Development and Implementation of a Fuzzy Logic‐Based Framework for the Internet of Medical Things (IoMT) DOI

P. Santosh Reddy,

A. S. Mamatha,

Akshatha Kamath

et al.

Published: March 11, 2024

The growth of remote sensors and worn-out technologies revolutionized health status. Massive amounts data, often unstructured diverse, are produced by the widespread devices. Many methods established to safeguard sharing private information. However, fuzzy logic systems used organize verify data. Their energy reserves impact reliability, accuracy, responsiveness wireless To make proper medical diagnoses decisions, it is necessary use techniques such as categorization, noise reduction, precise data interoperability. difficulties associated with crude information administrative can be mitigated using a system related algorithms. Fuzzy depends on artificial intelligence (AI) networks enhancement methods. healthcare-related application framework improved testing improve accuracy; current study reviews variety works that incorporate these algorithms do so. present outlines novel technique in topic modeling, known latent semantic analysis (FLSA), which incorporates perspective. has capability address problem redundancy datasets introduces approach for determining number topics. Future studies should focus increasing reasoning component's flexibility integrating new features into existing cloud infrastructure machine-learning approaches.

Language: Английский

An Emperical Way to Diagnose the Cancer Stages Using Algorithm in AI System DOI
Balakumar Muniandi,

Haritha Yennapusa,

Rakesh Ramakrishnan

et al.

Published: Feb. 9, 2024

This paper gives a unique technique for automated cancer detection the use of AI-based totally prediction algorithms. Cancer often as complicated and heterogeneous set traits, making prognosis hard. In this novel method, an AI-primarily based rules is used to come across most cancers from visible scientific information. The utilizes supervised studying categorize information photograph features, after which practice type version be expecting presence cancers. optimized accuracy can discover multiple types with excessive accuracy. results demonstrate that approach stumble on up ninety%, it effective device automatic prognosis. Additionally, might similarly applied other diagnosis tasks, in treasured device.

Language: Английский

Citations

6
Development and Implementation of a Fuzzy Logic‐Based Framework for the Internet of Medical Things (IoMT) DOI

P. Santosh Reddy,

A. S. Mamatha,

Akshatha Kamath

et al.

Published: March 11, 2024

The growth of remote sensors and worn-out technologies revolutionized health status. Massive amounts data, often unstructured diverse, are produced by the widespread devices. Many methods established to safeguard sharing private information. However, fuzzy logic systems used organize verify data. Their energy reserves impact reliability, accuracy, responsiveness wireless To make proper medical diagnoses decisions, it is necessary use techniques such as categorization, noise reduction, precise data interoperability. difficulties associated with crude information administrative can be mitigated using a system related algorithms. Fuzzy depends on artificial intelligence (AI) networks enhancement methods. healthcare-related application framework improved testing improve accuracy; current study reviews variety works that incorporate these algorithms do so. present outlines novel technique in topic modeling, known latent semantic analysis (FLSA), which incorporates perspective. has capability address problem redundancy datasets introduces approach for determining number topics. Future studies should focus increasing reasoning component's flexibility integrating new features into existing cloud infrastructure machine-learning approaches.

Language: Английский

Citations

0