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 16):
The method of  claim 14 , wherein the disease is selected from the group comprising atherosclerosis, depression, migraine, cancer, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), type 1 diabetes, type 2 diabetes, stroke, asthma, uveitis, sinusitis, angioedema, psoriasis, psoriatic arthritis, multiple sclerosis, Alzheimer's disease, dementia, Parkinson's disease, posttraumatic stress disorder (PTSD), fibromyalgia, rheumatoid arthritis, lupus, ankylosing spondylitis, Hashimoto's thyroiditis, Sj\u00f6gren's syndrome, Graves' disease, irritable bowel syndrome, inflammatory bowel disease, Crohn's disease, ulcerative colitis, celiac disease, pernicious anemia, and sinusitis.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 1.77049
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14851530', '13294959', '13995284', '15977347', '15350915']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1577656773446228
- 35 USC 102 Novelty (BERT): 0.5009345184414912
- Combined Prediction Score: 0.1920825614543097
- Mean Citation Score: 158.020424
- Max Citation Score: 163.85414
- Similarity Product: 95.91972282615184

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

Dataset: test