PATENT CLAIM ANALYSIS

Application Number: 15747806
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["340", "576000"]

Abstract:
The invention is directed to a prediction device for use in combination with a human being where the human being issues data. The prediction device comprises a means to acquire the data from inside or outside the human being for one or more time periods located in a time interval from a moment in the past to the present moment to obtain an acquired data set, a means to model the acquired data set as a geometric Brownian motion random process model to obtain a fitted random process model, and a means to predict a state of the human being using the fitted random process model to obtain a predicted state of the human being.

Claim (Index 10):
The prediction device according to  claim 9 , wherein the mathematical expressions describing a risk are based on a survival analysis and wherein the means to model the acquired data set is a means to model the acquired data set as a geometric Brownian motion (GBM) random process and wherein the device comprises computer means configured to obtain the mathematical function describing the risk function for a geometric Brownian motion (GBM) random process model by performing the following steps:\n Step 1: find the survivor function for a GBM random process model with initial state X(0)=0. Step 2: perform a change of variable in the survivor function obtained in \u201cStep 1\u201d to obtain a survivor function for a GBM random process model with initial state Y(0)=Y_1, wherein Y(0) is the initial state and Y_1\u2208 + . Step 3: convert the survivor function to the risk function using relation: r \ue8a0 ( t ) = - ( dS \ue8a0 ( t ) / dt S \ue8a0 ( t ) ) , wherein t is time, r(t) is the risk function, X(t) is the data issued by the human being, S(t) is a survivor function, and dS(t)/dt the time derivative of the survivor function S(t).

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.16364
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11950765', '13157292', '12739653', '12026781', '13011411']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6582509603869721
- 35 USC 102 Novelty (BERT): 0.488979112612544
- Combined Prediction Score: 0.6413237756095292
- Mean Citation Score: 151.171532
- Max Citation Score: 157.4797
- Similarity Product: 107.83384295657874

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test