2026-10-14T18:59:13Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33427255 2026-09-17T14:03:56Z category_27043 item_type_3 month_year_09_2026

Artificial intelligence for screening bipolar disorder in electronic health records of patients with affective diagnoses: a diagnostic accuracy study Investigaciones Montserrat (24703945) Behavioural epidemiology Bipolar disorder Artificial intelligence Natural language processing Electronic health records Diagnostic accuracy Screening <p dir="ltr">The items are:</p><ul><li>scripts-and-code: the script, definitions, README, and three prompts.</li><li><code>dataset-full-cohort-n500.csv</code> – the main dataset containing the full cohort of 500 records.</li><li><code>dataset-validation-subset.csv</code> – the validation subset with 100 records used to evaluate the model.</li><li><code>glossary-of-definitions.csv</code> – a glossary listing variable names and their definitions.</li><li><code>README.md</code> – a Markdown document describing the dataset structure, contents, and usage instructions.</li></ul><p><br></p> 2026-09-17T14:03:56Z Dataset Dataset 10.6084/m9.figshare.33427255.v2 https://figshare.com/articles/dataset/Artificial_intelligence_for_screening_bipolar_disorder_in_electronic_health_records_of_patients_with_affective_diagnoses_a_diagnostic_accuracy_study/33427255 CC BY 4.0