Efeitos da duração do diabetes mellitus tipo I sobre a placenta e o desenvolvimento fetal em modelo de camundongos.

Sanches, Juliane Cristina Trevisan

doi:10.11606/t.42.2014.tde-19112014-152904

Cited by 1 publication

(1 citation statement)

References 78 publications

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“…Diabetes mellitus, commonly referred to as diabetes, is a chronic metabolic disease characterized by persistent hyperglycemia, i.e., elevated blood glucose (sugar) levels [49]. This condition arises due to a deficiency in the production or action of insulin produced by the pancreas, a hormone essential for glucose metabolism [51].…”

Section: Diabetesmentioning

confidence: 99%

Comparison and selection of machine learning algorithms for diabetes prediction: An exploratory quantitative study based on medical data analysis

Santos

2024

Multidisciplinary Perspectives: Integrating Knowledge

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The global prevalence of diabetes is increasing at an alarming rate, making early and accurate detection a critical area of interest. This study employs Machine Learning techniques to predict the incidence of diabetes in a population of women from the Pima heritage, known for their predisposition to the disease. Using a database of diagnostic measures, multiple algorithms were applied, including Support Vector Machines (SVM), Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Decision Trees, and Random Forest, to develop predictive models. Principal Component Analysis (PCA) was implemented for dimensionality reduction and highlighting of key diagnostic variables, optimizing algorithm performance. The results highlighted the superior- ity of the Random Forest, which showed higher accuracy and precision, suggesting its viability as a clinical diagnostic tool. This study contributes to the emerging field of artificial intelligence ap- plications in health, providing valuable insights for the prevention and early treatment of diabetes.

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Section: Diabetesmentioning

confidence: 99%

Comparison and selection of machine learning algorithms for diabetes prediction: An exploratory quantitative study based on medical data analysis

Santos

2024

Multidisciplinary Perspectives: Integrating Knowledge

View full text Add to dashboard Cite

show abstract

Efeitos da duração do diabetes mellitus tipo I sobre a placenta e o desenvolvimento fetal em modelo de camundongos.

Abstract: Título da Dissertação:Efeitos da duração do diabetes mellitus tipo 1 sobre ciclo estral, a placenta e o desenvolvimento fetal em camundongos.

Cited by 1 publication

References 78 publications

Comparison and selection of machine learning algorithms for diabetes prediction: An exploratory quantitative study based on medical data analysis

Comparison and selection of machine learning algorithms for diabetes prediction: An exploratory quantitative study based on medical data analysis

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