Evaluation method, evaluation device, and program

Abstract

The purpose of the present invention is to easily identify the state of a blood vessel at a deep part of a face. The evaluation method according to one embodiment of the present invention includes: acquiring information about a subject to be evaluated, including the real age of the subject and an answer to a questionnaire about the skin of the face of the subject; and predicting the state of a blood vessel at a deep part of the face of the subject from the information about the subject.

Description

Evaluation method, evaluation device, and program

[0001] The present invention relates to an evaluation method, an evaluation device, and a program.

[0002] Conventionally, there are known methods for determining the state of blood vessels, such as optical coherence tomography angiography (OCTA), a blood flowmeter, photoacoustic imaging, and flow mediated dilatation (FMD).

[0003] JP 2008-188428 A

[0004] However, there has been no conventional method for non-invasively obtaining information on the state of blood vessels deep within the face.

[0005] Therefore, an object of one embodiment of the present invention is to easily grasp the state of blood vessels deep in the face.

[0006] An evaluation method according to one embodiment of the present invention includes obtaining information about a person to be evaluated, the information including the person's actual age and responses to a questionnaire about the person's facial skin, and predicting the state of blood vessels deep in the face of the person to be evaluated from the information about the person to be evaluated.

[0007] According to one embodiment of the present invention, the state of blood vessels deep in the face can be easily grasped.

[0008] FIG. 1 is an overall configuration diagram according to one embodiment of the present invention. FIG. 2 is a functional block diagram of an evaluation device according to one embodiment of the present invention. FIG. 3 is a flowchart (Example 1) of an evaluation process according to one embodiment of the present invention. FIG. 4 is a flowchart (Example 2) of an evaluation process according to one embodiment of the present invention. FIG. 5 is a diagram for explaining the correspondence between "actual age and answers to a questionnaire about facial skin" and "the state of blood vessels in deep parts of the face" according to one embodiment of the present invention. FIG. 6 is a diagram for explaining the correspondence between "actual age and answers to a questionnaire about facial skin" and "the state of blood vessels in deep parts of the face" according to one embodiment of the present invention. FIG. 7 is a diagram for explaining the correspondence between "actual age and answers to a questionnaire about facial skin" and "the state of blood vessels in deep parts of the face" according to one embodiment of the present invention. FIG. 8 is a diagram for explaining the relationship between the state of blood vessels and the amount of sagging around the eyes according to one embodiment of the present invention. FIG. 9 is a diagram for explaining the relationship between the state of blood vessels, the amount of sagging around the eyes, and actual age according to one embodiment of the present invention. FIG. 10 is a block diagram for explaining an example of the hardware configuration of an evaluation device according to one embodiment of the present invention.

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0010] <Explanation of Terms> In this specification, "blood vessels in the deep part of the face" refers to facial arteries (specifically, cheek arteries).

[0011] <Overall Configuration> Fig. 1 is a diagram showing the overall configuration according to one embodiment of the present invention. Each of these components will be described below.

[0012] The evaluation device 10 evaluates the state of blood vessels deep in the face of the person being evaluated 30. Specifically, the evaluation device 10 predicts the state of blood vessels deep in the face of the person being evaluated 30 from information about the person being evaluated 30 (for example, "actual age and answers to a questionnaire about facial skin" or "measurements of facial skin"). The evaluation device 10 is composed of one or more computers. The evaluation device 10 will be described in detail later with reference to FIG. 2.

[0013] The skin measurement device 20 is a device that measures the facial skin of the subject 30. For example, the measurement value of the facial skin is the amount of sagging around the eyes.

[0014] <Functional Block> Fig. 2 is a functional block diagram of the evaluation device 10 according to one embodiment of the present invention. The evaluation device 10 can include an acquisition unit 101, a vascular condition prediction unit 102, a skin condition prediction unit 103, and a presentation unit 104. Furthermore, the evaluation device 10 can function as the acquisition unit 101, the vascular condition prediction unit 102, the skin condition prediction unit 103, and the presentation unit 104 by executing a program. The vascular condition prediction unit 102 and the skin condition prediction unit 103 are collectively referred to as a prediction unit.

[0015] The acquisition unit 101 acquires information about the person to be evaluated 30 .

[0016] <Information about the person to be evaluated> Here, a description will be given of information about the person to be evaluated 30. Two examples of information about the person to be evaluated 30 will be described below.

