Telehealth · Assessment
Portfolio
Projects & Tutorials
Ongoing research projects, web applications, analytic tools, and open statistics tutorials in R.
Research
Ongoing research projects
Current studies spanning neurodevelopmental assessment, telehealth, and applied AI.
Large language models
Use of Large Language Models among Autistic Adults
Multimodal AI
Multimodal AI for Autism Assessments
Natural language processing
Using Natural Language Processing for Qualitative Analysis
Digital mental health
User Experience with Mental Health iOS Applications for Depression and Anxiety
AI interventions
ADHD Micro-Interventions using Artificial Intelligence
Applications
Web, Shiny & Python applications
Interactive tools for exploring health data and making statistical methods more accessible.
Web Applications 2
Web application
Telehealth Data
A web platform that makes telehealth data easier to explore, visualize, and understand.
- Telehealth
- Data visualization
Web application
Rural Clinical Access Map (R-CAM)
An interactive decision-support map of clinical access across rural communities, developed at the Texas A&M Health Telehealth Institute.
- Rural health
- Geospatial
- Decision support
Shiny Applications 2
R Shiny app
Statistics Made EasyR (SMER)
israelarevalo.shinyapps.io
An interactive R Shiny app that makes common statistical analyses more approachable.
- R
- Shiny
- Statistics
R Shiny app
PoweRanger - Power Analysis Tool
israelarevalo.shinyapps.io
An R Shiny tool for statistical power analysis and sample-size planning.
- R
- Shiny
- Power analysis
Python Applications 1
Python app
App Review Scraper and Sentiment Analysis Tool
sentiment-app-arevalo.streamlit.app
A Python and Streamlit tool that collects app reviews and analyzes their sentiment.
- Python
- Streamlit
- NLP
Teaching
Statistics Tutorials in R
Friendly, step-by-step guides to common analyses in R, hosted on GitHub.
- Importing Data into R (opens in a new tab)
- T-Tests in R (opens in a new tab)
- Correlations in R (opens in a new tab)
- Analysis of Variance in R (opens in a new tab)
- Simple Linear Regressions in R (opens in a new tab)
- Multiple Linear Regressions in R (opens in a new tab)
- Introduction to HLM/Mixed Effects in R (opens in a new tab)
- Introduction to SEM in R Under development
Interested in collaborating on research or tools?
Get in touch