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Item type:Publication, Implementation of machine learning in health management to improve the process of medical appointmentsin Perú(IJETAE Publication House, 2022-02-01)The Peruvian health system has presented various deficiencies, one in particular is the difficulty and time for a user to schedule a medical appointment, in various health centers nationwide it is a problem for many citizens to easily access the health service. This research proposes developing a mobile app that allows automating this process by streamlining the procedures that lead to good health management to optimize both financial and human resources for better performance, quality and user experience that is insured at the service of ESSALUD. The results show that digital transformation and modernization with the support of technology significantly improve health management and therefore the medical appointment process, as well as other aspects that reduce the time of care and guarantee a reduction in the administrative work of the personnel of health allowing them to spend more time in patient care. Keywords—artificial intelligence; health; health management; machine learning; medical appointment - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial Intelligence Model Based on Grey Clustering to Access Quality of Industrial Hygiene: A Case Study in Peru(MDPI, 2023-03-01)Industrial hygiene is a preventive technique that tries to avoid professional illnesses and damage to health caused by several possible toxic agents. The purpose of this study is to simultaneously analyze different risk factors (body vibration, lighting, heat stress and noise), to obtain an overall risk assessment of these factors and to classify them on a scale of levels of Unacceptable, Not recommended or Acceptable. In this work, an artificial intelligence model based on the grey clustering method was applied to evaluate the quality of industrial hygiene. The grey clustering method was selected, as it enables the integration of objective factors related to hazards present in the workplace with subjective employee evaluations. A case study, in the three warehouses of a beer industry in Peru, was developed. The results obtained showed that the warehouses have an acceptable level of quality. These results could help industries to make decisions about conducting evaluations of the different occupational agents and determine whether the quality of hygiene represents a risk, as well as give certain recommendations with respect to the factors presented.