摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者从阿根廷马德普拉塔发回的消息，研究称：“人工智能(AI)先进技术的发展已经扩展了它在各个领域的应用。机器学习(ML)是人工智能的一个子类别，它使计算rs能够识别大量数据集中的模式。”我们的新闻记者从医学院的研究中获得了一句话：“此外，深度学习作为ML的一种特殊形式，在生物过程的启发下，处理输入粗糙的神经网络结构，临床血脂学在过去几年中经历了显著的发展，最近开始与人工智能交叉，因此，深入学习是ML的一种特殊形式。”本文旨在探讨人工智能在临床血脂研究中的应用。本文评价了有关家族性高胆固醇血症的诊断、低密度脂蛋白胆固醇(LDL-C)水平的估计、脂质目标实现的预测、与STATI使用有关的挑战、心脏代谢和饮食因素对载脂蛋白B和LDL-C不一致的影响等方面的各种出版物。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Mar del Plata, Argentina, by NewsRx correspondents, research stated, "The development of advanc ed technologies in artificial intelligence (AI) has expanded its applications ac ross various fields. Machine learning (ML), a subcategory of AI, enables compute rs to recognize patterns within extensive datasets." Our news journalists obtained a quote from the research from the Faculty of Medi cine, "Furthermore, deep learning, a specialized form of ML, processes inputs th rough neural network architectures inspired by biological processes. The field o f clinical lipidology has experienced significant growth over the past few years , and recently, it has begun to intersect with AI. Consequently, the purpose of this narrative review is to examine the applications of AI in clinical lipidolog y. This review evaluates various publications concerning the diagnosis of famili al hypercholesterolemia, estimation of low-density lipoprotein cholesterol (LDL- C) levels, prediction of lipid goal attainment, challenges associated with stati n use, and the influence of cardiometabolic and dietary factors on the discordan ce between apolipoprotein B and LDL-C."
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