Detection of Different stages of COPD Patients Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Detection of Different stages of COPD Patients Using Machine Learning Techniques

Published:2022-02-13 Issue: Volume: Page:
ISSN:
Container-title:2022 24th International Conference on Advanced Communication Technology (ICACT)
language:
Short-container-title:

Author:

Hussain Ali¹,Ugli Ikromjanov Kobiljon Komil¹,Kim Beom Su¹,Kim Minji¹,Ryu Harin¹,Aich Satyabrata¹,Kim Hee-Cheol²

Affiliation:

1. Institute of Digital Anti-Aging Healthcare, Inje University,South Korea

2. Institute of Digital Anti-Aging Healthcare/u-HARC, Inje University,Department of Computer Engineering,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9728250/9728768/09728932.pdf?arnumber=9728932

Reference23 articles.

1. Diagnosing asthma and chronic obstructive pulmonary disease with machine learning

2. Prediction Indicators for Acute Exacerbations of Chronic Obstructive Pulmonary Disease By Combining Non-linear analyses and Machine

3. Evaluating C-SVM, CRF and LDA classification for daily activity recognition;fergani;2012 International Conference on Multimedia Computing and Systems,2012

4. Development of a decision tree to assess the severity and prognosis of stable COPD

5. A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators

Cited by 1 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. Mudras and Yoga Positions Detection and Recognition using YOLOv7 and Faster R-CNN;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22