PATENT CLAIM ANALYSIS

Application Number: 15951614
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["706", "015000"]

Abstract:
Systems and methods are disclosed for selecting cohorts. In one implementation, a model-assisted selection system for identifying candidates for placement into a cohort includes a data interface and at least one processing device. The at least one processing device is programmed to access, via the data interface, a database from which feature vectors associated with an individual from among a population of individuals can be derived; derive, for the individual, one or more feature vectors from the database; provide the one or more feature vectors to a model; receive an output from the model; and determine whether the individual from among the population of individuals is a candidate for the cohort based on the output received from the model.

Claim (Index 10):
The model-assisted selection system of  claim 1 , wherein the output received from the model conveys a confidence score, and the determination of whether the at least one individual is a candidate for the cohort is based on a comparison of the confidence score to a predetermined threshold.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 91.0
- Lexical Diversity: 1.98485
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12135972', '13837370', '13803120', '11542397', '15910379']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3982726671685039
- 35 USC 102 Novelty (BERT): 0.4924991115374889
- Combined Prediction Score: 0.4076953116054024
- Mean Citation Score: 153.322968
- Max Citation Score: 162.60548
- Similarity Product: 96.7824234471178

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

Dataset: test