id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2146	Mylavarapu Kalyan Ram	A New Heuristic Hybrid Model for Cancer-Based P-Glycoprotein Drug Classification: Automated Prediction	2024	19	.pdf	application/pdf	7192	385	52	The values associated with the f-measure as they pertain to the classes of cancer sub cancer drug data sets are detailed in Table 3 Table 3 F-measure values F-measure Cancer drug data set datasets Implemented Approach CNN MECNet FCCNN Cancer-protein drug data set 0.96 0.72 0.91 0.84 Cancer-Protein drug data set 0.97 0.64 0.96 0.76 Cancer-Protein drug data set 0.97 0.81 0.89 0.79 Cancer-Protein drug data set 0.98 0.86 0.95 0.81 Cancer-Prtoein drug data set 0.99 0.79 0.91 0.78 Whenever we provide a number of cancer subcancer drug data sets, NHHM outperforms CNN, FCCNN, and MECNet, as demonstrated in figure 6, which compares the performance of the suggested approach with that of traditional approaches Figure 6. The suggested method yields 99% accuracy from average sub cancer drug data sets whenever there is an improvement to the class of cancer drug data sets Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 1s (2025) 175 https://internationalpubls.com Figure 5: Evaluates the recall performance using various cancer subcancer drug datasets While competing approaches provide inconsistent results when it comes to retrieving useful information from various satellite cancer sub cancer drug databases.	cache/cana-2146.pdf	txt/cana-2146.txt