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

Radiological Dependence in Diagnosis of Pulmonary Tuberculosis

Introduction: Diagnosis of tuberculosis under the National Tuberculosis Control Program (NTCP) is based on microscopic examination of sputum. The main objective of this study was to assess the perception of physicians and patients regarding the importance of chest X-ray in diagnosing pulmonary tuberculosis with a view to suggest corrective measures. Materials & Methods: One hundred and eight...

Using Naive Bayes Algorithm to Students' bachelor Academic Performances Analysis

Academic Data Mining was one of emerging field which comprise procedure of examined students’ details by different elements such as earlier semester marks, attendance, assignment, discussion, lab work were of used to improved bachelor academic performance of students, and overcome difficulties of low ranks of bachelor students. It was extracted useful knowledge from bachelor academic students d...

Sentiment Analysis using Naive Bayes

Sentiment analysis is a challenging and interesting natural language processing task, if only because it naturally lends itself to domain adaptation. We study sentiment analysis using Naive Bayes and essentially reproducing the results from [1]. We start by describing the Naive Bayes model we use, then we describe the experimental setup and finally we discuss our observations and results. The N...

Prediction Based Diagnosis Using Artificial Intelligence Methods

Keyword Extraction Using Naive Bayes

As the internet grows, amount of electronic text increases rapidly. This brings the advantage of reaching the information sources in a cheap and quick way.

Weeds identification using Evolutionary Artificial Intelligence Algorithm

In a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. Weeds represent 34% of the whole pests while insects, diseases and the deterioration of ag...