Medical Entity Extraction From Patient Data
First Claim
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1. A system for extracting members of a medical entity class from patient data, the system comprising:
- an input operable to receive identification of at least a first member of the medical entity class;
a processor operable to extract at least a second member of the medical entity class from the patient data, the extraction being a function of the first member, the extraction being a semi-supervised process operable to identify the second member from the patient data comprising data for a plurality of patients, at least some of the data subjected to the semi-supervised process being free text with medical information related to symptoms, medication, test result, condition, disease, or combinations thereof; and
a display operable to output a listing of members of the medical entity class, the members comprising the at least first member and the at least second member extracted by the processor as a function of the first member.
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Abstract
Members of a medical entity class are extracted from patient data. A semi-supervised approach uses one or more initial medical terms such as terms from an ontology, for a given category or medical canonical entity. A larger set of medical terms is extracted from the medical information. In one example, the extraction is performed using lexical surface form features, rather than syntactical parsing.
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Citations
21 Claims
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1. A system for extracting members of a medical entity class from patient data, the system comprising:
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an input operable to receive identification of at least a first member of the medical entity class; a processor operable to extract at least a second member of the medical entity class from the patient data, the extraction being a function of the first member, the extraction being a semi-supervised process operable to identify the second member from the patient data comprising data for a plurality of patients, at least some of the data subjected to the semi-supervised process being free text with medical information related to symptoms, medication, test result, condition, disease, or combinations thereof; and a display operable to output a listing of members of the medical entity class, the members comprising the at least first member and the at least second member extracted by the processor as a function of the first member. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. In a computer readable storage medium having stored therein data representing instructions executable by a programmed processor for identifying a set of words or phrases for a canonical entity, the instructions comprising:
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receiving at least one initial word or phrase; identifying the set with lexical surface form features from free text without syntactical parsing of the free text, the identifying being a function of the at least one initial word or phrase; and outputting the set. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method for extracting members of a medical canonical entity from patient data including free text, the method comprising:
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receiving the free text as natural language information from medical professionals for a plurality of patients, the information including a misspelling, non-grammatical format, different formats, or combinations thereof; receiving one or more seed medical terms, the one or more seed medical terms comprising one or more members of the medical canonical entity; determining context for the one or more seed medical terms in the free text, the determining being free of syntactical parsing; identifying additional medical terms as a function of the context in the free text; and generating a list of the members of the medical canonical entity as at least some of the additional medical terms and the seed medical terms. - View Dependent Claims (18, 19, 20, 21)
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Specification