Prototipe Machine Learning Untuk Prognosis Penyakit Demensia (The Prototype of Machine Learning for The Prognosis of Dementia)

Rifqi Hammad, Julia Kurniasih, N. Hasan, Christin Nandari Dengen, Kusrini Kusrini
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引用次数: 3

Abstract

Alzheimer's Disease International estimates that the number of people living with dementia in Indonesia is estimated to increase to more than 2 million by 2030. The loss suffered by Indonesia due to dementia is projected to reach US $ 1.7 billion per year. This is due to a decrease in cognitive function and social activities experienced by people with dementia . As a result, public health problems arise, which have an impact on increasing health costs. To address this issue, proper handling is needed. The development of assistive technologies for prognosis of dementia may support the treatment process better. This study developed a machine learning prototype for the prognosis of dementia using rule-based forward chaining method. The results showed an accuracy value of 100%, which suggested that the prognosis has complied with the expert rules.
机器学习原型Untuk Prognosis Penyakit Dementia(机器学习预测痴呆症的原型)
国际阿尔茨海默病组织估计,到2030年,印度尼西亚患痴呆症的人数估计将增加到200多万。印度尼西亚因痴呆症而遭受的损失预计将达到每年17亿美元。这是由于痴呆症患者的认知功能和社会活动减少。因此,出现了公共卫生问题,这对增加保健费用产生了影响。要解决这个问题,需要妥善处理。痴呆预后辅助技术的发展可能会更好地支持治疗过程。本研究使用基于规则的前向链方法开发了一种用于痴呆症预后的机器学习原型。结果显示准确率为100%,表明预后符合专家规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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