Stage-based colorectal cancer prediction on uncertain dataset using rough computing and LSTM models
Abstract Artificial intelligence (AI) is an attractive field of Computer Science that helps to classify and to predict various real-time applications. Perhaps AI has a major role in predicting diseases at an early stage based on history. As cancer is one of the most harmful diseases where the mortal...
Saved in:
| Main Authors: | K. Supriya, A. Anitha |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-77302-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Generalized Roughness of (∈, ∈ ∨q)-Fuzzy Ideals in Ordered Semigroups
by: Azmat Hussain, et al.
Published: (2019-01-01) -
ROUGH LATTICE OVER BOOLEAN ALGEBRA
by: Dipankar Rana, et al.
Published: (2015-03-01) -
Properties of rough fuzzy prime ideals in Γ rings
by: Durgadevi P., et al.
Published: (2024-06-01) -
Rough Hesitant Fuzzy Groups
by: Xueyou Chen
Published: (2020-03-01) -
Generalized roughness in (∈,∈∨q)-fuzzy ideals of hemirings
by: Muhammad Rameez, et al.
Published: (2017-07-01)