PATENT CLAIM ANALYSIS

Application Number: 15972121
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["705", "002000"]

Abstract:
The present invention discloses a method and a device for constructing a medical knowledge graph and an assistant diagnosis method. The assistant diagnosis method based on a medical knowledge graph comprises the steps of: acquiring complaint data and examination data of a patient and processing the data to obtain symptom entities and sign entities of the patient; searching, from the medical knowledge graph, disease entities associated with the symptom entities and the sign entities, calculating a posterior probability of each disease entity separately under a set of its corresponding symptom entities and sign entities; and outputting a disease entity with a maximum posterior probability as well as data corresponding to its associated nodes. The present invention provides an intelligent assistant diagnosis for clinical medicine to reduce the work burden of medical staff, relieve the medical pressure and reduce medical accidents.

Claim (Index 10):
A device for establishing a medical knowledge graph, comprising:\n a user dictionary construction unit configured to collect data from a medical database to construct a user dictionary; a data processing unit configured to process electronic medical record data according to the user dictionary and a stop words library; an entity recognition unit configured to carry out named entity recognition on the data processed by the data processing unit; and an association relationship establishment unit configured to establish an association relationship among the entities formed by the entity recognition unit; and a medical knowledge graph construction unit configured to construct a medical knowledge graph based on the entities and the association relationship thereof; the entity recognition unit specifically comprises: a disease entity recognition subunit configured to carry out named entity recognition on the processed diagnosis data to obtain disease entities; a sign entity recognition subunit configured to carry out named entity recognition on the processed health examination data to obtain sign entities; a symptom entity recognition subunit configured to carry out named entity recognition on the processed complaint data to obtain symptom entities; a treatment entity recognition subunit configured to carry out named entity recognition on the processed treatment suggestion data to obtain treatment entities; and a department entity recognition subunit configured to carry out named entity recognition on the processed department information to obtain department entities; an updating unit configured to update the strength of the association relationship between the corresponding entities in real time, based on currently obtained diagnosis results as well as the complaint data and examination data of the patient.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 2.20588
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15804033', '15609800', '11932190', '09522792', '11258507']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1100309247859266
- 35 USC 102 Novelty (BERT): 0.4971064032519114
- Combined Prediction Score: 0.1487384726325251
- Mean Citation Score: 187.202062
- Max Citation Score: 224.83003
- Similarity Product: 142.94428059355496

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test