[0017] <<Actual Age and Responses to a Questionnaire Regarding Facial Skin>> For example, the information regarding the subject 30 includes the actual age of the subject 30 and responses to a questionnaire regarding facial skin of the subject 30. For example, the questionnaire is regarding sagging around the eyes.

[0018] For example, the questionnaire may include at least one of the following questions. [Survey questions and example answers] - Do you feel oily? [1], do not feel it? [0]. *It does not matter whether you are troubled by oily skin or not. - Do you feel dullness? [1], do not feel it? [0]. *It does not matter whether you are troubled by dullness or not. - Do you feel sagging under the eyes? [1], do not feel it? [0]. *It does not matter whether you are troubled by sagging under the eyes or not. - Do you feel dry lips? [1], do not feel it? [0]. *It does not matter whether you are troubled by dry lips or not. - Do you feel dullness? [1], do not feel it? [0]. - Do you feel noticeable age spots and freckles? [1], do not feel it? [0]. - Do you feel dry lips? [1], do not feel it? [0]. - I am troubled by the visibility of my eye bags [1], but I am not troubled by them [0].

[0019] <<Facial Skin Measurement Values>> For example, the information about the subject 30 includes facial skin measurement values. For example, the facial skin measurement values ​​are measurement values ​​related to sagging around the eyes. Specifically, the facial skin measurement values ​​are the amount of sagging around the eyes.

[0020] The "amount of sagging around the eyes" refers to the volume (cc) of the area (around the eyes) that is more recessed when the subject 30 is in a vertical position than when the subject 30 is in a horizontal position, when the subject 30 is in a vertical position than when the subject 30 is in a horizontal position. The "eyes" refers to the area of ​​the face defined by the area sandwiched laterally between the nose and the sideburns or ears, with the upper limit being the lower eyelid and the lower limit being the cheekbone, and refers to the two areas on either side of the nose. The "horizontal position" refers to the state in which the midline of the face is held stationary at a right angle to the direction of gravity. The "vertical position" refers to the state in which the midline of the face is held stationary parallel to the direction of gravity.

[0021] The blood vessel condition prediction unit 102 predicts the state of blood vessels deep in the face of the person to be evaluated 30 from the information about the person to be evaluated 30 acquired by the acquisition unit 101. Specifically, the blood vessel condition prediction unit 102 predicts the state of blood vessels deep in the face of the person to be evaluated 30 by referring to a predetermined correspondence relationship between "information about the person to be evaluated 30" and "the state of blood vessels deep in the face" (details of which will be described later).

[0022] For example, the state of blood vessels in the deep part of the face is calculated from the blood flow velocity in the blood vessels, and the state of blood vessels in the deep part of the face is calculated from the blood flow rate and the radius of the blood vessels.

[0023] The skin condition prediction unit 103 predicts the measurement values ​​of the facial skin of the evaluation subject 30 (e.g., the amount of sagging around the eyes) from the state of blood vessels deep in the face of the evaluation subject 30 predicted by the blood vessel condition prediction unit 102. Specifically, the skin condition prediction unit 103 predicts the measurement values ​​of the facial skin of the evaluation subject 30 (e.g., the amount of sagging around the eyes) by referring to a predetermined correspondence relationship (details of which will be described later) between the "state of blood vessels deep in the face" and the "measurement values ​​of the facial skin (e.g., the amount of sagging around the eyes)".

[0024] The presentation unit 104 presents beauty information according to the state of blood vessels deep in the face of the person being evaluated 30. Specifically, the presentation unit 104 refers to a predetermined correspondence between the "state of blood vessels deep in the face" and "beauty information appropriate for the state of the blood vessels," and extracts and presents beauty information according to the state of blood vessels deep in the face of the person being evaluated 30. Note that the presentation unit 104 may also present beauty information according to the measurement value of the facial skin predicted by the skin condition prediction unit 103 (e.g., the amount of sagging around the eyes).

[0025] <<Beauty Information>> Here, the beauty information will be explained. Beauty information is information about beauty-related products, services, etc. (e.g., product names, service names, prices, etc.). For example, beauty information includes information on cosmetics for skin care and makeup, information on food and beverages such as supplements, information on cosmetic tools, information on beauty equipment, information on aesthetics, beauty regimens that should be implemented by the evaluation subject 30, etc.

