Appliance of machine learning algorithm in the pharmaceutical sector: a review

• Autor(a) principal: Campos, Tarcio Correia de
• Data de Publicação: 2021
• Outros Autores: Vasconcelos, Tibério Cesar Lima de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Research, Society and Development
• Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/22862
• topic: Árvore de decisão; Regressão linear de mínimos; Regressão logística; Indústria farmacêutica; Naive bayes; Suportt vector machine.; Decision tree; Linear regression of minimums; Support vector machine; Logistic regression; Naive bayes; Pharmaceutical industry.; Árbol de decisión; Regresión lineal de mínimos; Máquina de vectores de apoyo; Regresión logística; Bayes ingenuos; Industria farmacéutica.

The pharmaceutical industry with all of its importance has been innovating and revolutionizing in the course of the time. The information technology on its segments has a crucial role so the changes can happen, and this project will show the growth situation of the pharmaceutical industry and the importance of its technology in Brazil, in the world and also the use of algorithm as essentials tools in several areas in the pharmaceutical field. During the course of this project, to its end, will be described details showing how is the industry’s outlook, pharmaceutical technologies, algorithms being important keys at problem solving, partnerships between industries, innovations for medications, medical services and treatments. This is an integrative literature review using the Google Scholar, PubMed, Scielo and Science Direct platforms to search for articles from 2003 to 2021 on the application of machine learning algorithms in the pharmaceutical area. The use of algorithms proved to be effective, facilitating the development of new drugs and in solving existing problems.