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 22):
The method of  claim 21 ,\n wherein determining the set of multi-condition microbiome features comprises applying, with a first microbiome characterization module of the set of microbiome characterization modules, a dimensionality reduction technique to an initial set of microbiome features determined based on the microorganism sequence dataset, wherein the method further comprises determining, with a second microbiome characterization module of the set of microbiome characterization modules, a cross-condition correlation analysis between different conditions of the plurality of microorganism-related conditions, and wherein determining the multi-condition characterization comprises determining the multi-condition characterization based on the cross-condition correlation metric, the set of multi-condition microbiome features, and the sample from the user.

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): 0.3031838535171804
- 35 USC 102 Novelty (BERT): 0.5651721927497579
- Combined Prediction Score: 0.3293826874404382
- Mean Citation Score: 444.756854
- Max Citation Score: 483.1308
- Similarity Product: 369.2849131250381

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