用模糊的Tsukamoto逻辑来预测地中海贫血患者的健康状况

Cintya Fransisca Wijaya, Lena Magdalena, Reza Ilyasa
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摘要

地中海贫血是一种遗传性疾病,患者会出现红细胞异常,一生中必须持续输血。锡雷本市的Gunung Jati医院在印度尼西亚儿童基金会(POPTI)的协助下处理地中海贫血患者的登记和安排。在处理患者数据时,有必要有一个系统来促进所有活动,包括注册、调度、预测患者的健康状况以及处理患者状况的建议。本研究的目的是利用模糊冢本方法建立一个基于影响变量的地中海贫血患者健康状况预测系统。该系统还可以处理患者数据、调度和存储患者医疗重述数据。该系统的最终结果是患者数据、患者护理计划、患者健康状况预测以及对患者的建议。关键词-模糊;预测;地中海贫血;冢本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistem Prediksi Kondisi Kesehatan Pasien Penderita Talasemia dengan Menggunakan Logika Fuzzy Tsukamoto
Thalassemia is a hereditary disease that makes sufferers experience red blood cell abnormalities and must receive continuous blood transfusions throughout their lives. Gunung Jati Hospital, Cirebon City handles registration and scheduling of thalassemia patients with assistance from Perhimpunan Orang tua Penderita Talasemia Indonesia (POPTI). In handling patient data, it is necessary to have a system that facilitates all activities ranging from registration, scheduling, and make predictions about the patient's health condition along with recommendations for handling the patient's condition. The purpose of this study is to make a prediction system for health conditions related to thalassemia suffered by patients based on influencing variables using the Fuzzy Tsukamoto method. This system can also handle patient data, scheduling, and storing patient medical recap data. The final results of this system are patient data, patient care schedules, predictions of patient health conditions, and recommendations for patients.   Keywords— Fuzzy; Prediction; thalassemia; Tsukamoto.
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