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Modelo de previsão clínica utilizando a aprendizagem de máquinas

Modelo de previsão clínica utilizando a aprendizagem de máquinas

Ashutosh Kumar / MOHAMMAD ZEESHAN / Ravi Shekhar

75,58 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2023
Materia
Empresa y gestión
ISBN:
9786205652459
75,58 €
IVA incluido
Disponible

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Na indústria da saúde, a grande análise de dados é extremamente importante, evidentemente porque a própria indústria alberga um vasto mar de conjuntos de dados. A análise é utilizada para examinar estes conjuntos de dados e descobrir informações e tendências ocultas, a fim de extrair conhecimentos e antecipar resultados. As actuais abordagens existentes carecem de uma categorização considerável e precisão de previsão, uma vez que a obtenção de dados clínicos e de cuidados de saúde estruturados é morosa e a previsão precisa de doenças utilizando relatórios em tempo real é uma tarefa difícil e computacionalmente intensiva. Por conseguinte, a compreensão dos motivos por detrás das abordagens de aprendizagem automática nos cuidados de saúde é essencial, uma vez que a precisão e exactidão são frequentemente críticas nos problemas dos cuidados de saúde. O objectivo é construir um modelo generalizado de previsão da aprendizagem mecânica clínica utilizando algoritmos de classificação supervisionados, a fim de prever várias doenças de saúde comuns mas graves através de um resultado binário.

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