PATENT CLAIM ANALYSIS

Application Number: 15971952
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["706", "025000"]

Abstract:
Systems and methods are provided for performing predictive assignments pertaining to genetic information. One embodiment is a system that includes a genetic prediction server. The genetic prediction server includes an interface that acquires records that each indicate one or more genetic variants determined to exist within an individual, and a controller. The controller selects one or more machine learning models that utilize the genetic variants as input, and loads the machine learning models. For each individual in the records: the controller predictively assigns at least one characteristic to that individual by operating the machine learning models based on at least one genetic variant indicated in the records for that individual. The controller also generates a report indicating at least one predictively assigned characteristic for at least one individual, and transmits a command via the interface for presenting the report at a display.

Claim (Index 18):
The medium of  claim 17  wherein:\n the locations of genetic variants are assigned within a category selected from the group consisting of: metabolism, socialization, fitness, perception, physical location in the same gene, physical location on the same chromosome, and pertinence to a specific aspect of health.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.08219
- Patent Class: 706.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14739432', '15489564', '15404052', '14568456', '14465599']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3725414511604388
- 35 USC 102 Novelty (BERT): 0.4801235659640637
- Combined Prediction Score: 0.3832996626408013
- Mean Citation Score: 166.90926799999997
- Max Citation Score: 197.37247
- Similarity Product: 153.13805376410602

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

Dataset: test