[PDF][PDF] Modelos de inteligência computacional para apoio a triagem de pacientes e diagnóstico clínico de tuberculose pulmonar

LVC Cascao - Universidade Federal do Rio de Janeiro, 2011 - objdig.ufrj.br
Neste capıtulo, será apresentada a doença em estudo, trazendo na seçao 2. 1 um
panorama sobre a TB no mundo. Na seçao 2.2 ser ao abordados os fatores de risco …

[PDF][PDF] Computational Models for Diagnosing Tuberculosis: A Systematic Review

TO Ogunbodede, BA Akinnuwesi, BS Aribisala - 2018 - sciencejournal.lasucomputerscience …
Introduction: Tuberculosis (TB) is an infectious disease caused by the bacterium
Mycobacterium tuberculosis. It kills about 1.5 million people per year and about 95% of its …

[PDF][PDF] Bio-sensored Diagnostic Kit for Detecting Tuberculosis Using Artificial Intelligence Through Neural Networks

S Tamilselvi, NS Kumar, S Lavanya, K Hariprasath… - 2020 - pdfs.semanticscholar.org
The advancement and well-developed technologies in global medical eld, tuberculosis
remains a major health problem. To solve the problem of tuberculosis, arti cial intelligence …

ARAŞTIRMALARDA KARAR SÜRECİ VE BAYES TEORİMİ

S YÜKSEL, Ö EROĞLU, S YÜKSEL - Journal on Mathematic …, 2018 - ejons.org
Özet Bayes teoremi bilimsel araştırmalarda ve özellikle de hastanın durumunu netleştirmede
karar süreci oldukça önemlidir. Çoğu durumda hastaya doğru tanıyı koymak için yeterli tıbbi …

A Fast Direct Calculation Inference Algorithm

HY Chen, XG Gao, J Xu - … , Software Engineering and Computing Vol. 2 …, 2012 - Springer
At present, among the inference algorithms on Dynamic Bayesian Networks (DBNs), the
advantages of the Direct Calculation Inference (DCI) algorithm is that it needn't perform the …

[引用][C] An ontology-driven approach for structuring scientific knowledge for predicting treatment adherence behaviour: a case study of tuberculosis in Sub-Saharan …

OA Ogundele - 2016

[引用][C] APOIO AO DIAGNOSTICO DE TUBERCULOSIS PLEURAL E MENÍNGEA

ADO Canón - 2015 - Universidade Federal do Rio de …