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 11):
The method of  claim 1 , wherein the predictive model comprises one or more of dimension reduction method, clustering method, machine learning method, principal components analysis, soft independent modeling of class analogy, partial least squares regression, orthogonal least squares regression, partial least squares discriminant analysis, orthogonal partial least squares discriminant analysis, mean centering, median centering, Pareto scaling, unit variance scaling, orthogonal signal correction, integration, differentiation, cross-validation, or receiver operating characteristic curves.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 88.0
- Lexical Diversity: 1.40909
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13849885', '13009285', '15801269', '15834879', '15177747']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5952099444734431
- 35 USC 102 Novelty (BERT): 0.5161668790942241
- Combined Prediction Score: 0.5873056379355213
- Mean Citation Score: 217.087722
- Max Citation Score: 235.64522
- Similarity Product: 129.30980490245938

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

Dataset: test