This paper is in the following e-collection/theme issue:

Genetic engineering (2) Glucose Tracking and Self-Monitoring of Blood Glucose (162)

Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20932, first published .
Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features

Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features

Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features

Authors of this article:

Paramasivam Alagumariappan1 Author Orcid Image ;   Kamalanand Krishnamurthy2 Author Orcid Image ;   Sundravadivelu Kandiah3 Author Orcid Image ;   Emmanuel Cyril4 Author Orcid Image ;   Rajinikanth V5 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Martinek R, Ladrova M, Sidikova M, Jaros R, Behbehani K, Kahankova R, Kawala-Sterniuk A. Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals. Sensors 2021;21(18):6064 View