Using Patient Information for the Prediction of Caregiver Burden in Amyotrophic Lateral Sclerosis

A. Antoniadi, M. Galvin, M. Heverin, O. Hardiman, C. Mooney
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引用次数: 2

Abstract

The aim of this study is to create a Clinical Decision Support System (CDSS) to assist in the early identification and support of caregivers at risk of experiencing burden while caring for a person with Amyotrophic Lateral Sclerosis. We work towards a system that uses a minimum amount of data that could be routinely collected. We investigated if the impairment of patients alone provides sufficient information for the prediction of caregiver burden. Results reveal a better performance of our system in identifying those at risk of high burden, but more information is needed for an accurate CDSS.
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利用患者信息预测肌萎缩侧索硬化症患者的照顾者负担
本研究的目的是建立一个临床决策支持系统(CDSS),以帮助护理人员在护理肌萎缩侧索硬化症患者时早期识别和支持有负担风险的护理人员。我们的目标是建立一个系统,使用尽可能少的日常收集的数据。我们调查了患者的损伤是否单独提供了足够的信息来预测照顾者的负担。结果表明,我们的系统在识别高负担风险人群方面表现较好,但需要更多的信息来准确地进行CDSS。
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RA2Vec CanMod From Interatomic Distances to Protein Tertiary Structures with a Deep Convolutional Neural Network Prediction of Large for Gestational Age Infants in Overweight and Obese Women at Approximately 20 Gestational Weeks Using Patient Information for the Prediction of Caregiver Burden in Amyotrophic Lateral Sclerosis
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