PATENT CLAIM ANALYSIS

Application Number: 16153403
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["600", "301000"]

Abstract:
Disclosed herein are devices, systems, methods and platforms for continuously monitoring the health status of a user, for example the cardiac health status. The present disclosure describes systems, methods, devices, software, and platforms for continuously monitoring a user's health-indicator data (for example and without limitation PPG signals, heart rate or blood pressure) from a user-device in combination with corresponding (in time) data related to factors that may impact the health-indicator (“other-factors”) to determine whether a user has normal health as judged by or compared to, for example and not by way of limitation, either (i) a group of individuals impacted by similar other-factors, or (ii) the user him/herself impacted by similar other-factors.

Claim (Index 17):
A method comprising:\n receiving a set of training data, wherein the training data comprises a set of low-fidelity health-indicator data, a corresponding set of other-factor data, wherein the low-fidelity health-indicator data is labeled with a corresponding set of actual high-fidelity labels; inputting, by a processing device, an interval of low-fidelity health-indicator data and corresponding other-factor data into an untrained machine learning model to generate a predicted high-fidelity label; updating, by the processing device, the machine learning model based on comparing the predicted high-fidelity label to an actual high-fidelity label corresponding to the interval of low-fidelity health-indicator data.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.86486
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16153345', '13868605', '14569150', '14569513', '12508836']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4623241161483721
- 35 USC 102 Novelty (BERT): 0.5119023432444609
- Combined Prediction Score: 0.467281938857981
- Mean Citation Score: 207.92914200000004
- Max Citation Score: 317.03958
- Similarity Product: 203.21429313048364

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