Mikko P Tulppo
Biographic Data
| ID | 8260312 |
|---|---|
| NAME | Mikko P Tulppo |
| GIVEN NAMES | Mikko P |
| FAMILY NAME | Tulppo |
| SIGNATURE | TULPPO M P |
| AFFILIATIONS | Oulu University Hospital |
| ORCID | 0000-0001-5598-9109 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Machine learning models for assessing risk factors affecting health care costs
Introduction Exercise-based cardiac rehabilitation (ECR) has proven to be effective and cost-effective dominant treatment option in health care. However, the contribution of well-known risk factors for prognosis of coronary artery disease (CAD) to predict health care costs is not well recognized. Since machine learning (ML) applications are rapidly giving new opportunities to assist health care professionals’ work, we used selected ML tools to as…
Preterm-Born Young Women Have Weaker Hand Grip Strength Compared to Their Full-Term-Born Peers
Prematurity has been linked to lower muscular fitness and increased morbidity across the human lifespan. Hand grip strength is widely used as a measure of muscle strength. Previous studies have shown inconsistent results regarding the role of vitamin D in hand grip strength. Here, we investigated hand grip strength and the effects of a yearlong vitamin D supplementation in healthy preterm-born young adults. We recruited 38 young adults born prete…
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Preterm-Born Young Women Have Weaker Hand Grip Strength Compared to Their Full-Term-Born Peers
Prematurity has been linked to lower muscular fitness and increased morbidity across the human lifespan. Hand grip strength is widely used as a measure of muscle strength. Previous studies have shown inconsistent results regarding the role of vitamin D in hand grip strength. Here, we investigated hand grip strength and the effects of a yearlong vitamin D supplementation in healthy preterm-born young adults. We recruited 38 young adults born prete…
Machine learning models for assessing risk factors affecting health care costs
Introduction Exercise-based cardiac rehabilitation (ECR) has proven to be effective and cost-effective dominant treatment option in health care. However, the contribution of well-known risk factors for prognosis of coronary artery disease (CAD) to predict health care costs is not well recognized. Since machine learning (ML) applications are rapidly giving new opportunities to assist health care professionals’ work, we used selected ML tools to as…
Internal Medicine (2 works) · Medicine (2 works) · Physical therapy (2 works) · Acute coronary syndrome (1 work) · Anthropometry (1 work) · Biology (1 work) · Birth, Development, and Health (1 work) · Cardiac Health and Mental Health (1 work) · Cardiovascular and exercise physiology (1 work) · Child Nutrition and Feeding Issues (1 work)