A space for my thesis, scientific articles, article analyses, and notes on health, nutrition, and the use of data science in research.
Each entry clearly presents the problem, method, and current status. For published articles, the official journal link and a PDF version are also available.
European Journal of Medical ResearchDOI: 10.1186/s40001-026-04059-8
A systematic review and meta-analysis of machine learning models applied to cardiac imaging data for predicting outcomes related to percutaneous coronary intervention (PCI), with a focus on CCTA and SPECT.
PublishedFrontiers in NutritionDOI: 10.3389/fnut.2024.1390751
An evaluation and comparison of the long-term effectiveness of five lifestyle interventions for people with eating disorders using machine learning models and clinical data.
PublishedA master's thesis using data from 306 adults with overweight or obesity, comparing four algorithms in a combined model and in separate models for women and men.
CompletedAn article being developed from the thesis results, focusing on differences in model performance, feature importance, and prediction limitations for women and men.
Article in preparationA narrative review of research on predicting nutrient deficiencies and drug-induced malnutrition, from metformin-related vitamin B12 deficiency to medications affecting magnesium and cachexia.
Literature review in progressPeer-review records are listed while respecting the confidentiality of the review process.
Invited to complete a scientific review with a focus on machine learning and artificial intelligence. To protect confidentiality, the title and details of the reviewed manuscript are not disclosed.
I am open to research collaborations, data analysis projects, and automation ideas, starting with a careful look at the problem and a practical path forward.
