Skin Disease Detection and Treatment Susceptibility by AI

AI for Medical Diagnosis contains three assignments, 1) Chest X-Ray Medical Diagnosis with Deep Learning, 2) Evaluation of Diagnostic Models, 3) Brain Tumor Auto-Segmentation for Magnetic Resonance Imaging (MRI)

Quantificação do efeito da receita recebida na autodenominação como evangélicos em deputados federais de 2018

🩺 Multi-method ML diagnostic & prognostic classifier using ensemble learning (RF, SVM, XGBoost, KNN, MLP) with permutation testing, feature selection, and profile ranking

This project focuses on analyzing and comparing the performance of SVM, Random Forest, and XGBoost in diagnosing depression based on individual data. The evaluation process incorporates Non-Parametric Statistical Testing, Feature Engineering, Resampling, and Hyperparameter Tuning. The project received a grade of 97/100 in Computational Intelligence

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Ordinal Higher-Order Exploratory General Diagnostic Models for Polytomous Data described by Culpepper and Balamuta (2023) <doi:10.1080/00273171.2021.1985949>.

Consultorias em Estatística Médica e Epidemiologia Clínica. CNPJ:42.154.074/0001-22