Prognosis Model of The Treatment Period of Tuberculosis Patients with Medication Compliance Parameters using The Gradient Boosting Algorithm

Rusdah, B Agni Bregastantyo… - 2023 6th International …, 2023 - ieeexplore.ieee.org
According to the National Guidelines for Tuberculosis (TB) Control in Indonesia, patient
discovery begins with finding suspected TB, then physical and laboratory examination …

Optimal Deep Transfer Learning Model for Automated Tuberculosis Classification on Chest Radiographs

K Manivannan, S Sathiamoorthy - … on I-SMAC (IoT in Social …, 2022 - ieeexplore.ieee.org
Tuberculosis (TB) is the fifth leading cause of mortality rates across the world, adding nearly
10 million new cases and 1.5 million deaths annually. As TB caused by the bacteria that …

Tuberculosis Classification Using EfficientNet B3 Deep Learning Architecture

G Kaur, N Sharma, R Chauhan… - 2023 Global …, 2023 - ieeexplore.ieee.org
Tuberculosis is a communicable illness that is transmitted through the inhalation of airborne
pathogens between individuals. The main purpose of this study is to categorize Tuberculosis …

Analysis of Patient Tuberculosis Tenet Death Reason and Prediction in Bangladesh Using Machine Learning

MI Ahmed, R Akter, F Shefaq - … of Emerging Trends and Technologies on …, 2022 - Springer
Tuberculosis disease is one of the world's top infectious diseases that leads to a huge
number of patient death worldwide. Tuberculosis gradually attacks the lungs of the patients …

[PDF][PDF] Research Article Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model

O Hrizi, K Gasmi, IB Ltaifa, H Alshammari, H Karamti… - 2022 - academia.edu
Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …

[PDF][PDF] Stochastic Learning-Based Artificial Neural Network Model for an Automatic Tuberculosis Detection System Using Chest X-Ray Images

NP Sharma, N PATHAK - researchgate.net
Tuberculosis (TB) is still one of the most serious health issues today with a high fatality rate.
While attempts are being made to make primary diagnosis more reliable and accessible in …

[PDF][PDF] DEEP LEARNING AND ARTIFICIAL IMMUNE SYSTEM BASED SOFTWARE DEFECT DETECTION

K Chourasia, H Mathur - romanpub.com
Quality in software is a crucial element, given the rising demand. As software designs grow
in complexity, the likelihood of encountering defects increases. Testers play a key role in …

Intelligent System for Diagnosis of Pulmonary Tuberculosis Using XGBoosting Method

S Sebhatu, Pooja, P Nand - International Conference on Ubiquitous …, 2021 - Springer
Tuberculosis (TB) is a disease of human infection that affects the respiratory and other body
systems. The WHO reported an average incidence of TB per annum of 2.2 million new cases …

[PDF][PDF] Treinamento e avaliação de um modelo SVM para auxiliar no resultado do tratamento da tuberculose.

PT Endo - researchgate.net
A tuberculose foi por muitos anos, até a chegada da COVID-19, a principal causa de morte
por agente infeccioso no mundo (WHO, 2021). Apesar dos esforços da Organização …

[PDF][PDF] Avaliação de modelos de machine learning utilizando a base de dados nacional do SINAN-TB de 2001 a 2019 para auxiliar no prognóstico da tuberculose.

PT Endo - researchgate.net
MOSTRA DE EXTENSÃO, INOVAÇÃO DE PESQUISA–POLI/UPE2021 utilizaram a métrica
F1-macro para analisar o desempenho geral dos modelos. A métrica F1-macro é invariante …