PATENT CLAIM ANALYSIS

Application Number: 16022581
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2020-01
Patent Classification: ["706", "011000"]

Abstract:
Provided are a computer program product, system, and method for determining real-time changes to content entered into a user interface to generate results for the content. In response to determining that entry of first content in a user input field rendered in a user interface is completed, the first content is provided to a classification program to classify into a first machine classification to provide to a rules engine to determine a first machine determined proposition. The first machine determined proposition is rendered in the user interface. A determination is made of second content in the user input field from the user that differs from the first content. The second content is provided to the classification program to classify into a second machine classification to provide to the rules engine to determine a second machine determined proposition rendered in the user interface with the second content.

Claim (Index 28):
A system, comprising:\n a processor; and a computer readable storage medium having computer readable program code embodied that when executed by the processor performs operations, the operations comprising:\n receiving a medical observation of a patient entered into a user input field in a user interface; \n providing the medical observation to a classification program implemented as a machine learning module to classify into a machine classification comprising a medical finding based on the medical observations to provide to a rules engine to apply a series of rules to determine a medical best practice recommendation for the medical finding; \n transmitting the medical finding and the medical best practice recommendation to render in the user interface; \n receiving user indication of rejecting at least one of the medical finding from the machine learning module and the rendered best practice recommendation; \n receiving at least one of a preferred medical finding for the medical observations and a preferred medical best practice recommendation in response to the user indication of rejecting; \n training the machine learning module comprising the classification program to output the preferred medical finding based on the medical observations in response to receiving the preferred medical finding; and \n updating the rules engine to associate the preferred medical best practice recommendation for the medical finding rendered in the user interface in response to receiving the preferred medical best practice recommendation for the medical finding, wherein the rules engine outputs the preferred medical best practice recommendation in response to the machine learning module outputting the medical finding rendered in the user interface.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 94.0
- Lexical Diversity: 2.85185
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15855227', '13033536', '13656645', '11752719', '15907988']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.354561839717907
- 35 USC 102 Novelty (BERT): 0.4734669003200462
- Combined Prediction Score: 0.3664523457781209
- Mean Citation Score: 151.89408799999995
- Max Citation Score: 160.17796
- Similarity Product: 112.24496217915774

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