Disease prediction model generation apparatus, and apparatus and method for predicting disease
AssigneeSamsung Electronics Co., Ltd.
InventorsEui Seok Shin, Yun S Park
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AssigneeSamsung Electronics Co., Ltd.
InventorsEui Seok Shin, Yun S Park
Estimating the term…
A disease prediction apparatus may include: a spectrometer configured to obtain an optical spectrum of a subject; and a processor configured to predict autofluorescence of the subject based on the optical spectrum by applying the optical spectrum to an autofluorescence prediction model, and predict a risk of developing a cardiovascular disease based on the predicted autofluorescence.
A disease prediction apparatus, comprising:
A disease prediction method, comprising:
Dependencies are inferred from the claim text.
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Using light, e.g. diagnosis by transillumination, diascopy, fluorescence: by measuring fluorescence emission
Arrangements for scanning: body surface scanning
Using light, e.g. diagnosis by transillumination, diascopy, fluorescence: by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy,…
For the operation of medical equipment or devices: for local operation
About 11 years 10 months of term left · ends 21 Aug 2038 (estimated)
Apparatuses and methods consistent with exemplary embodiments relate to a disease prediction model generation apparatus for predicting a disease by using a near-infrared spectrum, and an apparatus and method for predicting a disease.
With the aging of body tissues or under long-term exposure to high concentrations of glucose, proteins such as collagen in body tissues or blood vessels become glycated by non-enzymatic reactions. These glycated proteins are called Advanced Glycation End products (AGEs).
As the amount of AGEs in the body tissues increases, elasticity of the body tissues is reduced as a result of protein denaturation. That is, when the glucose concentration in the blood remains high for a long period of time, glycation of proteins in the blood vessels is accelerated, reducing elasticity of the walls of blood vessels with glycated proteins, and increasing vascular permeability, as well as oxidative stress and inflammatory factors in the blood vessels.
The above and/or other aspects will be more apparent by describing certain exemplary embodiments, with reference to the accompanying drawings, in which:
FIG. 1 is a block diagram illustrating a disease prediction apparatus according to an exemplary embodiment.
FIG. 2 is a graph indicating classification of cardiovascular disease risks according to an exemplary embodiment.
Throughout the drawings and the detailed description, unless otherwise described, the same drawing reference numerals will be understood to refer to the same elements, features, and structures. The relative size and depiction of these elements may be exaggerated for clarity, illustration, and convenience.
Exemplary embodiments are described in greater detail below with reference to the accompanying drawings.
In the following description, like drawing reference numerals are used for like elements, even in different drawings. The matters defined in the description, such as detailed construction and elements, are provided to assist in a comprehensive understanding of the exemplary embodiments. However, it is apparent that the exemplary embodiments can be practiced without those specifically defined matters. Also, well-known functions or constructions are not described in detail since they would obscure the description with unnecessary detail.