摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-调查人员讨论人工智能的新发现。根据NEWSRX编辑来自蒙特克莱尔州立大学的新闻，该研究指出，"与同行发达国家相比，美国的医疗保健系统分配了相当多的资源。"新闻记者从蒙特克莱尔州立大学的研究中获得了一句话：“然而，结果明显落后，特别是在预期寿命方面。这项研究解决了以下问题：医疗支出占国内生产总值(GDP)的百分比的持久趋势，导致这一令人担忧的趋势的显著因素，以及应用紧急刹车来遏制这一加速轨迹的时机。先进机器学习算法，如随机森林和支持向量回归(SVR)，结合传统的统计预测方法，被用来预测未来模式。这项研究强调了医疗分析在解开医疗系统复杂性方面的重要性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Montclair State University by N ewsRx editors, the research stated, “The American healthcare system allocates co nsiderable resources compared to peer-developed nations.” The news correspondents obtained a quote from the research from Montclair State University: “However, outcomes significantly trail behind, particularly in life expectancy. This study addresses questions about the enduring trends in healthca re spending as a percentage of Gross Domestic Product (GDP), notable factors con tributing to this concerning trend, and the timing to apply an emergency brake t o curb this accelerating trajectory. Advanced machine learning algorithms, such as Random Forest and Support Vector Regression (SVR), in conjunction with tradit ional statistical forecasting methods, are used to forecast future patterns. The research underscores the importance of healthcare analytics in unraveling the i ntricacies of the healthcare system.”
NETL
NSTL