Isolation Forest Anomaly Detection in Vital Sign Monitoring for Healthcare-Reference-Cited by-同舟云学术

Isolation Forest Anomaly Detection in Vital Sign Monitoring for Healthcare

Published:2023-12-29 Issue: Volume:10 Page:1-7
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Yadav Kanchan¹,Aswal Upendra Singh²,Saravanan V.³,Dwivedi Shashi Prakash⁴,Shalini N⁵,Kumar Navneet⁶

Affiliation:

1. GLA University,Department of Electrical Engineering,Mathura

2. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand

3. Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Chennai

4. Lloyd Institute of Engineering and Technology,Greater Noida

5. Institute of Aeronautical Engineering,Department of Computer Science and Engineering,Hyderabad,Telangana

6. Lloyd Law College,Greater Noida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10488940.pdf?arnumber=10488940

Reference30 articles.

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4. Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices;Xu;Sensors,2023

5. Telemedicine in Primary Practice in the Age of the COVID-19 Pandemic—Review;Romaszko-Wojtowicz;Medicina,2023