PATENT CLAIM ANALYSIS

Application Number: 15997654
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["702", "019000"]

Abstract:
Embodiments of a method and/or system for characterizing one or more sleep-related conditions can include determining a microorganism dataset associated with a set of subjects; and/or performing a characterization process associated with the one or more sleep-related conditions, based on the microorganism dataset, where performing the characterization process can additionally or alternatively include performing a sleep-related characterization process for the one or more sleep-related conditions, and/or determining one or more therapies S 140.

Claim (Index 5):
The method of  claim 2 , wherein determining the microorganism sequence dataset comprises:\n fragmenting the microorganism nucleic acids; and generating amplified microorganism nucleic acids through at least one of a singleplex amplification process and a multiplex amplification process for the fragmented microorganism nucleic acids, based on the first primers corresponding to the first primer type compatible with the genetic target associated with the sleep-related condition; and determining, with a next-generation sequencing system, the microorganism sequence dataset based on the amplified microorganism nucleic acids.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 94.0
- Lexical Diversity: 2.10811
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15845190', '15844360', '15844139', '15068438', '15497072']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.213128846464763
- 35 USC 102 Novelty (BERT): 0.6311841799449647
- Combined Prediction Score: 0.2549343798127832
- Mean Citation Score: 475.51612
- Max Citation Score: 616.0888
- Similarity Product: 529.457738806963

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

Dataset: test