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Subjects / keywords: Machine learning; Business; Data processing

Automático (Machine Learning). El objetivo del machine learning es que los sistemas informáticos sean capaces de aprender a partir de los datos, emulando de esta manera las capacidades humanas. El Aprendizaje Profundo ...

Subjects / keywords: Ordenadores; Lenguajes; Python

Subjects / keywords: Medicina

Subjects / keywords: Ordenadores; Inteligencia Artificial; General

Background: Climate change increasingly shapes development outcomes, necessitating its integration into evaluation processes. In Africa, recurrent droughts, floods and temperature extremes disrupt progress across sector...

Abstract Background Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to its nonspecific clinical presentation and similarities with other types of pericardial effusion. The available ...

Cadmium poses severe threats to ecosystems and human health due to its high toxicity and bioaccumulative nature. The global regulatory limits for Cd are often low at 0.1-0.6 mg kg−1, which is 1 to 2 orders of magnitude...

Timely access to public healthcare is fundamental human rights and a key measure of social equity. In Thailand, transportation barriers especially in rural and underserved areas continue to restrict equitable access to m...

Abstract Background Surgical site infections (SSIs) continue to exert a substantial burden on healthcare systems, particularly in resource-limited settings where they contribute to prolonged hospitalizations, escalated c...

Abstract Objective Machine learning-based approaches were applied to explore prognostic risk factors for patients with tuberculous meningitis (TBM) and develop a risk prediction model for their 1-year post-treatment poor...

ObjectiveThis study aimed to identify core inflammatory biomarkers through machine learning approaches and develop an accessible online risk calculator to predict pulmonary consolidation in children with Chlamydia pneumo...

Abstract This study investigates whether machine learning effectively processes high-dimensional data, a challenging task for traditional predictive models, to optimize portfolio strategies. Using daily data from Decembe...

ObjectiveCongenital Hypogonadotropic Hypogonadism (CHH) is a rare disease with an extremely low incidence, and the outcomes of fertility induction therapy in CHH patients exhibit significant interindividual heterogeneity...

Subjects / keywords: Education; Data processing; Academic achievement; Machine learning

BackgroundOpioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated risk rely on imprecise rule-based criteria that misclassify patients’...

The current study uses machine learning and explainable AI to predict Bedaquiline (BDQ) resistance in Mycobacterium tuberculosis clinical isolates and also predicts 15 new BDQ-resistant genes from whole-genome sequencing...

Abstract Background Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from their intermediate counterpart, atypical cartilaginous tumors (ACT). Histologically, tumor distinction of these ...

Tesis Energía y Ambiente (maestría) - Instituto Tecnológico de Buenos Aires, Buenos Aires - Karlsruher Institut für Technologie, Karlsruhe, 2023 This thesis develops a machine learning framework for the spatial disag...

La capacidad de utilizar algoritmos para resolver problemas del mundo real es una habilidad imprescindible para cualquier desarrollador o programador. Este libro le ayudará no solo a desarrollar la capacidad de seleccio...

El libro está dirigido aquellos lectores que estén trabajando en proyecto relacionados con big data y busquen identificar las características de una solución de Big Data, los datos asociados a estas soluciones, la in...

Si está listo para aventurarse más allá de los conceptos introductorios e indagar en el aprendizaje automático, en el aprendizaje profundo y en la inteligencia artificial (IA), el formato de preguntas y respuestas qu...

El Machine Learning representa una herramienta importante para la exploración y la extracción de conocimiento. Su principal objetivo es construir modelos que permitan describir posibles patrones estructurales en la inf...

El aprendizaje automático está invadiendo el mundo del software. Si quieres entender y trabajar la vanguardia del aprendizaje automático, las redes neuronales y el aprendizaje profundo, esta segunda edición del bests...