Tuberculosis disease diagnosis based on an optimized machine learning model
Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …
collaborative nature of the diagnostic process, computer technology provides important …
Considerations for the use of machine learning extracted real-world data to support evidence generation: a research-centric evaluation framework
Simple Summary Many patient clinical characteristics, such as diagnosis dates, biomarker
status, and therapies received, are only available as unstructured text in electronic health …
status, and therapies received, are only available as unstructured text in electronic health …
Software fault prediction using an RNN-based deep learning approach and ensemble machine learning techniques
E Borandag - Applied Sciences, 2023 - mdpi.com
Alongside the modern software development life cycle approaches, software testing has
gained more importance and has become an area researched actively within the software …
gained more importance and has become an area researched actively within the software …
Stochastic learning-based artificial neural network model for an automatic tuberculosis detection system using chest x-ray images
S Urooj, S Suchitra, L Krishnasamy, N Sharma… - IEEE …, 2022 - ieeexplore.ieee.org
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 …
While attempts are being made to make primary diagnosis more reliable and accessible in …
Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
Objective This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …
Developing a fake news identification model with advanced deep languagetransformers for Turkish COVID-19 misinformation data
The massive use of social media causes rapid information dissemination that amplifies
harmful messages such as fake news. Fake-news is misleading information presented as …
harmful messages such as fake news. Fake-news is misleading information presented as …
Early diagnosis for dengue disease prediction using efficient machine learning techniques based on clinical data
B Abdualgalil, S Abraham… - Journal of Robotics and …, 2022 - journal.umy.ac.id
Yemen. Although early detection is critical to reducing dengue disease deaths, accurate
dengue diagnosis requires a long time due to the numerous clinical examinations. Thus, this …
dengue diagnosis requires a long time due to the numerous clinical examinations. Thus, this …
[HTML][HTML] Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis
Summary Tuberculosis (TB) afflicted 10.6 million people in 2021, and its global burden is
increasing due to multidrug-resistant TB (MDR-TB) and extensively resistant TB (XDR-TB) …
increasing due to multidrug-resistant TB (MDR-TB) and extensively resistant TB (XDR-TB) …
Machine-learning model for classification of the prognosis of tuberculosis using real data from brazil
MHLF Da Silva, VDS Sampaio… - 2023 18th Iberian …, 2023 - ieeexplore.ieee.org
Tuberculosis (TB) was for many years, until the arrival of COVID-19, the world's leading
cause of death from an infectious agent. Despite efforts by the World Health organization …
cause of death from an infectious agent. Despite efforts by the World Health organization …
[HTML][HTML] Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis
Tuberculosis (TB) afflicts over 10 million people every year and its global burden is
projected to increase dramatically due to multidrug-resistant TB (MDR-TB). The Covid-19 …
projected to increase dramatically due to multidrug-resistant TB (MDR-TB). The Covid-19 …