Dataset Information

Exploration of Artificial Intelligence Use with ARIES in Multiple Myeloma Research.

ABSTRACT: Natural language processing (NLP) is a powerful tool supporting the generation of Real-World Evidence (RWE). There is no NLP system that enables the extensive querying of parameters specific to multiple myeloma (MM) out of unstructured medical reports. We therefore created a MM-specific ontology to accelerate the information extraction (IE) out of unstructured text. Our MM ontology consists of extensive MM-specific and hierarchically structured attributes and values. We implemented "A Rule-based Information Extraction System" (ARIES) that uses this ontology. We evaluated ARIES on 200 randomly selected medical reports of patients diagnosed with MM. Our system achieved a high F1-Score of 0.92 on the evaluation dataset with a precision of 0.87 and recall of 0.98. Our rule-based IE system enables the comprehensive querying of medical reports. The IE accelerates the extraction of data and enables clinicians to faster generate RWE on hematological issues. RWE helps clinicians to make decisions in an evidence-based manner. Our tool easily accelerates the integration of research evidence into everyday clinical practice.

SUBMITTER: Loda S

PROVIDER: S-EPMC6678083 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Exploration of Artificial Intelligence Use with ARIES in Multiple Myeloma Research.

Loda Sophia S Krebs Jonathan J Danhof Sophia S Schreder Martin M Solimando Antonio G AG Strifler Susanne S Rasche Leo L Kortüm Martin M Kerscher Alexander A Knop Stefan S Puppe Frank F Einsele Hermann H Bittrich Max M

Journal of clinical medicine 20190709 7

<h4>Background</h4>Natural language processing (NLP) is a powerful tool supporting the generation of Real-World Evidence (RWE). There is no NLP system that enables the extensive querying of parameters specific to multiple myeloma (MM) out of unstructured medical reports. We therefore created a MM-specific ontology to accelerate the information extraction (IE) out of unstructured text.<h4>Methods</h4>Our MM ontology consists of extensive MM-specific and hierarchically structured attributes and va ...[more]

PMID: 31324026

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Dataset Information

Exploration of Artificial Intelligence Use with ARIES in Multiple Myeloma Research.

Publications

Exploration of Artificial Intelligence Use with ARIES in Multiple Myeloma Research.

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