Development of Fuzzy Based Models for Detection System with More Accuracy for the Implementation of Healthcare/Clinical System-Reference-Cited by-同舟云学术

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Development of Fuzzy Based Models for Detection System with More Accuracy for the Implementation of Healthcare/Clinical System

Published:2024-05-14 Issue: Volume:10 Page:800-805
ISSN:
Container-title:2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Raman Ramakrishnan¹,Kumar Vikram²,Pillai Biju G.³,Verma Apurv⁴,Rastogi Shailesh⁵,Meenakshi ⁶

Affiliation:

1. Symbiosis International (Deemed University)

2. SRV Media Pvt. Ltd

3. Sri Balaji University,Faculty of Management IT & Business Analytics,Pune(SBUP)

4. Parul institute of Technology, Parul University,Computer science and Engineering Faculty of Engineering and Technology

5. Symbiosis Institute of Business Management Nagpur, Symbiosis International (Deemed University),Pune

6. Chennai Institute of technology,Computer science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616389/10616398/10617150.pdf?arnumber=10617150

Reference31 articles.

1. Automated Detection of External Ventricular and Lumbar Drain-Related Meningitis Using Laboratory and Microbiology Results and Medication Data

2. Predicting Hospital-Acquired Infections by Scoring System with Simple Parameters

3. Improved Surveillance for Surgical Site Infections after Orthopedic Implantation Procedures: Extending Applications for Automated Data

4. Administrative Data Fail to Accurately Identify Cases of Healthcare-Associated Infection

5. Computer Algorithms To Detect Bloodstream Infections

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