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 10):
The method of  claim 9 , wherein the application of the set of analytical techniques to determine the set of microbiome features comprises:\n determination of an initial set of microbiome features based on the microorganism sequence dataset; and application, with the first microbiome characterization module of the set of microbiome characterization modules, of the dimensionality reduction technique on the initial set of microbiome features to determine the set of microbiome features, wherein the dimensionality reduction technique comprises at least one of missing values ratio, principal component analysis, probabilistic principal component analysis, matrix factorization techniques, compositional mixture models, and feature embedding techniques.

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): 0.3057736069579878
- 35 USC 102 Novelty (BERT): 0.5583030426318739
- Combined Prediction Score: 0.3310265505253764
- Mean Citation Score: 444.756854
- Max Citation Score: 483.1308
- Similarity Product: 330.2812927459001

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