Frontiers | Artificial Neural Networks for Prediction of Tuberculosis Disease | Microbiology

Frontiers | Artificial Neural Networks for Prediction of Tuberculosis Disease | Microbiology

Background: The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedure, during which there are more chances in the transmission of disease. Further, the Xpert MTB/RIF assay offers a fast diagnostic facility within 2 h, but due to low sensitivity in some sample types may lead to more serious state of the disease. The role of computer technologies is now increasing in the diagnostic procedures. Here, in the current study we have applied the artificial neural network (ANN) that predicted the TB disease based on the TB suspect data.Methods: We developed an approach for prediction of TB, based on an ANN. The data was collected from the TB suspects, guardians or care takers along with samples, referred by TB units and health centers. All the samples were processed

1 mentions: @DataScienceNIG
Date: 2020/03/24 09:51

Referring Tweets

@DataScienceNIG Today is #WorldTuberculosisDay We review examples of Artificial Intelligence research interventions to combat this disease: Detection: t.co/ceEqSLoINT Drug creation: t.co/8HNwaCqUbS Drug Prescription: t.co/eqtBS2spus Resistance: t.co/oJPDIFh2MF t.co/aYZzM5Drxk

Related Entries

Read more AI Wednesdays Cohort 1, 2020
0 users, 1 mentions 2020/01/20 17:21
Read more LADIES LIKE AI
0 users, 4 mentions 2020/03/08 15:51
Read more LADIES LIKE AI
0 users, 5 mentions 2020/03/09 02:20
Read more Data Science Nigeria AI in Cities. | Kaggle
0 users, 2 mentions 2020/03/17 12:54
Read more Data Science Nigeria COVID19 Online Conference - YouTube
0 users, 4 mentions 2020/04/04 15:51