Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Mohammad Saniee Abadeh"'
Autor:
Mohammad Ordikhani, Mohammad Saniee Abadeh, Christof Prugger, Razieh Hassannejad, Noushin Mohammadifard, Nizal Sarrafzadegan
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0271723 (2022)
IntroductionThis study developed a novel risk assessment model to predict the occurrence of cardiovascular disease (CVD) events. It uses a Genetic Algorithm (GA) to develop an easy-to-use model with high accuracy, calibrated based on the Isfahan Coho
Externí odkaz:
https://doaj.org/article/ae327a49367641238ccb2673aa014a3f
Publikováno v:
Soft Computing Letters, Vol 3, Iss , Pp 100007- (2021)
Cancer detection using gene expression data has been a major trend of research for the last decade. Microarray gene expression data is one of the most challenging types of data due to high dimensionality and rarity of available samples. Feature redun
Externí odkaz:
https://doaj.org/article/116c1a7e5d814d94b3dc4b1e5272283e
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Short-term prediction of traffic variables aims at providing information for travelers before commencing their trips. In this paper, machine learning methods consisting of long short-term memory (LSTM), random forest (RF), support vector machine (SVM
Externí odkaz:
https://doaj.org/article/b8a2fc57549e48578d744a3bc48e8f79
Autor:
Ehsan Kamalloo, Mohammad Saniee Abadeh
Publikováno v:
Advances in Fuzzy Systems, Vol 2014 (2014)
The use of credit has grown considerably in recent years. Banks and financial institutions confront credit risks to conduct their business. Good management of these risks is a key factor to increase profitability. Therefore, every bank needs to predi
Externí odkaz:
https://doaj.org/article/e077266af1974494ba17e9b128585a86
Publikováno v:
Progress in Artificial Intelligence. 11:333-347
Autor:
Zahra Momeni, Mohammad Saniee Abadeh
Publikováno v:
Soft Computing. 26:3777-3788
Publikováno v:
Soft Computing. 25:3113-3129
The diagnosis of cancer is presently undergoing a change of paradigm for the diagnostic panel using molecular biomarkers. MicroRNA (miRNA) is one of the most important genomic datasets presenting the genome sequences. Since several studies have shown
Publikováno v:
Applied Intelligence. 50:3822-3836
Since recommended treatment for Non-small cell lung cancer (NSCLC) after surgery is chemotherapy, the prediction of effectiveness or futileness of adjuvant chemotherapy (ACT) in early stage is important for future decision. Classification of NSCLC in
Publikováno v:
2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM).
Autor:
Fatemeh Behrad, Mohammad Saniee Abadeh
Publikováno v:
Expert Systems with Applications. 213:118996