A Machine Learning Model for Early Prediction of Parkinson's Disease from Wearable Sensors-Reference-Cited by-同舟云学术

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A Machine Learning Model for Early Prediction of Parkinson's Disease from Wearable Sensors

Published:2023-03-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)
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Author:

Igene Lambert¹,Alim Anika¹,Imtiaz Masudul H¹,Schuckers Stephanie¹

Affiliation:

1. Clarkson University,Dept. of electrical and computer engineering,Potsdam,NY,USA,13699

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099037/10098906/10099230.pdf?arnumber=10099230

Reference17 articles.

1. Approximation of the expected value of the harmonic mean and some applications

2. Root-Mean-Square;weisstein;From MathWorld-A Wolfram Web Resource,0

3. Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease-A review;minja;Clinical Neurology and Neurosurgery,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smartphone-sensor-based human activities classification for forensics: a machine learning approach;Journal of Electrical Systems and Information Technology;2024-08-14

2. The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint);2024-05-14

3. Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review;Journal of Personalized Medicine;2024-02-13

4. Comparative Analysis for Feature Selection Approaches for Parkinson’s Disease Prediction;Lecture Notes in Networks and Systems;2024

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