La inteligencia artificial como herramienta para la detección de patrones de inmunodeficiencia en el lupus eritematoso sistémico
I Usategui Martín - 2024 - uvadoc.uva.es
Existe un vínculo entre las enfermedades autoinmunes como el LES y la inmunodeficiencia
primaria, con bases genéticas comunes y manifestaciones clínicas compartidas. Asimismo …
primaria, con bases genéticas comunes y manifestaciones clínicas compartidas. Asimismo …
Machine learning, a new tool for the detection of immunodeficiency patterns in systemic lupus erythematosus
I Usategui, J Barbado, AM Torres… - Journal of …, 2023 - journals.sagepub.com
Systemic lupus erythematosus (SLE) is a complex autoimmune disease that affects several
organs and causes variable clinical symptoms. Early diagnosis is currently the most effective …
organs and causes variable clinical symptoms. Early diagnosis is currently the most effective …
[PDF][PDF] A machine learning model for identifying systemic lupus erythematosus through laboratory information system and electronic medical record
J Du, H Huang, L Pang, N Duan… - Clin Exp Rheumatol …, 2023 - clinexprheumatol.org
Objective Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease. Its
diagnosis poses significant challenges especially at early stages and in atypical cases. The …
diagnosis poses significant challenges especially at early stages and in atypical cases. The …
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records
Abstract Background Although the 2019 EULAR/ACR classification criteria for systemic
lupus erythematosus (SLE) has required at least a positive anti-nuclear antibody (ANA) titer …
lupus erythematosus (SLE) has required at least a positive anti-nuclear antibody (ANA) titer …
Application of machine learning models in systemic lupus erythematosus
F Ceccarelli, F Natalucci, L Picciariello… - International Journal of …, 2023 - mdpi.com
Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease and is extremely
heterogeneous in terms of immunological features and clinical manifestations. This …
heterogeneous in terms of immunological features and clinical manifestations. This …
Early Prediction of Lupus Disease: A Study on the Variations of Decision Tree Models
JKJ Singh, RR Ponnusamy, ECW Ling, LS Chin - 2022 - researchsquare.com
Abstract Systematic Lupus Erythematosus (SLE) is an irreversible autoimmune disease that
has seen to bring a lot of negative effect on the human body. It has become a very …
has seen to bring a lot of negative effect on the human body. It has become a very …
Biomarcadores utilizados para el diagnóstico y pronóstico en lupus eritematoso sistémico
KJ Sancho, GPV Sánchez - Salud, Ciencia y Tecnología, 2023 - revista.saludcyt.ar
Resumen Introducción: Lupus Eritematoso Sistémico o también denominado LES es una
patología catalogada como autoinmune y crónica donde existe una desregulación del …
patología catalogada como autoinmune y crónica donde existe una desregulación del …
Biomarcadores utilizados para el diagnóstico y pronóstico en lupus eritematoso sistémico
KM Jaramillo Sancho - 2023 - repositorio.uta.edu.ec
RESUMEN Introducción: Lupus Eritematoso Sistémico o también denominado LES es una
patología catalogada como autoinmune y crónica donde existe una desregulación del …
patología catalogada como autoinmune y crónica donde existe una desregulación del …
Systemic lupus erythematosus with high disease activity identification based on machine learning
DC Wang, WD Xu, Z Qin, L Fu, YY Lan, XY Liu… - Inflammation …, 2023 - Springer
Objective Clinical evaluation of systemic lupus erythematosus (SLE) disease activity is
limited and inconsistent, and high disease activity significantly, seriously impacts on SLE …
limited and inconsistent, and high disease activity significantly, seriously impacts on SLE …
Original Research Article Can Artificial Intelligence help a clinical laboratory to draw useful information from limited data sets? Application to mixed connective tissue …
D Bertin, P Bongrand, N Bardin - Journal of Autonomous …, 2023 - jai.front-sci.com
Diagnosis is a key step of patient management. During decades, refined decision algorithms
and numerical scores based on conventional statistical methods were elaborated to ensure …
and numerical scores based on conventional statistical methods were elaborated to ensure …