DIABETES PREDICTION MODEL USING DATA MINING TECHNIQUES

Diabetes prediction model using data mining techniques

Diabetes is the leading cause of death in the world, and it also affects kidney disease, loss of vision, and heart disease.Data mining techniques contribute to health care decisions for accurate disease diagnosis and treatment, reducing the workload of experts.Diabetes prediction is a rapidly expanding field of research.Early diabetes prediction wi

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LA REGULARIZACIÓN DEL «QUINTO AÑO» EN SUPUESTOS DE DELITO FISCAL: ¿UN CASO DE RENUNCIA A LA PRESCRIPCIÓN TRIBUTARIA GANADA?

La regularización tributaria durante el «quinto año» permite Institutionnel - Triathlon Sherbrooke - Femme al contribuyente eludir el castigo por delito fiscal, que en otro caso se aplicaría.Pero dicha regularización se concreta en un ingreso que resulta inexigible desde la óptica estrictamente tributaria, al haber transcurrido el plazo de p

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The contributions of mangroves to physiological health in Ghana: Insights from a qualitative study of key informants

Informative data for public health reform against impacts of unsustainable environmental degradation is fragmented across disciplines, while discreet and spatial evidence is particularly limited for marine and coastal ecosystems.For poor, marginal Female Flag Spade Terminals communities experiencing limitations in health sector interventions, such

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Baidu index-based forecast of daily tourist arrivals through rescaled range analysis, support vector regression, and autoregressive integrated moving average

In the era of big data, Internet search data have become an effective data source for solving social and economic problems, such as tourist arrival prediction.The Internet searches often predate and foretell the RED CLOVER actual travels.It is very meaningful to predict the tourist arrivals in a destination based on the Internet search data.Conside

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