"Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences"
https://www.worldshakesbib.org/entry/bbbm90/
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).
DOI:
	10.3390/diagnostics12123181
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.  
Language:
	English
Keywords:
	medicine
Tags:
	Scholarship, Criticism, History of Criticism
WSB Update:
	Spring 2025
WSB Record Number:
	bbbm90