Predictive Analytics for Hospital Readmissions Using Logistic Regression and IoT Sensor Data-Reference-Cited by-同舟云学术

Predictive Analytics for Hospital Readmissions Using Logistic Regression and IoT Sensor Data

Published:2024-06-20 Issue: Volume:10 Page:1-6
ISSN:
Container-title:2024 6th International Conference on Energy, Power and Environment (ICEPE)
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Author:

B Kiruthiga¹,Mohamed Abuthahir Riazulhameed Arshadh Ariff²,M Rajapriya.³,Sarasu R.⁴,Mohankumar N.⁵,Kasthuri A.⁶

Affiliation:

1. SRM Valliammai Engineering College,Department of Management Studies,Chennai,Tamil Nadu,India

2. Blackstraw Technologies Pvt Ltd,Chennai,Tamil Nadu,India

3. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Department of Management Studies,Chennai,Tamil Nadu,India

4. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Spatial Informatics,Chennai,Tamil Nadu,India

5. Symbiosis International (Deemed University),Symbiosis Institute of Technology (SIT),Nagpur,Maharashtra,India

6. Inayaka Mission's Research Foundation (DU),Vinayaka Mission's Kirupananda Variyar Engineering College,Department of Computer Science and Engineering,Salem,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10668827/10668855/10668933.pdf?arnumber=10668933

Reference28 articles.

1. Predicting Hospital Readmission of Diabetics using Deep Forest

2. Optimal Setting of Machining Parameters for Turning Inconel 625 Using Coated Tool

3. Wearable Sepsis Early Warning Using Cloud Computing and Logistic Regression Predictive Analytics

4. Soil Nutrient Detection Based on Photonic Crystal Hexagonal Resonator for Smart Farming

5. Firefighter Skill Advancement through IoT-Enabled Virtual Reality and CNN-Based Training