Diego Mazzotti's repositories
PennSleepReportExtraction
Scripts and strategies for extraction of sleep study report data at Penn Medicine Sleep Center
PRVM_868_2023_Materials
Code for the PRVM 868 Biomedical Informatics Driven Clinical Research
OSA_Symptom_Subtypes_LCA_Pipeline
This repository describes an end-to-end pipeline for using latent class analysis (LCA) for identification of subtypes of obstructive sleep apnea (OSA) based on specific symptom questions.
SymptomSubtypes_HypnoLaus
Code for identifying OSA Symptom Subtypes in HypnoLaus
BMIN503_Final_Project
Template repo for Data Science for Biomedical Informatics (BMIN503/EPID600) final project
ccc_materials
Crash Course in Causality Materials
cursobioinfoUNIFESP
Material para o Curso de Bioinformática
AIMAHEAD_Fellowship_Mazzotti
Code repository for AIM-AHEAD Fellowship Study
biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasets
bioinformatics-research-lectures
lecture material for biomedical informatics driven research class
curso_ML_2019
Materiais para o curso de machine learning ministrado na UNIFESP (Dezembro 2019)
datascience-box
Data Science Course in a Box
fitbitScraper
R package to scrape fitbit data
gmapsdistance
Future
hctsa
Highly comparative time-series analysis code repository
HypoxemiaBenchmarkAnalysis
This repository contains the code for the benchmark analysis of different measure of nocturnal hypoxemia and their effect on cardiovascular risk in the Sleep Heart Health Study. This is a collaboration between Diego Mazzotti, Timo Leppänen and Ali Azarbarzin
ireports
RMarkdown Business Reports
luna_channel_standards
Standardization of sleep study channel names
NSRR_BDC_Workflow_pilot
Testing data for establishing BDC Sleep Analysis Standardized Workflow
R-Tools-Google-Cloud-FollowUp
This is a followup of the original document - RStudio and Shiny Server on GCP
Recreare_Shiny_Forms
Shiny App for data collection and storage - Recreare
RStudio-Shiny-Server-on-GCP
The ultimate guide to deploy Rstudio Open Source and Shiny Server Open Source at Google Cloud Platform
SymptomSubtypes_KimR56Clusters
Programs for OSA Symptom Subtype data collection (Jinyoung Kim R56)
workshop-introduction-to-R-and-data
Material for the workshop 'Introduction to R & data'