Several techniques fall under advanced analytics, including:
Predictive Modeling: Uses historical data to predict future outbreaks and disease trends. Data Mining: Extracts useful information from large datasets to identify patterns and correlations. Machine Learning: Employs algorithms that improve automatically through experience to make predictions or classify data. Natural Language Processing (NLP): Analyzes and interprets human language data from sources like social media or clinical records. Geospatial Analytics: Uses geographic information systems (GIS) to map and analyze the spatial distribution of diseases. Network Analysis: Examines the connections and interactions within populations to understand the spread of diseases.
