Robert Aurelian Sova

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1. Introduction In recent years, artificial intelligence has been among the technologies with the most accelerated rate of development, with AI tools evolving from rule-based systems, reproducing human intelligence, to complex models capable of deep learning, adapting, problem solving, understanding and generating human language, processing and analyzing images, analyzing historical data to predict future outcomes, making informed decisions, and much more.

Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence Bucharest University of Economic Studies, Bucharest, Romania DOI 10.7717/peerj-cs.1518 Academic Editor Ka-Chun Wong Subject Areas Bioinformatics, Computational Biology, Data Mining and Machine Learning, Data Science, Neural Networks Keywords Automated algorithms, Nowcast, Forecast, Cancer, Google Trends, ARIMA, State space, Neural network autoregression, Public health, Resource allocation Copyright ©...