Projects R01: APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS TO SYSTEM MODELING FOR LUNG CANCER DIAGNOSIS BASED ON EGFR MUTATIONS R02: MICROARRAY GENE COMPARATOR-MGC PM01: LEARNING DIAGNOSTIC CLASSIFIER (LDC) BASED ON GA-ANN ALGORITHM PM02: LEARNING DIAGNOSTIC CLASSIFIER(LDC) BASED ON MODULAR CLUSTERING, MAMDANI FUZZY MODEL AND CO-EVOLUTIONARY ALGORITHM PM03: CLASSIFICATION OF LUNG CARCINOMA BASED ON HYBRID ANFIS ENSEMBLE MODEL-ANEM PM04: CORELATION BETWEEN EGFR GENE EXPRESSION WHICH INDICATES ADENOCARCINOMA AND OUTPUT OF THE FIRST SYSTEM WHICH IDENTIFICATES EXON NUMBER WITH MUTATION COUNTS PM05: ARTIFICIAL NEURAL NETWORK CLASSIFIER (ANNC) BASED ON PREDICTIVE MUTATION GENERATOR (ANNC-PMG) PM06: KNOWLEDGE BASE TREATMENT MONITOR-KBTM BASED ON GA-ANFIS ALGORITHM PM07: KNOWLEDGE BASE TREATMENT MONITOR-KBTM BASED ON MAMDANI FUZZY MODEL, ANN AND CO-EVOLUTIONARY GENETIC ALGORITHM PM08: LEARNING PROGNOSIS CLASSIFIER (LPC) BASED ON HYBRID ANN-FUZZY ALGORITHM PM09: Decision Support System for Leukemia Cancer Diagnosis, Survival Prognosis, Treatment Monitoring, and Biomarkers Discovery Using Fusion of Artificial Intelligence Methods and Gene Microarray Technologies in the Area of Personalized Medicine
