EFFECT OF ARTIFICIAL INTELLIGENCE-BASED TECHNOLOGY IN MALARIA DIAGNOSIS

Prediction Based Diagnosis Using Artificial Intelligence Methods

Diagnosis of Pulmonary Tuberculosis Using Artificial Intelligence (Naive Bayes Algorithm)

Background and Aim: Despite the implementation of effective preventive and therapeutic programs, no significant success has been achieved in the reduction of tuberculosis. One of the reasons is the delay in diagnosis. Therefore, the creation of a diagnostic aid system can help to diagnose early Tuberculosis. The purpose of this research was to evaluate the role of the Naive Bayes algorithm as a...

A Artificial Intelligence in Computer-Aided Diagnosis

Professionals of the medical radiology area depend directly on the process of decision making in their daily activities. This process is mainly based on the analysis of a great amount of information obtained for the evaluation of radiographic images. Some studies demonstrate the great capacity of Artificial Neural Networks (ANN) in support systems for diagnosis, mainly in applications as patter...

Artificial intelligence: its use in medical diagnosis.

In nuclear medicine, analysis, interpretation and diagnosis may each be appropriate as applications for ANNs. Image processing and pattern recognition are two application areas of ANN technology that appear promising. An ANN (21) was used to classify normal and abnormal FDG-PET scans and performed better than discriminant analysis. Favorable results have been obtained from an ANN (22) in the in...

Wavelet Packets Analysis and Artificial Intelligence Based Adaptive Fault Diagnosis

Former fault diagnosis algorithms for the transmission systems usually employ FFT and deterministic thresholds. These bring simplicity along with lots of manual works and inaccuracy to the applications. This paper proposes a new adaptive fault diagnosis scheme, which hardly need any interference from users. It utilizes the Wavelet Packets Transformation Analysis (WPTA) as a preliminary feature ...