Abstract

Diabetes type 2 remains a pressing worldwide health subject, highlighting the need for advanced early detection methods. In this study, we performed a comprehensive analysis of current literature presented at conferences and journals, focusing on the effectiveness of machine learning techniques for the early detection of diabetes type 2. Our review included thorough examination of various papers, examining the methodologies, and assessing the accuracy of these methods. We diagnosed developments and patterns within the application of machine-learning algorithms for diabetes detection. Our study synthesizes these findings and proposes a complete framework utilizing present-day system-getting-to-know algorithms. Via rigorous comparative evaluation, we encouraged precise algorithms with demonstrated efficacy. We also delved into the combination of novel technologies, enhancing the accuracy and reliability of diabetes prediction methods. The proposed framework no longer only showcases promising accuracy quotes but also addresses the realistic elements of implementation, ensuring actual global effectiveness. Additionally, we explored the socio-financial effect of early diabetes detection and underscored the significance of timely interventions in reducing healthcare expenses and enhancing affected person outcomes. This review serves as a treasured resource for researchers, practitioners, and policymakers, offering insights into the ultra-modern advancements in device learning applications for diabetes type 2 early detection. By amalgamating cutting-edge technology with insightful analysis, our studies contribute to the continued efforts to combat diabetes and improve public fitness on a global scale.

中文翻译：

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使用机器学习预测 2 型糖尿病 (T2D) 的综合调查

摘要

2 型糖尿病仍然是全球紧迫的健康问题，凸显了对先进早期检测方法的需求。在这项研究中，我们对会议和期刊上发表的当前文献进行了全面分析，重点关注机器学习技术在早期检测 2 型糖尿病方面的有效性。我们的审查包括彻底检查各种论文、检查方法并评估这些方法的准确性。我们诊断了机器学习算法在糖尿病检测中的应用进展和模式。我们的研究综合了这些发现，并利用当今的系统了解算法提出了一个完整的框架。通过严格的比较评估，我们鼓励具有已证明功效的精确算法。我们还深入研究了新技术的结合，提高了糖尿病预测方法的准确性和可靠性。拟议的框架不再仅仅展示有希望的准确性报价，而且还解决了实施的现实要素，确保实际的全球有效性。此外，我们还探讨了早期糖尿病检测的社会财务影响，并强调了及时干预对于减少医疗费用和改善受影响人群预后的重要性。这篇综述是研究人员、从业者和政策制定者的宝贵资源，提供了有关 2 型糖尿病早期检测设备学习应用的超现代进展的见解。通过将尖端技术与富有洞察力的分析相结合，我们的研究有助于在全球范围内持续努力对抗糖尿病和改善公众健康。