Extracting drug indication information from structured product labels using natural language processing

Extracting drug indication information from structured product labels using natural language processing

OBJECTIVE To extract drug indications from structured drug labels and represent the information using codes from standard medical terminologies. MATERIALS AND METHODS We used MetaMap and other publicly available resources to extract information from the indications section of drug labels. Drugs and indications were encoded by RxNorm and UMLS identifiers respectively. A sample was manually rev...

Extracting Phenotypic Information from the Literature via Natural Language Processing

In recent years, the amount of biomedical knowledge has been increasing exponentially. Several Natural Language Processing (NLP) systems have been developed to help researchers extract, encode and organize new information automatically from textual literature or narrative reports. Some of these systems focus on extracting biological entities or molecular interactions while others retrieve and e...

Natural language processing methods for extracting information from mathematical texts

Coreference Resolution for Structured Drug Product Labels

FDA drug package inserts provide comprehensive and authoritative information about drugs. DailyMed database is a repository of structured product labels extracted from these package inserts. Most salient information about drugs remains in free text portions of these labels. Extracting information from these portions can improve the safety and quality of drug prescription. In this paper, we pres...

FASTUS: Extracting Information from Natural- Language Texts

FASTUS is a system for extracting information from natural language text for entry into a database and for other applications. It works essentially as a cascaded, nondeterministic finite-state automaton. There are five stages in the operation of FASTUS. In Stage 1, names and other fixed form expressions are recognized. In Stage 2, basic noun groups, verb groups, and prepositions and some other ...