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 28):
A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of determining a risk of developing diabetes mellitus in an individual, the method comprising:\n a) receiving patient-specific data regarding images of the patient's fingerprints; b) creating a stored image representing at least a portion of the fingerprint based on the received patient-specific data; and c) classifying the risk of developing diabetes mellitus based on the asymmetry in the patient's fingerprint images by conducting a wavelet analysis of characteristic within the patient's fingerprints; and, optionally d) generating a treatment recommendation or risk assessment based on the wavelet analysis value of the fingerprint's asymmetry and the classification of the diabetes mellitus.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 91.0
- Lexical Diversity: 1.25714
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12777955', '13457243', '13457200', '13457225', '14589793']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3206351488279232
- 35 USC 102 Novelty (BERT): 0.4913121269134755
- Combined Prediction Score: 0.3377028466364785
- Mean Citation Score: 171.293132
- Max Citation Score: 173.36706999999996
- Similarity Product: 107.88116591282724

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

Dataset: test