PATENT CLAIM ANALYSIS

Application Number: 16115444
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-04
Patent Classification: ["702", "019000"]

Abstract:
The invention provides methods that use machine learning to discover within clinical data patterns that are predictive of disease. Clinical data from across a population is provided as input to a machine learning system. The autonomous machine learning system discovers associations in data from a plurality of data sources obtained from a population and correlates the associations to health status of patients in the population. The methods may further include providing patient data from an individual; and predicting, by the machine learning system, a health state for the individual when the patient data presents one or more of the discovered associations.

Claim (Index 19):
The method of  claim 18 , wherein the disease is an autoimmune, inflammatory or neurodegenerative disease.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 1.77049
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14851530', '13294959', '13995284', '15977347', '15350915']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1754783474205619
- 35 USC 102 Novelty (BERT): 0.4949139028360797
- Combined Prediction Score: 0.2074219029621137
- Mean Citation Score: 158.020424
- Max Citation Score: 163.85414
- Similarity Product: 104.35240365999698

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

Dataset: test