V3_L1: Data Collection

Question 1

Analytics team

Answer 1

A group of professionals, including data scientists and analysts, responsible for performing data analysis and modeling.

Question 2

Data collection

Answer 2

The process of gathering data from various sources, including demographic, clinical, coverage, and pharmaceutical information.

Question 3

Data integration

Answer 3

The merging of data from multiple sources to remove redundancy and prepare it for further analysis.

Question 4

Data Preparation

Answer 4

The process of organizing and formatting data to meet the requirements of the modeling technique.

Question 5

Data Requirements

Answer 5

The identification and definition of the necessary data elements, formats, and sources required for analysis.

Question 6

Data Understanding

Answer 6

A stage where data scientists discuss various ways to manage data effectively, including automating certain processes in the database.

Question 7

DBAs (Database Administrators)

Answer 7

The professionals who are responsible for managing and extracting data from databases.

Question 8

Decision tree classification

Answer 8

A modeling technique that uses a tree-like structure to classify data based on specific conditions and variables.

Question 9

Demographic information

Answer 9

Information about patient characteristics, such as age, gender, and location.

Question 10

Descriptive statistics

Answer 10

Techniques used to analyze and summarize data, providing initial insights and identifying gaps in data.

Question 11

Intermediate results

Answer 11

Partial results obtained from predictive modeling can influence decisions on acquiring additional data.

Question 12

Patient cohort

Answer 12

A group of patients with specific criteria selected for analysis in a study or model.

Question 13

Predictive modeling

Answer 13

The building of models to predict future outcomes based on historical data.

Question 14

Training set

Answer 14

A subset of data used to train or fit a machine learning model; consists of input data and corresponding known or labeled output values.

Question 15

Unavailable data

Answer 15

Data elements are not currently accessible or integrated into the data sources.

Question 16

Univariate

Answer 16

Modeling analysis focused on a single variable or feature at a time, considering its characteristics and relationship to other variables independently.

Question 17

Unstructured data

Answer 17

Data that does not have a predefined structure or format, typically text images, audio, or video, requires special techniques to extract meaning or insights.

Question 18

Visualization

Answer 18

The process of representing data visually to gain insights into its content and quality.