Diagnosis of Malignant Pleural Mesothelioma Using KNN
暂无分享,去创建一个
[1] Giovanni Petris,et al. Small orangiophilic squamous‐like cells: An underrecognized and useful morphological feature for the diagnosis of malignant mesothelioma in pleural effusion cytology , 2014, Cancer cytopathology.
[2] Nick A Maskell,et al. Malignant pleural mesothelioma: an update on investigation, diagnosis and treatment , 2016, European Respiratory Review.
[3] Bulusu Lakshmana Deekshatulu,et al. Classification of Heart Disease Using K- Nearest Neighbor and Genetic Algorithm , 2015, ArXiv.
[4] A. Vadivel,et al. A New Feature Reduction Method for Mammogram Mass Classification , 2011 .
[5] Adel Al-Jumaily,et al. Feature subset selection using differential evolution and a statistical repair mechanism , 2011, Expert Syst. Appl..
[6] Domenica Cavone,et al. Epidemiological patterns of asbestos exposure and spatial clusters of incident cases of malignant mesothelioma from the Italian national registry , 2015, BMC Cancer.
[7] R. Stahel,et al. Malignant pleural mesothelioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2010, Annals of oncology : official journal of the European Society for Medical Oncology.
[8] Fevzullah Temurtas,et al. An approach based on probabilistic neural network for diagnosis of Mesothelioma's disease , 2012, Comput. Electr. Eng..
[9] V Torri,et al. Malignant Pleural Mesothelioma : State of the art and recommendations , 2016 .
[10] Orhan Er,et al. Use of artificial intelligence techniques for diagnosis of malignant pleural mesothelioma , 2015 .
[11] Manpreet Kaur,et al. An approach for feature selection using local searching and global optimization techniques , 2017, Neural Computing and Applications.
[12] Mehrbakhsh Nilashi,et al. An analytical method for diseases prediction using machine learning techniques , 2017, Comput. Chem. Eng..