Applications of artificial intelligence to identify psychoanalysis drug addiction patients and HIV / AIDS in cognitive science modeling using Bayes method

摘要

Applications of Artificial Intelligence (AI) to identify thinking human and psychoanalysis patient Drug Addiction and HIV /AIDS in science cognitive modeling by using Bayesian Method. Psykhoanalysis and cognitive field studies using algorithm models have been widely used by probabilistic metodhs. It can be tested in observation to do 30 peoples affected by HIV-AIDS sufferers Drug Charge by using Questionaires to Antisocial Personality Disorders Threshold, Personality Disorders Threshold as well as MBTI. The type of personality 30 patients/persons consist of ISFP personality, INTJ, ISTJ, INTJ etc., as well as produce psycho analysis findings Threshold Antisocial Personality Disorder (GKA) and Borderline Personality Disorder (GKB). The Bayes Methods and Naïve Bayes algorithm used to predict the causality Probability review between variables and parameters classifying. The confidences personality types will be affected the tendency of Antisocial Personality thresholds in 39% and 60% Threshold personality tendencies of causality between variables patient. The causalitative every lead with Calculating Value of Bayes. The Algorithms Naïve Bayes classification aims to review some parameter class data on-parameter Personality Type, Antisocial Personality Disorder and Personality Disorders threshold. The output threshold associated with rejection reactions, depression, anger, bargaining, acceptance, depression or General frustation. The two subjects tend to use Focused Coping Emotionally. And two subjects had a tendency to use reaprraisal positive difference and seek emotional social support. AI Applications created using methods ESDLC and the questionares are MBTI, GKA and GKB given by Expert Psychiatrist.