使用移动和可穿戴设备估计CIPN引起的症状

Wataru Sasaki, Ryouya Ozawa, T. Okoshi, J. Nakazawa, K. Yagasaki, H. Komatsu
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引用次数: 1

摘要

化疗引起的周围神经病变(CIPN)是抗癌药物的常见副作用,它会导致癌症患者肌肉无力,导致他们摔倒。因此,我们构建了“FD-AWARE”,这是一个了解用户跌倒背景和用户CIPN症状的系统,作为预防跌倒的第一步。该系统可以收集来自iPhone和Apple Watch的各种传感器数据,自我报告的跌倒信息数据,自我报告的用户CIPN症状状态数据,以及他们的身体状况。我们对8名患有CIPN的患者进行了为期2周的野外实验。我们构建了用于估计用户CIPN症状状态的机器学习模型,并成功地实现了几个估计模型的高精度性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating symptoms caused by CIPN using mobile and wearable devices
Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of anticancer drugs that causes muscle weakness in the cancer patients, causing them to fall. Therefore, we constructed "FD-AWARE", a system to understand the users' fall context and users' CIPN symptoms as the first step in preventing these falls. This system can collect the various sensor data from the iPhone and the Apple Watch, self-reported fall information data, self-reported user status data of CIPN symptoms, and their physical condition. We conducted a 2-week in-the-wild experiment with 8 patients who were actually suffering from CIPN. We constructed the machine learning models for estimating the users' status of CIPN symptoms and successfully achieved high accuracy of performance for several estimating models.
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