar la vejez como “períodos geriátricos inicial y final”, lo que implica una medicalización de esta etapa de la vida …
Evaluation of Prevalence of the Sarcopenia Level Using Machine Learning Techniques
The article presents a study based on timeline data analysis of the level of sarcopenia in older patients in Baja California, Mexico. Information was examined at the beginning of the study (first event), three months later (second event), and six months later (third event). Sarcopenia is defined as the loss of muscle mass quality and strength. The study was conducted with 166 patients. A total of 65% were women and 35% were men. The mean age of t…
Automatic Classification of Sarcopenia Level in Older Adults
This paper presents a study based on data analysis of the sarcopenia level in older adults. Sarcopenia is a prevalent pathology in adults of around 50 years of age, whereby the muscle mass decreases by 1 to 2% a year, and muscle strength experiences an annual decrease of 1.5% between 50 and 60 years of age, subsequently increasing by 3% each year. The World Health Organisation estimates that 5-13% of individuals of between 60 and 70 years of age …
Propuesta de contenidos mínimos para los programas docentes de pregrado en Medicina Geriátrica en América Latina
No prominent works on this page.
Propuesta de contenidos mínimos para los programas docentes de pregrado en Medicina Geriátrica en América Latina
Automatic Classification of Sarcopenia Level in Older Adults
This paper presents a study based on data analysis of the sarcopenia level in older adults. Sarcopenia is a prevalent pathology in adults of around 50 years of age, whereby the muscle mass decreases by 1 to 2% a year, and muscle strength experiences an annual decrease of 1.5% between 50 and 60 years of age, subsequently increasing by 3% each year. The World Health Organisation estimates that 5-13% of individuals of between 60 and 70 years of age …
Evaluation of Prevalence of the Sarcopenia Level Using Machine Learning Techniques
The article presents a study based on timeline data analysis of the level of sarcopenia in older patients in Baja California, Mexico. Information was examined at the beginning of the study (first event), three months later (second event), and six months later (third event). Sarcopenia is defined as the loss of muscle mass quality and strength. The study was conducted with 166 patients. A total of 65% were women and 35% were men. The mean age of t…
Assessment of Thoracic Pain Using Machine Learning
Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders, and the most deadly: Cardiovascular diseases. Due to the limited space in the emergency department, it is important to identify when thoracic pain is of cardiac origin, since being a symptom of CVD (Cardiovascular Disease), the attention to the patient must be immediate to prevent irreversible injuries or even death. Artificial intelligence contri…
La vejez y la nueva CIE-11
Desde 1948, la Organización Mundial de la Salud ha venido publicando un sistema codificado de causas de enfermedad y muerte bajo el nombre genérico de Clasificación Estadística Internacional de Enfermedades (CIE), con revisiones en profundidad cada 10-15 años. En su última versión, CIE-11, se utiliza una terminología para caracterizar la vejez como “períodos geriátricos inicial y final”, lo que implica una medicalización de esta etapa de la vida …
Combining community-based system dynamics and design thinking to inform public health intervention
The underlying drivers and outcomes of social determinants of health are dynamically complex, making it difficult to design effective responses. This complexity has inspired a growing number of calls to move beyond mechanistic thinking and use systems science to engage directly with complexity and highlight opportunities for methodological innovation to enhance translation of insight into real world action. This case study describes a methodologi…
Medicine (3 works) · Body Composition Measurement Techniques (2 works) · Gerontology (2 works) · Humanities (2 works) · Internal Medicine (2 works) · Nutrition and Health in Aging (2 works) · Psychology (2 works) · Sarcopenia (2 works) · Aging and Gerontology Research (1 work) · Aging, Health, and Disability (1 work)