⚡ Quick Summary
The study introduces PAHFKB, a novel knowledge base designed to provide personalized exercise prescription recommendations for individuals with heart failure (HF). By analyzing data from 357 studies involving over 900,000 subjects, PAHFKB aims to enhance clinical practice and digital therapy in HF management.
🔍 Key Details
- 📊 Dataset: 3186 citations on physical activity and heart failure
- 🧩 Features used: 1010 PAHF items including exercise protocols and outcomes
- ⚙️ Technology: Developed using MySQL and ASP.NET
- 🏆 Performance: Incorporates data from 357 studies published between 1989 and 2021
🔑 Key Takeaways
- 📊 PAHFKB is a comprehensive online system for personalized exercise prescriptions in heart failure management.
- 💡 It integrates diverse evidence and knowledge-based tools to support clinical decision-making.
- 👩🔬 The most common exercise regimen identified was three 60-minute sessions of moderate-intensity aerobic exercise weekly.
- 🏆 Over 900,000 subjects from 43 countries were involved in the studies analyzed.
- 🌍 PAHFKB aims to establish data standards and advance interpretable artificial intelligence in digital health.
- 🆔 Access PAHFKB at pahfkb.sysbio.org.cn for personalized exercise recommendations.
📚 Background
Heart failure (HF) is a complex condition that requires tailored management strategies. Traditional exercise recommendations often fail to consider individual differences, leading to challenges in providing effective training. The development of PAHFKB addresses this gap by leveraging existing literature and data to create a personalized approach to exercise prescription.
🗒️ Study
The study involved a comprehensive review of literature, gathering 3186 citations related to physical activity and heart failure. The researchers defined data standards using an entity-relationship model and subsequently developed PAHFKB, integrating extensive evidence and visualization tools to facilitate personalized exercise prescriptions.
📈 Results
PAHFKB successfully incorporated 357 studies and extracted 1010 PAHF items, including various exercise training protocols and associated outcomes. The most frequently recommended exercise regimen was three sessions of 60-minute moderate-intensity aerobic exercise per week, highlighting the importance of structured physical activity in HF management.
🌍 Impact and Implications
The introduction of PAHFKB represents a significant advancement in the management of heart failure. By providing personalized exercise prescriptions, this knowledge base can enhance clinical practice and improve patient outcomes. The integration of digital health tools and artificial intelligence will likely lead to more effective interventions and better quality of life for individuals with heart failure.
🔮 Conclusion
PAHFKB is a groundbreaking tool that promises to transform the landscape of exercise prescription in heart failure management. By focusing on personalized approaches and utilizing extensive data, it aims to improve clinical decision-making and patient care. The future of heart failure management looks promising with the integration of such innovative technologies.
💬 Your comments
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PAHFKB: A knowledge base to support personalized exercise prescription recommendations in prevention and intervention of heart failure.
Abstract
BACKGROUND AND AIMS: Guidelines for exercise recommendations are typically designed for the population as a whole and do not account for individual differences, making it challenging to provide personalized exercise training for individuals with complex conditions. To address this issue, this study aimed to develop PAHFKB (Physical Activity-Heart Failure Knowledge Base), a knowledge-based system for personalized exercise prescription (EP) for heart failure (HF), by mining, analyzing, and organizing existing literature and data on the relationship between physical activity (PA) and HF.
METHODS: Firstly, 3186 citations on PAHF were gathered from PubMed. Then, the data standards for personalized PAHF were defined with the entity-relationship model. Following data collection in accordance with these standards, PAHFKB was developed using MySQL and ASP.NET, integrating elaborate and diverse PAHF evidence, knowledge-based EP and visualization tools.
RESULTS: PAHFKB (pahfkb.sysbio.org.cn) incorporated 357 studies published between 1989 and 2021, involving over 900,000 subjects from 43 countries. And 1010 PAHF items were extracted, encompassing 357 exercise training protocols, 333 outcomes, and 42 risk factors for HF prevention and intervention. Among all protocols, the most frequently employed regimen consisted of three 60-minute sessions of moderate-intensity aerobic exercise training on a weekly basis.
CONCLUSION: PAHFKB is an online system designed to support personalized EP in HF management. It incorporates diverse tools and visualization and will promote personalized decision support, establish data standards, and advance interpretable artificial intelligence in digital health. Ultimately, it will enhance clinical practice and digital therapy in the prevention and intervention of HF.
Author: [‘Zhang K’, ‘Ren S’, ‘Bao T’, ‘Wu R’, ‘Wu E’, ‘Liu X’, ‘Zhan C’, ‘Wei J’, ‘Shen L’, ‘Li D’, ‘Shen B’]
Journal: Digit Health
Citation: Zhang K, et al. PAHFKB: A knowledge base to support personalized exercise prescription recommendations in prevention and intervention of heart failure. PAHFKB: A knowledge base to support personalized exercise prescription recommendations in prevention and intervention of heart failure. 2024; 10:20552076241299083. doi: 10.1177/20552076241299083