Predicting the Possibility of Being Malignant Tumor based on Physical Symptoms using IoT

Md. Lizur Rahman, Sadat Hasan Shehab, Zareen Hasna Chowdhury, Avishake Kumar Datta
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引用次数: 1

Abstract

This paper presents a novel technique for predicting the possibility of being malignant brain tumor based on human physical symptoms using internet of things. Other state-of-the-art techniques for detecting the malignant brain tumor based on MRI images use X-ray light to detect malignant tumor, which is more expensive and harmful for health. On the other hand, the proposed device is designed in a portable way to monitor the real-time heart rate, blood pressure, body temperature and also more suitable for predicting the possibility of being malignant tumor compared to other existing techniques. This study also shows the relationship between symptoms and sub-symptoms of malignant brain tumor. The effectiveness of the proposed method for predicting the possibility of being malignant tumor from physical symptoms is testified by the result analysis.
利用物联网根据身体症状预测恶性肿瘤的可能性
本文提出了一种利用物联网技术,基于人体身体症状预测恶性脑肿瘤可能性的新技术。以核磁共振成像(MRI)为基础的恶性脑肿瘤检测技术,目前使用的是x光检查恶性肿瘤,费用较高,而且对健康有害。另一方面,该装置设计便携,可实时监测心率、血压、体温,与其他现有技术相比,更适合预测恶性肿瘤的可能性。本研究还显示了恶性脑肿瘤的症状和亚症状之间的关系。结果分析证明了该方法从躯体症状预测恶性肿瘤可能性的有效性。
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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