Utilization of the artificial intelligence for the evaluation and improvements in biosegurity protocols for the prevention of infections crossed in attention odontológica for the COVID-19

Abstract

The COVID-19 has provoked renewing the protocols of attention to the patients that help to the clinics odontológicas. They make big volúmenes's existence of information the utilization necessary out of the artificial intelligence for the processing of the data. It comes into question like objective of investigation to set itself a methodology as from the utilization of the artificial intelligence for the evaluation and you improve in bioseguridad's protocols for the prevention of infections crusades in attention odontológica for the COVID-19. The analytical synthetic and inductive deductive methods utilize themselves for it that they consider a series of articles of scientific investigation with present-day periods of investigation once odontologists in regard to patients were related to and the crossed control of infections in attention odontológica in time of COVID–19, being a total of 101 goods, that they were chosen utilizing certain criteria. This methodology did not sole provide a deep understanding of the data and your relation with bioseguridad's practices, but also you equip the professionals with tools to take decisions based in data in a context of critical health. In order to implement an analysis of the data related with the control of infections gone across in attention odontológica during COVID-19 pandemic in Python, we would be able to follow the following steps, utilizing common libraries like Pandas for the manipulation of data and Matplotlib or Seaborn for visualization