Artificial Intelligence-Based Monitoring Devices for the Identification of Circadian Parameters as Digital Predictive Biomarkers of Neurodegenerative Diseases in Older Adults

This dataset supports the systematic review titled “Artificial Intelligence-Based Monitoring Devices for the Identification of Circadian Parameters as Digital Predictive Biomarkers of Neurodegenerative Diseases in Older Adults” It includes supporting files and structured data related to the methodological quality and reporting transparency of the review. Specifically, the dataset contains: (S1) PRISMA 2020 Checklist: A completed version of the PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist, which was used to guide and document the reporting standards of this systematic review. (S2) MMAT Quality Appraisal Table: A structured table of the 12 included empirical studies, assessed using an adapted version of the Mixed Methods Appraisal Tool (MMAT, 2018). For each study, the following information is documented: MMAT category and checklist responses (S1, S2, 3.1–4.5) This dataset ensures methodological transparency, reproducibility, and alignment with international standards for systematic reviews. It complements the main manuscript, particularly the sections on “Methods,” “Risk of Bias and Quality Assessment,” and “Limitations.”