Coursera 笔记

Module 01 · From Problem to Approach and From Requirements to Collection

Glossary: From Requirements to Collection术语表:从需求到收集

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Welcome! This alphabetized glossary contains many of the terms you'll find within this lesson. These terms are important for you to recognize when working in the industry, when participating in user groups, and when participating in other certificate programs.
欢迎!这个按字母顺序排列的术语表包含了本课程中许多你将遇到的术语。这些术语对于你在行业内工作、参与用户组以及参与其他证书项目时识别它们非常重要。

Term  术语 Definition  定义
Analytics team  分析团队 A group of professionals, including data scientists and analysts, responsible for performing data analysis and modeling.
由数据科学家和分析师等专业人员组成,负责进行数据分析和建模的团队。
Data collection  数据收集 The process of gathering data from various sources, including demographic, clinical, coverage, and pharmaceutical information.
从各种来源收集数据的过程,包括人口统计、临床、覆盖范围和药品信息。
Data integration  数据集成 The merging of data from multiple sources to remove redundancy and prepare it for further analysis.
将来自多个来源的数据进行合并,以消除冗余并准备进行进一步分析。
Data Preparation  数据准备 The process of organizing and formatting data to meet the requirements of the modeling technique.
组织数据并对其进行格式化,以满足建模技术的要求。
Data Requirements  数据需求 The identification and definition of the necessary data elements, formats, and sources required for analysis.
对分析所需的数据元素、格式和来源进行识别和定义。
Data Understanding  数据理解 A stage where data scientists discuss various ways to manage data effectively, including automating certain processes in the database.
数据科学家讨论有效管理数据的方法的阶段,包括在数据库中自动化某些流程。
DBAs (Database Administrators)
数据库管理员(DBAs)
The professionals who are responsible for managing and extracting data from databases.
负责管理和提取数据库数据的专业人员。
Decision tree classification
决策树分类
A modeling technique that uses a tree-like structure to classify data based on specific conditions and variables.
一种使用树状结构根据特定条件和变量对数据进行分类的建模技术。
Demographic information  人口统计信息 Information about patient characteristics, such as age, gender, and location.
患者特征信息,如年龄、性别和地点。
Descriptive statistics  描述性统计 Techniques used to analyze and summarize data, providing initial insights and identifying gaps in data.
用于分析和总结数据的技术,提供初步见解并识别数据中的空白。
Intermediate results  中间结果 Partial results obtained from predictive modeling can influence decisions on acquiring additional data.
预测建模的部分结果可能会影响获取额外数据的决策。
Patient cohort  患者队列 A group of patients with specific criteria selected for analysis in a study or model.
在研究或模型中根据特定标准选定的患者群体。
Predictive modeling  预测建模 The building of models to predict future outcomes based on historical data.
基于历史数据预测未来结果的模型构建。
Training set  训练集 A subset of data used to train or fit a machine learning model; consists of input data and corresponding known or labeled output values.
用于训练或拟合机器学习模型的数据子集;包含输入数据和相应的已知或标记输出值。
Unavailable data  不可用数据 Data elements are not currently accessible or integrated into the data sources.
数据元素目前无法访问或集成到数据源中。
Univariate  单变量 Modeling analysis focused on a single variable or feature at a time, considering its characteristics and relationship to other variables independently.
建模分析每次专注于一个变量或特征,独立考虑其特征以及与其他变量的关系。
Unstructured data  非结构化数据 Data that does not have a predefined structure or format, typically text images, audio, or video, requires special techniques to extract meaning or insights.
没有预定义结构或格式的数据,通常是文本、图像、音频或视频,需要特殊技术来提取意义或见解。
Visualization  可视化 The process of representing data visually to gain insights into its content and quality.
将数据以视觉形式呈现,以洞察其内容和质量的过程。