PATENT CLAIM ANALYSIS

Application Number: 16252664
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "128000"]

Abstract:
A method includes determining, with a computer implemented classifier, a health state of tissue interest of a subject in at least one pair of images of the subject based on a predetermined set of longitudinal features of the tissue of interest of the subject in the at least one pair of images of the subject. The at least one pair of images of the subject includes a first image of the tissue of interest acquired at a first moment in time and a second image of the tissue of interest acquired at a second moment in time. The first and second moments in time are different moments in time. The method further includes visually displaying indicia indicative of the determined health state.

Claim (Index 11):
The method of  claim 1 , further comprising:\n receiving a training data set of pairs of images of the tissue, wherein each pair includes images acquired at different moment in time, and wherein a first sub-set of the training data includes a first known health state of the tissue and at least a second sub-set of the training data includes at least a second known health state of the tissue; registering the images in the training data set; identifying the tissue of interest in the registered the training data set images; trending a predetermined set of longitudinal features of the tissue of interest in the registered the training data set images; selecting a sub-set of the set of features representing a set of relevant features; and creating and training the classifier based on the training data set and the selected sub-set of the set of features, wherein the classifier includes one or more sub-classifiers.

Metadata:
- Claim Count in Document: 49.0
- Percentile: 99.0
- Lexical Diversity: 2.7234
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15516512', '12441950', '11542477', '14443786', '14077400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3195929083720802
- 35 USC 102 Novelty (BERT): 0.5360494642302116
- Combined Prediction Score: 0.3412385639578933
- Mean Citation Score: 224.84221
- Max Citation Score: 378.21405
- Similarity Product: 341.1851461898357

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

Dataset: test