Several techniques are employed to analyze big data in epidemiology:
Machine Learning: Algorithms that can learn from and make predictions on data. Natural Language Processing (NLP): Analyzing text data from sources like social media or clinical notes. Statistical Models: Traditional methods like regression analysis to understand relationships in data. Data Mining: Extracting useful information from large datasets. Visualization Tools: Graphical representations to make data insights more accessible.
