Quantitatively characterizing disease morphology with cell orientation entropy
US-9183350-B2 · Nov 10, 2015 · US
Personalized health risk assessment for critical care
US8990135B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990135-B2 |
| Application number | US-201113253928-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 5, 2011 |
| Priority date | Jun 15, 2010 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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Abstract
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A method for assessing whether a patient is at risk of developing a clinical condition includes receiving training data representing a set of patient-related variables for each of a plurality of patients; generating model data based on the received training data; receiving target data representing the set of patient-related variables for a target patient; determining a risk level for the target patient of developing the clinical condition; and indicating the risk level of the target patient, where the set of patient-related variables consists of a first set of variables when the clinical condition is a mortality condition and a second set of variables when the clinical condition is a morbidity condition.
First claim
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We claim: 1. A computer-implemented method of assessing whether a patient is at risk of developing a clinical condition, the method comprising: receiving from a database training data representing a set of patient-related variables for each of a plurality of patients; generating model data via a computer based on the received training data; receiving target data representing the set of patient-related variables for a target patient; determining via the computer a risk level…
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Physics · mapped topic
- G06F19/3431Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Cross-Sectional Technologies · mapped topic
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- What does patent US8990135B2 cover?
- A method for assessing whether a patient is at risk of developing a clinical condition includes receiving training data representing a set of patient-related variables for each of a plurality of patients; generating model data based on the received training data; receiving target data representing the set of patient-related variables for a target patient; determining a risk level for the target…
- Who is the assignee on this patent?
- Syed Zeeshan H, Rubinfeld Ilan S, Univ Michigan, and 1 more
- What technology area does this patent fall under?
- Primary CPC classification G06F19/3431. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 24 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).