PATENT CLAIM ANALYSIS

Application Number: 15908500
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["506", "012000"]

Abstract:
Provided herein are methods of detecting lipids in humans suspected of having cancer, in particular detecting lipids in samples from a human suspected of having breast or lung cancer.

Claim (Index 13):
The method of  claim 12  further comprising classifying the subject as having likelihood of lung cancer using the Random Forest, LASSO, or a combination thereof, lung cancer based on the Area Under the Receiver Operating Characteristic curve (AUROC) of the predictive model.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 88.0
- Lexical Diversity: 1.40909
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13849885', '13009285', '15801269', '15834879', '15177747']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5680570645320383
- 35 USC 102 Novelty (BERT): 0.506036035126947
- Combined Prediction Score: 0.5618549615915291
- Mean Citation Score: 217.087722
- Max Citation Score: 235.64522
- Similarity Product: 146.75711642648696

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

Dataset: test