Cristián Castillo-Olea
Biographic Data
| ID | 7861928 |
|---|---|
| NAME | Cristián Castillo-Olea |
| GIVEN NAMES | Cristián |
| FAMILY NAME | Castillo-Olea |
| SIGNATURE | CASTILLO-OLEA C |
| AFFILIATIONS | Universidad de Deusto |
| ORCID | 0000-0002-8717-7524 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
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…
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 …
No prominent works on this page.
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…
Medicine (3 works) · Body Composition Measurement Techniques (2 works) · Gerontology (2 works) · Internal Medicine (2 works) · Nutrition and Health in Aging (2 works) · Sarcopenia (2 works) · Cardiac Health and Mental Health (1 work) · Chest pain (1 work) · Chronic Obstructive Pulmonary Disease (COPD) Research (1 work) · Disease (1 work)