PATENT CLAIM ANALYSIS

Application Number: 16047840
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["702", "019000"]

Abstract:
Embodiments of a method and/or system for characterizing one or more microorganism-related conditions can include: determining a microorganism dataset associated with a set of subjects; and with a set of microsome characterization modules, applying analytical techniques to perform a characterization process for the one or more microorganism-related conditions based on the microorganism dataset.

Claim (Index 16):
The method of  claim 9 , wherein the microorganism-related condition model is generated based on, prior to the application of the set of analytical techniques to determine the microbiome features, filtering of the microorganism sequence dataset by at least one of: a) removing first sample data corresponding to first sample outliers of the set of samples, wherein the first sample outliers are determined by at least one of principal component analysis, a dimensionality reduction technique, and a multivariate methodology; b) removing second sample data corresponding to second sample outliers of the set of samples, wherein the second sample outliers are determined based on corresponding data quality for the set of microbiome features; and c) removing a microbiome feature from the set of microbiome features based on a sample number for the microbiome feature failing to satisfy a threshold sample number condition, wherein the sample number corresponds to a number of samples associated with high quality data for the microbiome feature.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 95.0
- Lexical Diversity: 1.46154
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15845190', '15844360', '15497072', '15844139', '15997654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.306632358093488
- 35 USC 102 Novelty (BERT): 0.5560273224992369
- Combined Prediction Score: 0.3315718545340629
- Mean Citation Score: 444.756854
- Max Citation Score: 483.1308
- Similarity Product: 317.38840046596533

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

Dataset: test