Country Peaks Estimations of COVID-19
Predictions of New Hospitalizations and Fatalities in Mexico
Estimation of Death Peaks for the United States
Estimating the probability of Discharge from Hospital
Forecasting the expected % of deaths due to COVID-19 I'm not an epidemiologist so don´t believe 100% of the estimations. Models where updated 4/8/2020 with 4/7/2020 data from Kaggle
Ensemble Model of Logit functions for the diagnosis of COVID-19. The model is not valid. It is just a proof of concept of ML for the diagnosis of COVID-19 based on self-reported symptoms and diagnosis
Estimating the probability of Hospital Discharge based on Patient Symptoms
Models and features that predict death from COVID-19. Diabetes, hypertension, and dyspnea.
Benchmarking Caret-optimized classifiers with FRESA.CAD
Testing Boosting with FRESA.CAD ADA boost, Gradient Boost, RF, LDA, QDA, KNN, KNN-BSWiMS
Gradient Boost, Ada Boost, KNN, Random Forest, LASSO, SVM, LDA, QDA, Logistic Regression, RPART. Blanced, Proportional, Boostraping Cross-Validation
FRESA.CAD Benchmarking the prostate cancer data set
Evaluation of Filters on a Logistic Regression Fit: IDI,NRI,Kendall, T-test,wilcoxon, etc....
Classifiers that have FRESA.CAD interface for random cross-validation
Comparing several ML methods on the DIABETES dataset
The use of FRESA.CAD Cross-validation function and FRESA.CAD binary benchmark to compare ML methods.
Binary Classification Benchmarking with the ARCENE dataset
Comparing ADABOOST vs Other Common classifiers
Ada Boost and Hybrid Learning with FRESA.CAD benchmark
Genes associated with BRCA recurrence
FRESA.CAD benchmark on stagec prostate cancer data set
FRESA.CAD on Milles per Galon Dataset
FRESA.CAD benchmarking Classification models on the White Wine Dataset
Benchmarking Ordinal Algorithms using FRESA.CAD
Use of the benchmark function for the evaluation of classification algorithms.
Predicting KL Scores using quantitative JSW OAI measurements
Ordinal Modeling of the Low Birth Weight data set
KL Score modeling with FRESA.CAD
DEXA Body Fat estimation from anthropometric measurement
"Data obtained from http://biostat.mc.vanderbilt.edu/DataSets".
Benchmarking B:SWiMS, LASSO, SVM, RF
Benchmark of classifiers and Feature Selection: B:SWiMS, LASSO, Random Forest and SVM with FeaLect
Lymphoma Benchmark with B:SWiMS, SVM, RF and SVM
Prediction of ONCOTYPE DX from Radiomics Analysis of Mammograms
Predicting ADAS13 from MRI's Structural quantitative analysis
FRESA.CAD´s B:SWiMS approach is compared to SVM, RF and LASSO on the ARCENE data set
Colon Benchmark: BSWIMS,SVM,LASSO and RF
Wisconsin Breast Cancer Data Set analysis using FRESA.CAD Comparison between LASSO, Random Forest, Support Vector Machine (SVM), and the use of FeaLect for feature selection.
Benchmarking FRESA.CAD with the SONAR data set.
FRESA.CAD Madelon and SVM
Example of the use of FRESA.CAD to find and analyze models
FRESA:CAD on the ARCENE data set
Risk Models of Breast Cancer Recurrence using FRESA.CAD
BRCA recurrence with logistic models
Analysis of the prostate cancer DB
BSWIMS test on lymphoma data set
Prediction of KL scores and TKR using X-Ray Quantitative Image assessments Data form OAI
This document shows how to adjust longitudinal data to site bias and anthropometric differences
Scrip showing the use of FRESA.CAD for the creation and validation of breast cancer signatures