VafaeeLab's repositories
bloodbased-pancancer-diagnosis
Benchmarking study of feature extraction methods for cancer diagnosis using blood-based biomarkers. Feature extraction methods are compared both in terms of their performance and robustness
Dermatology-ML
Following repository demonstrates machine learning architectures that can correctly classify lesions between LM and AMH. Overall, our methods showcase the potential for computer-aided diagnosis in dermatology, which, in conjunction with remote acquisition can expand the range of diagnostic tools in the community. This code is implemented using Keras and Tensorflow frameworks.
HybridModel-COVID-19-Prediction
To accurately predict the regional spread of COVID-19 infection, this study proposes a novel hybrid model which combines a Long short-term memory (LSTM) artificial recurrent neural network with dynamic behavioral models. Several factors and control strategies affect the virus spread, and the uncertainty arisen from confounding variables underlying the spread of the COVID-19 infection is substantial. The proposed model considers the effect of multiple factors to enhance the accuracy in predicting the number of cases and deaths across the top ten most-affected countries and Australia. The results show that the proposed model closely replicates test data. It not only provides accurate predictions but also estimates the daily behavior of the system under uncertainty. The hybrid model outperforms the LSTM model accounting for data limitation. The parameters of the hybrid models were optimized using a genetic algorithm for each country to improve the prediction power while considering regional properties. Since the proposed model can accurately predict COVID-19 spread under consideration of containment policies, is capable of being used for policy assessment, planning and decision-making.
multiobj_miR_marker_discovery
Multi-objective, network-based microRNA biomarker discovery of complex disease phenotypes
bnsl_ga
Machine learning research project: Bayesian Network Structure Learning using Genetic Algorithms.
COVID19-TS-Forcast
COVID-19 Time-Series Forcasting
FeatureSelection_Classification
Benchmarking on Feature selection and classification methods for blood-based biomarker discovery
find_website_network
shiny app for FIND network visualization
microRNA_marker_discovery
A data-driven, knowledge-based approach to biomarker discovery
Survival-HCC-Recurrence
Survival analysis study for predicting HCC recurrence one year after surgical resection
SVR2019-DL-Models
Repository for the deep learning models I used in my 2019 summer vacation research at UNSW