How to Train and Validate Clinical Prediction Models: Step-by-Step Guide for Healthcare Professionals
Practical Guide with R for Developing Robust Predictive Models in Clinical Settings
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About Me
Hello, I’m Maicel Eugenio Monzón Pérez. I’m a physician, biostatistician, and data scientist, passionate about transforming health research through science, statistics, and artificial intelligence. I graduated as a General Practitioner in 2003 and later pursued a Master’s in Health Informatics, the Biostatistics specialty (first and second degree), and finally a PhD in Medical Sciences at the University of Medical Sciences of Havana. Throughout my career, I have worked on the design and analysis of biomedical research, with a particular focus on clinical trials and the application of machine learning models to solve real-world problems in health. I also enjoy programming in R and Python, creating tools that enhance research efficiency and improve clinical decision-making. Today, I share my experience as an Assistant Professor at the National School of Public Health and as a Clinical Trial Reviewer at the Center for State Control of Medicines, Equipment, and Medical Devices. My purpose is clear: to strengthen a more robust, innovative, and evidence-based health system, bringing together medicine, statistics, and technology to generate real impact in people’s lives.
Interests
- Biostatistics
- Research Methodology
- Data Science
- Artificial Intelligence
- Clinical Trials
- Programming in R and Python
Education
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General Practitioner (Basic Medical Degree)
University of Medical Sciences of Villa Clara
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Master’s in Health Informatics
Center for Cybernetics Applied to Medicine (CECAM)
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Specialist in Biostatistics
National School of Public Health
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PhD in Medical Sciences
University of Medical Sciences of Havana
📚 My Research
Mi investigación abarca disímiles temas 📚, desde el diseño y análisis de ensayos clínicos y estudios epidemiológicos 🔍, hasta el desarrollo y validación de modelos predictivos para enfermedades infecciosas y sistemas de triaje 🧠. Busco integrar conocimientos de bioestadística, epidemiología y modelado matemático para generar resultados de alto impacto 💭.
Soy un entusiasta de la programación en R y Python, el análisis de datos, el aprendizaje automático y la Inteligencia Artificial 🤖. Mi compromiso es con el desarrollo de la bioestadística y la investigación que transforman la salud pública a través de enfoques innovadores y colaborativos y para mejorar la calidad de vida de las personas.
Siempre estoy abierto a colaborar en proyectos que impulsen los límites de la ciencia y la tecnología en el ámbito de la salud.
Featured Publications
Recent Publications
(2023).
Estado en la investigación sobre modelos de predicción de la severidad en confirmados de la Covid-19..
Revista Habanera, 1(1).
(2020).
Modelo SIR para epidemias: Persistencia en el tiempo y nuevos retos en la era de la Informática y las pandemias..
Rev haban cienc méd.
(2020).
Plagio en artículos de investigación en revistas biomédicas cubanas. 2016.
Rev haban cienc méd.
Recent & Upcoming Talks
Recent News
Writing Science or Rewriting Reality?
IMRaD is the publication standard, but it need not dictate the writing process. This post argues for a ‘reverse’ writing strategy—from findings back to the introduction—as a method to enhance honesty and clarity, distinguishing it from HARKing and aligning narrative with genuine scientific discovery.