医疗决策(Medical Decision-Making, MDM)是一个多维复杂的过程,临床医生需要通过协作来综合分析多种信息来源,从而得出精准的诊断和治疗方案。例如,当遇到复杂病例时,全科医生可能会将患者转诊给专科医生;在急诊或紧急护理中,患者会被根据病情的严重性和复杂性进行分诊。MDM需要医生结合患者的当前和既往病史、医学文献中...
Medical Decision Making创刊于1981年,由SAGE Publications Inc.出版商出版,收稿方向涵盖医学 - 卫生保健全领域,此刊是中等级别的SCI期刊,所以过审相对来讲不是特别难,但是该刊专业认可度不错,仍然是一本值得选择的SCI期刊 。平均审稿速度 较慢,6-12周 ,影响因子指数3.1,该期刊近期没有被列入国际期刊预警名单,广大...
Medical Decision Making杂志是一本医学-卫生保健应用杂志。是一本国际优秀学术杂志,由SAGE Publications Inc.出版,该期刊创刊于1981年,出版周期为Bimonthly,始终保持着高质量和高水平的学术内容。在中科院分区表2023年12月升级版中,被归类为大类学科分区3区,显示出其优秀的学术水平和影响力。ISSN...
MEDICAL DECISION MAKING《医疗决策》 (官网投稿) 简介 期刊简称MED DECIS MAKING 参考译名《医疗决策》 核心类别 高质量科技期刊(T2), SSCI(2024版), SCIE(2024版), 目次收录(维普),外文期刊, IF影响因子 自引率 主要研究方向Public health, environment and occupational health MEDICAL DECISION MAKING《医疗...
Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines. 《医疗决策》提供严谨而系统的决策方法,旨在改善个人...
Research Open access Published: 28 June 2024 Medical-informed machine learning: integrating prior knowledge into medical decision systemsChristel Sirocchi, Alessandro Bogliolo & Sara Montagna BMC Medical Informatics and Decision Making volume 24, Article number: 186 (2024) Cite this article ...
Submit manuscript Latest collections open to submissions NEW:Navigating uncertainty in medical decision-making Guest Edited by Peter Musaeus Dental education Guest Edited by Jae-Gi Lee and Romesh P. Nalliah Educational psychology Guest Edited by Chan Choong Foong, Jungjoon Ihm, and Galvin Sim Siang ...
and medical images. Artificial Intelligence and machine learning techniques have been widely used to unlock the hidden value from the sophisticated data and transform them into sensible decision-making and actions to support better healthcare. There are many successful healthcare applications leveraging th...
While ML models excel at learning complex patterns from data, traditional medical decision-making systems primarily rely on rule-based models grounded in expert knowledge. Merging these two approaches can be highly effective, leveraging the adaptability of ML models with the structured reasoning of rule...
Official implementation for NeurIPS'24 paper: MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making - mitmedialab/MDAgents