PATENT CLAIM ANALYSIS

Application Number: 16049787
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["706", "055000"]

Abstract:
The invention provides an intelligent auxiliary diagnosis method, system and machine-readable medium. The method comprises: calculating relevancy between keywords of chief complaint in a current medical record and in a standard medical record and Latent Semantic Indexing (LSI) themes to acquire a set of vectors for current medical record-theme relevancy and a set of vectors for standard medical record-theme relevancy; calculating the similarity between the chief complaint in a current medical record and the chief complaint in a standard medical record, based on the set of vectors for current medical record-theme relevancy and the set of vectors for standard medical record-theme relevancy; and determining a corresponding standard medical record, according to the similarity. The invention can be used for preliminary determination of a current medical record and intelligent diagnosis, thereby greatly reducing the pressure on hospital staff and improving patient experience.

Claim (Index 3):
The method of  claim 2 , wherein the step of determining a target standard medical record, according to a result of ranking and feedback information based on the standard medical record, further comprises:\n comparing ordered standard questions in each standard medical record with the feedback information based on the standard medical record starting from a standard medical record with the highest similarity; and replacing a plurality of standard medical records in sequence based on comparison of relevancy until the comparison of ordered standard questions in the plurality of standard medical records are completed.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.39062
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15804033', '12861563', '12430348', '14977824', '10300284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3892541251872533
- 35 USC 102 Novelty (BERT): 0.4909623019208097
- Combined Prediction Score: 0.3994249428606089
- Mean Citation Score: 168.066142
- Max Citation Score: 195.68677
- Similarity Product: 128.76005028024315

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

Dataset: test