## Recently Published

##### COVID-19 Country Peaks

Country Peaks Estimations of COVID-19

##### COVID19Mexico

Predictions of New Hospitalizations and Fatalities in Mexico

##### COVID-19 US Peaks

Estimation of Death Peaks for the United States

##### COVID-19 Patient Survival

Estimating the probability of Discharge from Hospital

##### COVID-19 Forcasting

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

##### COVID-19 Diagnosis based on Self Reported Symptoms (coronastatus)

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

##### COVID-19 Probability of Hospital Discharge Based on Symptoms

Estimating the probability of Hospital Discharge based on Patient Symptoms

##### COVID-19 Survival Prediction

Models and features that predict death from COVID-19. Diabetes, hypertension, and dyspnea.

##### Caret and FRESA.CAD

Benchmarking Caret-optimized classifiers with FRESA.CAD

##### SONAR FRESA.CAD

Testing Boosting with FRESA.CAD
ADA boost, Gradient Boost, RF, LDA, QDA, KNN, KNN-BSWiMS

##### Cross-Validation Tutorial with FRESA.CAD

Gradient Boost, Ada Boost, KNN, Random Forest, LASSO, SVM, LDA, QDA, Logistic Regression, RPART.
Blanced, Proportional, Boostraping Cross-Validation

##### Prostate Cancer

FRESA.CAD Benchmarking the prostate cancer data set

##### FRESA.CAD Filters

Evaluation of Filters on a Logistic Regression Fit: IDI,NRI,Kendall, T-test,wilcoxon, etc....

##### All FRESA.CAD Classifiers

Classifiers that have FRESA.CAD interface for random cross-validation

##### Benchmark Sonar

FRESA.CAD Benchmarking

##### Bootstrap Validation ML Methods with FRESA.CAD

Comparing several ML methods on the DIABETES dataset

##### Repeated_Cross_Validation

The use of FRESA.CAD Cross-validation function and FRESA.CAD binary benchmark to compare ML methods.

##### ARCENE Update

Binary Classification Benchmarking with the ARCENE dataset

##### ADABOOST Comparison

Comparing ADABOOST vs Other Common classifiers

##### Comparing Binary Classifications

Ada Boost and Hybrid Learning with FRESA.CAD benchmark

##### Colon Cancer Update

Benchmarking Classifiers

##### BRCA Recurence Signatures

Genes associated with BRCA recurrence

##### Stage C Prostate Cancer

FRESA.CAD benchmark on stagec prostate cancer data set

##### MPG

FRESA.CAD on Milles per Galon Dataset

##### White_wine_Quality

FRESA.CAD benchmarking Classification models on the White Wine Dataset

##### Wine Quality

Benchmarking Ordinal Algorithms using FRESA.CAD

##### FRESA.CAD Stage C Prostate Cancer

Use of the benchmark function for the evaluation of classification algorithms.

##### Ordinal OA KL Scores

Predicting KL Scores using quantitative JSW OAI measurements

##### VLBW and FRESA.CAD

Ordinal Modeling of the Low Birth Weight data set

##### OA KL Modeling

KL Score modeling with FRESA.CAD

##### Body Fat

DEXA Body Fat estimation from anthropometric measurement

##### SUPPORT

"Data obtained from http://biostat.mc.vanderbilt.edu/DataSets".

##### Prostate Benchmark

Benchmarking B:SWiMS, LASSO, SVM, RF

##### Leukemia Benchmark

Benchmark of classifiers and Feature Selection: B:SWiMS, LASSO, Random Forest and SVM with FeaLect

##### Lymphoma Benckmark

Lymphoma Benchmark with B:SWiMS, SVM, RF and SVM

##### Radiomics BRCA: Mammogram-based ONCOTYPE Risk prediction

Prediction of ONCOTYPE DX from Radiomics Analysis of Mammograms

##### Alzheimer´s ADAS prediction

Predicting ADAS13 from MRI's Structural quantitative analysis

##### ARCENE Benchmark

FRESA.CAD´s B:SWiMS approach is compared to SVM, RF and LASSO on the ARCENE data set

##### Colon FRESA.CAD

Colon Benchmark: BSWIMS,SVM,LASSO and RF

##### Wisconsin Breast Cancer Data Set

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.

##### Sonar Data Set Analysis with FRESA.CAD

Benchmarking FRESA.CAD with the SONAR data set.

##### MADELON

FRESA.CAD Madelon and SVM

##### FRESA.CAD tutorial

Example of the use of FRESA.CAD to find and analyze models

##### ARCENE

FRESA:CAD on the ARCENE data set

##### BRCA Recurrence with Logit Models and Correlation Signatures

Risk Models of Breast Cancer Recurrence using FRESA.CAD

##### Breast Cancer: Lung metastases

Predicting Survival

##### BRCA Logit

BRCA recurrence with logistic models

##### Prostate Cancer FRESA:CAD

Analysis of the prostate cancer DB

##### Lymphoma FRESA.CAD

BSWIMS test on lymphoma data set

##### OA Outcomes Models

Prediction of KL scores and TKR using X-Ray Quantitative Image assessments Data form OAI

##### Adjusting Longitudinal Data: Data from the OAI

This document shows how to adjust longitudinal data to site bias and anthropometric differences

##### Breast Cancer Signatures

Scrip showing the use of FRESA.CAD for the creation and validation of breast cancer signatures