US 2024/0403555 A1 · SYSTEMS AND METHODS FOR AUGMENTING RARE DISEASE DICTIONARIES

Abstract

Comprehensive and high-quality disease dictionaries are invaluable resources for tasks such as building ontologies, automated relation extraction, text summarization, question answering etc. Such curated resources are useful to clinicians, researchers, and various Biomedical Natural Language Processing tasks. However, these are manually curated and are labor and time intensive, and additionally suffer from lower recall and coverage is also less. Present disclosure provides systems and methods for augmenting rare disease dictionaries, wherein the system retrieves (new) rare diseases terms from medical literature that are related to the given dictionary terms (seed terms) and recommends new terms (or NPs) in a ranked order. This method is useful for rare diseases dictionary augmentation as a significant fraction of the top recommendations are new synonym candidates for dictionary augmentation. The method uses syntactic and semantic similarity measures in combination with efficient nearest neighbor search for efficient retrieval.

Claims20

Dependent claims

A processor implemented method, further comprising:

obtaining, via one or more hardware processors, one or more medical literatures as an input;
extracting, by using at least one of a pattern-based noun phrase (NP) chunking and a n-gram-based NP chunking via the one or more hardware processors, a plurality of NPs from one or more medical literatures;
identifying, via the one or more hardware processors, a plurality of relevant NPs from the plurality of NPs based on a comparison of the plurality of NPs with one or more seed terms comprised in a seed dictionary, wherein the seed dictionary comprises a plurality of records pertaining to one or more rare diseases, and wherein each record from the plurality of records comprises an identifier (ID), a rare disease name, and one or more associated synonyms;
performing, via the one or more hardware processors, a semantic analysis on the plurality of relevant NPs to identify one or more candidate terms for each seed term comprised in the seed dictionary;
and
applying, via the one or more hardware processors, one or more filtering techniques on the one or more candidate terms to obtain one or more augmentation terms.

3 more elements

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

obtaining one or more medical literatures as an input;
extracting, by using at least one of a pattern-based noun phrase (NP) chunking and a n-gram-based NP chunking, a plurality of NPs from one or more medical literatures;
identifying a plurality of relevant NPs from the plurality of NPs based on a comparison of the plurality of NPs with one or more seed terms comprised in a seed dictionary, wherein the seed dictionary comprises a plurality of records pertaining to one or more rare diseases, and wherein each record from the plurality of records comprises an identifier (ID), a rare disease name, and one or more associated synonyms;
performing a semantic analysis on the plurality of relevant NPs to identify one or more candidate terms for each seed term comprised in the seed dictionary;
and
applying one or more filtering techniques on the one or more candidate terms to obtain one or more augmentation terms.

3 more elements

Dependencies are inferred from the claim text.

Systems and methods for augmenting rare disease dictionaries

Life of this patent

Systems and methods for augmenting rare disease dictionaries

Life of this patent

Abstract

Claims20