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General and personal patient risk prediction
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A risk prediction and risk technology, applied in patient-specific data, diagnostic records/measurements, instruments, etc., can solve problems such as low sensitivity, limitations, and high error rate of EWS guidelines
Pending Publication Date: 2021-04-23
KONINKLJIJKE PHILIPS NV
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Problems solved by technology
[0003] Unfortunately, adoption of EWS guidelines has been limited due to high false rate alerts and overall low sensitivity
Method used
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Embodiment 173
[0086]For the logarithmic advantage than Example 173A, the statistical classifiers 141A-141E respectively provide a plurality of general independent vital signs independently, respectively, according to the following formula [4] - [8], respectively, and a plurality of general independent vital signs risk scores 143A-143E:
[0087]
[0088]For normalization probability, the statistical classifier 141a-141e is respectively targeted for stable / non-deterioration species according to the following, respectively.0Or unstable / deteriorate type C1Formula [9] - [13] Provides a general independent vital signs risk fraction 143A-143E:
[0089]
[0090]During the stage S174 of the flowchart 170, the risk fraction adder 142 calculates the general patient risk score 144 as the sum of the general independent vital signs of risk fractions 143a-143e.
[0091]For the alignment of the alignment, the risk fraction adder 142 calculates the general patient risk fraction 144 as a plurality of general independent vita...
Embodiment 375
[0119]For logarithmic advantages than Example 375A, weighted function multipliers 151A-151E respectively calculate individual independent vital signs of risk fractions by the general independent vital signs, 143A-143E, independently, according to the following formula [16] - [20], independently, independently, independently, independently, independently:
[0120]
[0121]For normalization probability embodiments (Figure 3C ), The weighting function multiplier 151A-151E is respectively directed to the general independent vital signs, respectively, according to the following, according to the following, according to the following0Or unstable / deteriorate type C1Formula [21] - [25] Calculate multiple individual independent vital signs of risk scores 153A-153E:
[0122]
[0123]During the stage S374 of the flowchart 370, the risk fraction adder 152 calculates the personal patient risk score 154 as a plurality of individual independent vital signs of risk fractions 153A-153E.
Embodiment 375
[0124]For the alignment advantage than Example 375A, the risk fraction adder 152 calculates the personal patient risk score 154 as a plurality of personal independent vital signs 153A-153E, according to the following formula [26].
[0125]PRS = σVi, j F (Y)j) * log (p (xi│C1) / P (xi│C0[26]
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Abstract
Various embodiments of the present disclosure are directed to a general statistical classifier (40) and a personal statistical classifier (50) for executing a patient risk prediction method. In operation, the general statistical classifier (40) may render a singular general independent vital sign risk score for a singular vital sign and / or may render plural general independent vital sign risk scores for plural vital signs. The personal statistical classifier (50) may render a singular personal vital sign risk score from an integration of a singular patient feature into the singular general independent vital sign risk score, and / or may also render plural personal independent vital sign risk scores from individual integrations of plural patient features into the singular general independent vital sign risk score, individual integrations of a singular patient feature into the plural general independent vital sign risk scores, and / or individual integrations of plural patient features into the plural general independent vital sign risk scores.
Description
Technical field[0001]Various embodiments described in this disclosure relate to systems, devices, controllers, and methods comprising a statistical classifier for predicting stable / non-deteriorating patient conditions or unstable / deteriorating patients.Background technique[0002]In the past decade, individual care providers and health care organizations have realized unwanted patients in hypotonic wards that were unstable / deteriorated in the past. These patients are usually noted due to a wide variety of reasons (including low nurses in the care provider - patient equipped ratio and no experience). In order to solve this problem, the early warning score (EWS) guide that can be developed to track the slight warning score (EWS) guidelines that will not pay attention to the vital signs will not be noted. EWS Guide (eg, modified EWS guides and national EWS guidelines) have shown a certain effect in practice, and have become nursing standards in some countries (eg, UK).[0003]Regrett...
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