PATENT CLAIM ANALYSIS

Application Number: 16152072
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2020-01
Patent Classification: ["703", "002000"]

Abstract:
An exemplary system, method, and computer-accessible medium can include, for example, receiving an original dataset(s), receiving a synthetic dataset(s), training a model(s) using the original dataset(s) and the synthetic dataset(s), and evaluating the synthetic dataset(s) based on the training of the model(s). The model(s) can include a first model and a second model, and the first model can be trained using the original dataset(s) and the second model can be trained using the synthetic dataset(s). The synthetic dataset(s) can be evaluated by comparing first results from the training of the first model to second results from the training of the second model.

Claim (Index 15):
A method for evaluating at least one synthetic dataset, comprising:\n (a) receiving at least one original dataset; (b) generating the at least one synthetic dataset based on the at least one original dataset; (c) training at least one first model using the at least one original dataset; (d) training at least one second model using the at least one synthetic dataset; (e) generating a statistical correlation score based on the at least one synthetic dataset and the at least one original dataset using a computer arrangement, generating an evaluation score by evaluating the at least one synthetic dataset based on the training of the least one first model and the training of the at least one second model, wherein the evaluation score includes (i) a statistical correlation score, (ii) a data similarity score, and (iii) a data quality score; determining a region for the at least one synthetic dataset based on the evaluation score, wherein the region includes one of\n (i) a normal region where the at least one synthetic dataset is unlikely to contain synthetic data that is similar to original data within the at least one original dataset, \n (ii) a warning region where the at least one synthetic dataset potentially contains the synthetic data that is similar to the original data, or \n (iii) a red flag region where the at least one synthetic dataset is likely to contain the synthetic data that is similar to the original data; and \n generating a suggestion based on the evaluation score and the determined region, wherein the suggestion includes one of (i) indicating that the at least one synthetic dataset is adequate or (ii) warning that the at least one synthetic dataset potentially contains information similar to the at least one original dataset.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 3.56098
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16151385', '14056179', '14458575', '16059241', '16048385']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2442870790162046
- 35 USC 102 Novelty (BERT): 0.4957607511504562
- Combined Prediction Score: 0.2694344462296298
- Mean Citation Score: 191.190648
- Max Citation Score: 246.89078
- Similarity Product: 189.49693983009465

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