Publications by Jose Tamez
DARWIN: Alzheimer's Diagnosis and Feature Decorrelation
Effect of GDSTM-Based Decorrelation on Feature Discovery: The DARWIN Evaluation Here I showcase of to use BSWiMS feature selection/modeling function coupled with Goal Driven Sparse Transformation Matrix (GDSTM) as a pre-processing step to decorrelate highly correlated features. The aim(s) are: To improve model performance by uncovering the h...
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COVID19Mexico
Covid19 En México Este documento muestra una estimación del número de hospitalizados y de muertes debido a COVID-19. Los datos son extraídos de los Datos Abiertos - Dirección General de Epidemiología de la secretaria de salud de México. https://www.gob.mx/salud/documentos/datos-abiertos-152127 Los datos del archivo .csv son importados a R ...
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COVID-19 Patient Survival
Covid19 Survival This document does the analysis of the patient level data set. The data was cloned from :https://github.com/beoutbreakprepared/nCoV2019 on April 2, 2020 Loading the libraries library("FRESA.CAD") repetitions = 300 trainFraction = 0.90 Loading the data Loading the cloned https://github.com/beoutbreakprepared/nCoV2019/tree/maste...
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COVID-19 Diagnosis based on Self Reported Symptoms (coronastatus)
Covid19 Diagnosis COVID-19 Diagnosis based on https://github.com/BustByte/coronastatus The data was downloaded from the standarized coronastatus reports. This is a non-validated model of COVID-19 diagnosis based on self reported sympthoms and covid-19 diagnosis. Do not use this findings for self diagnosis. library(readxl) library("FRESA.CAD") r...
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COVID-19 Probability of Hospital Discharge Based on Symptoms
Covid19 Survival This document does the analysis of the patient level data set. The data was cloned from :https://github.com/beoutbreakprepared/nCoV2019 on April 2, 2020 Loading the libraries library("FRESA.CAD") repetitions = 300 trainFraction = 0.90 Loading the data Loading the cloned https://github.com/beoutbreakprepared/nCoV2019/tree/maste...
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Caret and FRESA.CAD
1 CARET FRESA.CAD Sonar Benchmark We will show hot to integrate caret models into FRESA benchmarking 1.1 The required libraries library("FRESA.CAD") library("mlbench") library(fastAdaboost) library(gbm) library(caret) library(doParallel) cl <- makePSOCKcluster(6) registerDoParallel(cl) 1.2 Sonar Data Set Loading the data from the mlbech...
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SONAR FRESA.CAD
1 Simple Cross-Validation of Common ML Methods This tutorial will guide users on how to use FRESA.CAD to evaluate the performance of binary classifiers on the Sonar Data Set. 1.1 The required libraries library("FRESA.CAD") library("mlbench") library("fastAdaboost") library("gbm") 1.2 SONAR Data Set I will use the SONAR dataset from the mlbe...
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COVID-19 Survival Prediction
Covid19 Survival This document does the analysis of the patient level data set. The data was cloned from :https://github.com/beoutbreakprepared/nCoV2019 on April 2, 2020 Loading the libraries library("FRESA.CAD") Loading the data I curated the original data: https://github.com/beoutbreakprepared/nCoV2019/tree/master/latest_data/latestdata.csv Th...
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COVID-19 Forcasting
Forcasting COVID-19 Deaths A simple model for the estimation of the maximum percentage of deaths due to COVID-19. NOTE: I’m not an epidiomiologist. The prediction based on a simple logistic model and: 70% of SARS-CoV-2 exposure 10% Infection efficacy ie. 10% of the exposure subjects turns into a Covid-19 case 1% of Mortality For each country ...
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COVID-19 Country Peaks
Forecasting COVID-19 Deaths A simple model for the estimation of the maximum percentage of deaths due to COVID-19 ============================================================================ NOTE: I am not an epidemiologist. The predictions are not official, nor backed up by any organization nor government. I am providing them to get an idea o...
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