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 1):
A computer program product for processing user entered medical observations in a user interface to obtain a best practice recommendation, the computer program product comprising a computer readable storage medium having computer readable program code embodied therein that is executable to perform operations, the operations comprising:\n rendering an entry of a first medical observation of a patient in a user input field in a user interface; storing in a log file a first fingerprint of the first medical observation that uniquely identifies the first medical observation; in response to determining that the entry of the first medical observation is completed, providing the first medical observation to a classification program, implementing a machine learning module, to classify into a first machine classification comprising a first medical finding based on the first medical observation to provide to a rules engine to apply a series of rules to determine a first medical best practice recommendation for the first machine classification; rendering the first medical best practice recommendation in the user interface; determining a second medical observation of the patient in the user input field; generating a second fingerprint of the second medical observation that uniquely identifies the second medical observation; determining whether the first fingerprint in the log file differs from the second fingerprint; providing the second medical observation to the classification program to classify into a second machine classification comprising a second medical finding to provide to the rules engine to apply the series of rules to determine a second medical best practice recommendation for the second machine classification in response to determining that the first fingerprint in the log file differs from the second fingerprint; and rendering the second medical best practice recommendation 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): 0.3537376192932142
- 35 USC 102 Novelty (BERT): 0.4768602811801487
- Combined Prediction Score: 0.3660498854819076
- Mean Citation Score: 151.89408799999995
- Max Citation Score: 160.17796
- Similarity Product: 108.9324325767684

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