About Machine Learning

Machine learning focuses on the development of computer programs that can access data and use statistical techniques to learn from data, without being explicitly programmed. It is the application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide.

Machine Learning and Vector-borne diseaes

Machile Learning and its application as artificial intelligence, has not been fully applied in modelling vector-borne diseases.Β 

Many vector-borne diseases are epidemic and timely prediction is limited by absence of time-series data to be used by available statistical models. Use of artificially intelligent machine learning algorithms can provide clues within available or simulated data. Algorithms such as Anomally Detection Systems (ADS), Artificial Neural Networks (ANN) and Support Vector Machines (SVM) can help to identify patterns of unusual behavior within data to be able to give a clue about disease epidemic.