PATENT CLAIM ANALYSIS

Application Number: 15997631
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["382", "209000"]

Abstract:
Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.

Claim (Index 17):
The method for determining a biotype of  claim 16 , wherein the image processing application further directs the processor to generate at least one efficacy metric based on the assigned biotype, wherein the at least one efficacy metric indicates the likelihood of success of treating the patient using the at least one treatment.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 94.0
- Lexical Diversity: 2.2449
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15820338', '14401296', '14800212', '15642522', '14439145']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.212951452866274
- 35 USC 102 Novelty (BERT): 0.5607292673409087
- Combined Prediction Score: 0.2477292343137375
- Mean Citation Score: 238.436904
- Max Citation Score: 441.46133
- Similarity Product: 313.8820954248273

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