- Title:
- "Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences"
- Author:
- Erten, Mehmet; Acharya, Madhav R.; Kamath, Aditya P.; Sampathila, Niranjana; Bairy, G. Muralidhar; Aydemir, Emrah; Barua, Prabal Datta; Baygin, Mehmet; Tuncer, Ilknur; Dogan, Sengul; Tuncer, Turker.
- Type:
- Journal Article
- Year:
- 2022
- Publication Information:
- Diagnostics 12, no. 12 (2022).
- Annotation:
Describes process of discriminating between SARS-CoV-2 and Influenza-A, two conditions with similar symptoms, by using “novel text-based classification model.” Explains how researchers downloaded viral protein sequences of both conditions with varying lengths and selected random instances of each condition to form two-class dataset. Explains how researchers used “new feature extraction function based on a unique pattern, HamletPat, generated from the text of Shakespeare’s Hamlet” as well as “a signum function to extract local binary pattern-like bits from overlapping fixed-length blocks of the protein sequences.” English summary, online.