PATENT CLAIM ANALYSIS

Application Number: 15765399
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["382", "125000"]

Abstract:
Methods and kits for determining a propensity to develop Type 1 diabetes mellitus (T1DM) and for Type 2 diabetes mellitus (T2DM) in an individual by measuring an asymmetry of at least one captured fingerprint from the individual are described.

Claim (Index 22):
The computer-implemented method of  claim 19 ,  20  or  21 , wherein the classifying comprises:\n measuring an asymmetry between one or more captured fingerprint images from homologous fingers of an individual, wherein the measuring comprises using wavelet analysis to determine a degree of a fluctuating asymmetry; and, \n calculating an amount of asymmetry relative to the amount of asymmetry in a control sample, wherein the calculating comprises setting a boundary value between: i) a degree of asymmetry in homologous fingerprint images collected from a control population; and ii) a degree of asymmetry in the homologous fingerprint image collected from the individual.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 91.0
- Lexical Diversity: 1.25714
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12777955', '13457243', '13457200', '13457225', '14589793']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3469091957933104
- 35 USC 102 Novelty (BERT): 0.4942626361139704
- Combined Prediction Score: 0.3616445398253765
- Mean Citation Score: 171.293132
- Max Citation Score: 173.36706999999996
- Similarity Product: 107.14701330638644

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

Dataset: test