Automated sampling typically involves the following steps: 1. Data Collection: Gathering raw data from various sources such as electronic health records, social media, sensors, and surveys. 2. Preprocessing: Cleaning and organizing the data to remove noise or irrelevant information. 3. Algorithm Application: Using statistical and machine learning algorithms to select representative samples from the dataset. 4. Validation: Ensuring the selected samples meet the study's criteria and objectives.
