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 10):
An intelligent auxiliary diagnosis system, comprising:\n one or more non-volatile memories; and a processor, wherein the processor comprises: a first relevancy calculation module configured to calculate relevancy between keywords of chief complaint in a current medical record and Latent Semantic Indexing (LSI) themes to determine a set of vectors for current medical record-theme relevancy; a second relevancy calculation module configured to calculate relevancy between keywords of chief complaint in a standard medical record and the LSI themes to determine a set of vectors for standard medical record-theme relevancy; a similarity calculation module configured to calculate the similarity between the chief complaint in the current medical record and the chief complaint in the 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 a medical record determination module configured to determine a corresponding standard medical record according to the similarity.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.39062
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15804033', '12861563', '12430348', '14977824', '10300284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3606060806660269
- 35 USC 102 Novelty (BERT): 0.4920296810027036
- Combined Prediction Score: 0.3737484406996946
- Mean Citation Score: 168.066142
- Max Citation Score: 195.68677
- Similarity Product: 123.94957923403264

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