Zuherman Rustam

Publications by Year

Research Areas

Artificial Intelligence in Healthcare, AI in cancer detection, Data Mining and Machine Learning Applications, Imbalanced Data Classification Techniques, Gene expression and cancer classification

Most-Cited Works

• → Naïve Bayes Classifier Models for Predicting the Colon Cancer(2019)116 cited
• → Feature Selection using Random Forest Classifier for Predicting Prostate Cancer(2019)91 cited
• → Comparing random forest and support vector machines for breast cancer classification(2020)72 cited
• → Improvement in automated diagnosis of soft tissues tumors using machine learning(2021)40 cited
• → Classification of Schizophrenia Data Using Support Vector Machine (SVM)(2018)38 cited
• → Comparison between Support Vector Machine and Fuzzy C-Means as Classifier for Intrusion Detection System(2018)38 cited
• → Insolvency Prediction in Insurance Companies Using Support Vector Machines and Fuzzy Kernel C-Means(2018)38 cited
• → Random forest for breast cancer prediction(2019)36 cited
• → Kernel Spherical K-Means and Support Vector Machine for Acute Sinusitis Classification(2019)36 cited
• → Ovarian cancer data classification using bagging and random forest(2019)36 cited