Computational modeling for type 2 diabetes mellitus
Type-II diabetes, which is known as non-insulin-dependent diabetes, results from insulin resistance, a condition in which cells fail to use insulin properly, sometimes combined with an absolute insulin deficiency. This type is by far the most common, affecting 90 to 95% of the diabetes population. T...
Main Author: | Huynh, Nhat Quang. |
---|---|
Other Authors: | Quek Hiok Chai |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/44425 |
Similar Items
-
Verification of type 1 diabetes mellitus model
by: Sri Vathsavai Neelima
Published: (2014) -
Personalised medicine for type 2 diabetic patient using neuro-fuzzy system
by: Wong, Chun Keet
Published: (2017) -
Improve the computation efficiency in epigenome-wide and genome-wide association studies
by: Tran, Nhat Sang
Published: (2015) -
Artificial neural networks-based approach to design ARIs using QSAR for diabetes mellitus
by: Patra, Jagdish Chandra, et al.
Published: (2011) -
Dynamic modeling of type 1 diabetic metabolism
by: Jivesh Ramduny
Published: (2015)