รหัสดีโอไอ

รหัสดีโอไอ 10.14458/RSU.res.2023.104
Title Using Telemonitoring Data And Machine Learning Models To Predict Parkinson's Disease Severity For Remote Healthcare Services During The Covid-19 Epidemic
Creator Suejit Pechprasarn
Contributor Suejit Pechprasarn, Lalita Manavibool, Nanticha Supmool2, Naravin Vechpanich, Phattranij Meepadung2
Publisher Rangsit University
Publication Year 2023
Keyword Teleconsultation, Parkinson's disease, Regression models, Supervised Machine Learning, Feature extraction, Complexity reduction, Artificial Intelligence based Diagnostic Software
ISBN 978-616-421-175-9
Language EN
URL Website https://rsucon.rsu.ac.th/
ดิจิตอลไฟล์ Digital File

บรรณานุกรม

Suejit Pechprasarn และผู้แต่งคนอื่นๆ. (2023) Using Telemonitoring Data And Machine Learning Models To Predict Parkinson's Disease Severity For Remote Healthcare Services During The Covid-19 Epidemic. Rangsit University:ม.ป.ท.
Suejit Pechprasarn และผู้แต่งคนอื่นๆ. 2023. Using Telemonitoring Data And Machine Learning Models To Predict Parkinson's Disease Severity For Remote Healthcare Services During The Covid-19 Epidemic. ม.ป.ท.:Rangsit University;
Suejit Pechprasarn และผู้แต่งคนอื่นๆ. Using Telemonitoring Data And Machine Learning Models To Predict Parkinson's Disease Severity For Remote Healthcare Services During The Covid-19 Epidemic. ม.ป.ท.:Rangsit University, 2023. Print.