Kung-Min Wang
According to our database1,
Kung-Min Wang
authored at least 14 papers
between 2013 and 2022.
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Bibliography
2022
Capacitated production planning by parallel genetic algorithm for a multi-echelon and multi-site TFT-LCD panel manufacturing supply chain.
Appl. Soft Comput., 2022
2021
Benchmarking prognosis methods for survivability - A case study for patients with contingent primary cancers.
Comput. Biol. Medicine, 2021
2020
Survivability Prognosis for Lung Cancer Patients at Different Severity Stages by a Risk Factor-Based Bayesian Network Modeling.
J. Medical Syst., 2020
Survivability modelling using Bayesian network for patients with first and secondary primary cancers.
Comput. Methods Programs Biomed., 2020
2019
Medical expenditure estimation by Bayesian network for lung cancer patients at different severity stages.
Comput. Biol. Medicine, 2019
2016
Diagnosis of Brain Metastases from Lung Cancer Using a Modified Electromagnetism like Mechanism Algorithm.
J. Medical Syst., 2016
2015
An improved electromagnetism-like mechanism algorithm and its application to the prediction of diabetes mellitus.
J. Biomed. Informatics, 2015
A hybrid classifier combining Borderline-SMOTE with AIRS algorithm for estimating brain metastasis from lung cancer: A case study in Taiwan.
Comput. Methods Programs Biomed., 2015
Probabilistic modeling of short survivability in patients with brain metastasis from lung cancer.
Comput. Methods Programs Biomed., 2015
2014
Modeling and predicting the occurrence of brain metastasis from lung cancer by Bayesian network: A case study of Taiwan.
Comput. Biol. Medicine, 2014
Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm.
BMC Bioinform., 2014
A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients.
Appl. Soft Comput., 2014
Applying particle swarm optimization-based decision tree classifier for cancer classification on gene expression data.
Appl. Soft Comput., 2014
2013
An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data.
BMC Medical Informatics Decis. Mak., 2013