PATENT CLAIM ANALYSIS

Application Number: 15903209
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["715", "735000"]

Abstract:
An endoscope system includes a memory configured to be able to store a parameter set which is a combination of parameters associated with various processes during an endoscope inspection and set for each user, the memory being able to store a number of parameter sets corresponding to a plurality of user accounts, a touch panel configured to selectively display a display screen made up of a plurality of layers and a control section configured to cause the touch panel to display a user setting selection list for calling the parameter set for each user stored in the memory for part of a display region of a main screen that classifies and displays functions with high use frequency during the endoscope inspection.

Claim (Index 1):
An endoscope processor comprising:\n a storage section configured to store a parameter set which is a combination of parameters associated with various processes during an endoscope inspection and set for each user, the storage section being able to store a number of parameter sets corresponding to a plurality of user accounts; a display section configured to selectively display a display screen made up of a plurality of layers; and a display control section configured to cause the display section to display a user setting selection list for calling the parameter set for each user stored in the storage section for part of a display region of a main screen that classifies and displays functions with high use frequency during the endoscope inspection.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 1.90769
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15240254', '12355172', '11916721', '15386272', '11914171']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2659231909729589
- 35 USC 102 Novelty (BERT): 0.4609707813512666
- Combined Prediction Score: 0.2854279500107897
- Mean Citation Score: 143.11054199999995
- Max Citation Score: 153.05574
- Similarity Product: 120.76605640990734

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