Dataset
clinical-trials-patient-graphs
The clinical-trials-patient-graphs dataset is a small tabular collection of patient-level clinical records distributed in Parquet format by the 2001jdev publisher. It organizes entities and relations extracted from trial data into structured rows spanning 2021 through 2023.
Data preview
Dataset card
What this dataset contains
The dataset holds patient-level records from clinical trial documentation, presented as structured entities and the relations between them. It contains 165 rows in total, distributed across splits for 2021, 2022, and 2023, making it suitable for small-scale prototyping rather than population-level analysis.
Structure and fields
Each row is keyed by a patient_id integer and tagged with a year integer, allowing analysts to filter by trial cohort. The entities column holds a string-encoded list of typed nodes such as Person or Value with text and optional codes, while the relations column stores string-encoded edges that link entity ids via predicates like HAS_VALUE, producing a lightweight patient-level knowledge graph representation.
How analysts use it
Because the dataset is tiny and unlabeled for outcomes, its primary use is methodological: testing graph construction, entity-relation extraction pipelines, or evaluating clinical NLP models on a known schema. Investment-relevant applications are limited given the absence of treatment, dosing, or outcome fields, though it can illustrate how trial-level structured data could feed translational research workflows supporting biotech due-diligence models.
Documentation & references 1
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