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所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/clinical-data-science
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课程名称：临床数据科学专业 概述：您是否对如何利用医生、护士和医疗系统生成的数据来改善未来患者的护理感兴趣？如果是，您可能有潜力成为未来的临床数据科学家！这一专业为学习者提供了使用电子病历和信息学工具进行临床数据科学的实践经验。 该系列包含六门课程，旨在增强学习者在统计和编程方面的技能，通过具体挑战、工具和临床数据的适当解释示例来进行学习。完成此专业后，您将能够： 1）理解电子病历的数据类型和结构； 2）在临床数据上部署基本的信息学方法； 3）提供应用分析的适当临床和科学解释； 4）预测在复杂临床环境中使用信息学工具时的障碍。 您将通过完成实际应用项目，使用真实的临床数据来展示您对这些技能的掌握。该专业与Google Cloud的合作支持学习，使所有学习者可以免费访问完全托管的在线数据科学计算环境。请注意，必须使用Google帐户（如Gmail）才能访问相关数据及计算环境。 课程大纲： 1. 《临床数据科学导论》：为您准备完成临床数据科学专业的所有部分。 2. 《临床数据模型与数据质量评估》：教授临床数据模型及常见数据模型的概念。 3. 《识别患者人群》：介绍计算表型的基础知识。 4. 《临床自然语言处理》：教授临床自然语言处理（NLP）的基础知识。 5. 《预测建模与转变临床实践》：学习利用预测建模进行临床实践转变的基础。 6. 《高级临床数据科学》：讲解高级临床数据科学主题和技术。 通过这些课程，您将能够掌握临床数据科学的核心技能，以提升未来医疗护理的质量和效率。
Course Link: https://www.coursera.org/learn/introduction-clinical-data-science
Name:Introduction to Clinical Data Science
Description:Offered by University of Colorado System. This course will prepare you to complete all parts of the Clinical Data Science Specialization. In ... Enroll for free.
Course Link: https://www.coursera.org/learn/clinical-data-models-and-data-quality-assessments
Name:Clinical Data Models and Data Quality Assessments
Description:Offered by University of Colorado System. This course aims to teach the concepts of clinical data models and common data models. Upon ... Enroll for free.
Course Link: https://www.coursera.org/learn/computational-phenotyping
Name:Identifying Patient Populations
Description:Offered by University of Colorado System. This course teaches you the fundamentals of computational phenotyping, a biomedical informatics ... Enroll for free.
Course Link: https://www.coursera.org/learn/clinical-natural-language-processing
Name:Clinical Natural Language Processing
Description:Offered by University of Colorado System. This course teaches you the fundamentals of clinical natural language processing (NLP). In this ... Enroll for free.
Course Link: https://www.coursera.org/learn/clinical-predictive-modeling
Name:Predictive Modeling and Transforming Clinical Practice
Description:Offered by University of Colorado System. This course teaches you the fundamentals of transforming clinical practice using predictive ... Enroll for free.
Course Link: https://www.coursera.org/learn/advanced-clinical-data-science
Name:Advanced Clinical Data Science
Description:Offered by University of Colorado System. This course prepares you to deal with advanced clinical data science topics and techniques ... Enroll for free.
Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist! This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data. By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data. This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free! Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment.
临床数据科学专业：您是否对如何使用医生，护士和医疗保健系统生成的数据来改善未来患者的护理感兴趣？如果是这样，您可能是未来的临床数据科学家！ 该专业为学习者提供了使用电子病历和信息学工具进行临床数据科学的实践经验。该系列课程共六期，旨在增强学习者在统计和程序设计方面的现有技能，以提供特定挑战，工具和对临床数据的适当解释的示例。 通过完成此专业知识，您将知道如何：1）了解电子病历的数据类型和结构，2）在临床数据上部署基本的信息学方法，3）提供对应用分析的适当临床和科学解释，以及4）预测实施过程中的障碍信息学工具可用于复杂的临床环境。您将通过使用实际临床数据完成实际的应用项目来证明您对这些技能的掌握。 我们与Google Cloud的行业合作关系为这一专业化提供了支持。有了这项支持，所有学习者都可以免费使用完全托管的在线数据科学计算环境！请注意，您必须有权访问Google帐户（即gmail帐户）才能访问临床数据和计算环境。
