PATENT CLAIM ANALYSIS

Application Number: 16155805
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["705", "002000"]

Abstract:
A system and method are disclosed for enhancing the efficiency and accuracy of analysis and interpretation of medical diagnostic laboratory test data for real-time clinical decision support, utilizing artificial intelligence techniques to automatically improve analytical performance and enhance provider and patient communications.

Claim (Index 20):
The medium of  claim 17 , wherein said supervised machine learning algorithm is self-learning as diagnostic interpretations are analyzed to produce medical diagnoses based on laboratory test results for one or more patients.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 97.0
- Lexical Diversity: 1.15789
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10605125', '13294959', '11444081', '11031298', '15179434']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1127007009820793
- 35 USC 102 Novelty (BERT): 0.4921173479750378
- Combined Prediction Score: 0.1506423656813751
- Mean Citation Score: 186.77465
- Max Citation Score: 200.8563
- Similarity Product: 133.27741158442498

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

Dataset: test