PATENT CLAIM ANALYSIS

Application Number: 15953544
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["706", "012000"]

Abstract:
Systems and methods are provided for predicting treatment-regimen-related outcomes (e.g., risks of regimen-related toxicities). A predictive model is determined for predicting treatment-regimen-related outcomes and applied to a plurality of datasets. An ensemble algorithm is applied on result data generated from the application of the predictive model. Treatment-regimen-related outcomes are predicted using the predictive model. A combination of machine learning prediction and patient preference assessment is provided for enabling informed consent and precise treatment decisions.

Claim (Index 6):
The method of  claim 4 , wherein filtering the plurality of SNPs to determine the one or more filtered SNPs includes:\n removing one or more SNPs that are associated from the plurality of SNPs.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 1.51852
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14458575', '10955591', '11371511', '15373177', '13246596']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3908112347920746
- 35 USC 102 Novelty (BERT): 0.5121253717380669
- Combined Prediction Score: 0.4029426484866739
- Mean Citation Score: 189.766514
- Max Citation Score: 211.95692000000005
- Similarity Product: 109.8300455244732

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