[0026] <Method> Two examples of the evaluation process will be described below.

[0027] <<Example 1>> FIG. 3 shows an example (Example 1) of evaluation processing according to one embodiment of the present invention.

[0028] In step 101 (S101), the acquisition unit 101 acquires information about the person to be evaluated 30, including the actual age of the person to be evaluated 30 and the person to be evaluated 30's responses to a questionnaire about facial skin.

[0029] In step 102 (S102), the blood vessel condition prediction unit 102 predicts the state of blood vessels deep in the face of the person to be evaluated 30 from the information about the person to be evaluated 30 acquired in S101.

[0030] In step 103 (S103), the skin condition prediction unit 103 predicts the measurement values ​​of the facial skin of the subject 30 (e.g., the amount of sagging around the eyes) from the state of blood vessels deep in the face of the subject 30 predicted in S102.

[0031] In step 104 (S104), the presentation unit 104 presents beauty information according to the state of blood vessels deep in the face of the subject 30 predicted in S102. Note that the presentation unit 104 may also present beauty information according to the measurement values ​​of the facial skin (e.g., the amount of sagging around the eyes) predicted in S103.

[0032] <<Example 2>> FIG. 4 shows an example (Example 2) of evaluation processing according to one embodiment of the present invention.

[0033] In step 201 (S201), the acquisition unit 101 acquires information about the subject 30 including measurements of the facial skin of the subject 30 (for example, the amount of sagging around the eyes).

[0034] In step 202 (S202), the blood vessel condition prediction unit 102 predicts the state of blood vessels deep in the face of the person to be evaluated 30 from the information about the person to be evaluated 30 acquired in S201.

[0035] In step 203 (S203), the presentation unit 104 presents beauty information according to the state of blood vessels deep in the face of the person to be evaluated 30 predicted in S202.

[0036] <<State of Blood Vessels Deep in the Face>> Here, the state of blood vessels deep in the face (for example, facial arteries) will be described.

[0037] In the present invention, MRI (Magnetic Resonance Imaging) intensity is used as an index (vascular health) for quantifying the state of blood vessels deep in the face. Specifically, for all images acquired from a subject using MRA-PC (Magnetic Resonance Angiography - Phase Contrast), the maximum brightness intensity is calculated within a 10P (pixel) x 10P (pixel) range around the position of the blood vessel, and the average of all maximum intensities is used as the brightness intensity of blood vessels deep in the face. Measurement parameters are set so that the brightness intensity of blood vessels deep in the face is proportional to blood flow velocity. The concept of quantifying the state of blood vessels deep in the face will be described in detail below.

[0038] The following equation is derived from fluid mechanics: v = Q / πr ２ ... (Equation 1) where, v: blood flow velocity, Q: blood flow rate, and r: radius of blood vessel.

[0039] It is known that the radius of blood vessels deep in the face (e.g., facial arteries) decreases with aging, etc. From the above (Equation 1), blood flow velocity is inversely proportional to the square of the blood vessel radius. In other words, using the brightness intensity of blood vessels as an index for quantifying the state of blood vessels deep in the face allows for sensitive quantification of blood vessel health. For example, when blood flow velocity is high, which indicates unhealthy blood vessels, the blood vessels appear bright, while when blood flow velocity is low, which indicates healthy blood vessels, the blood vessels appear dark. From these facts, it can be seen that in MRA-PC images, brighter blood vessels (i.e., smaller blood vessel radius squared) indicate less healthy blood vessels, and darker blood vessels (i.e., larger blood vessel radius squared) indicate healthier blood vessels.

[0040] <Correspondence between "Information about the person being evaluated" and "State of blood vessels deep in the face"> Here, the correspondence between "Information about the person being evaluated 30" and "State of blood vessels deep in the face" will be described. The explanation will be divided into a case where "Information about the person being evaluated 30" includes "Actual age and answers to a facial skin questionnaire" and a case where "Information about the person being evaluated 30" includes "Measurement values ​​of facial skin".

[0041] <<Correspondence between "Actual Age and Answer to Questionnaire on Facial Skin" and "State of Blood Vessels in Deep Facial Layers">> A case will be described where the information about the evaluation subject 30 includes "Actual Age and Answer to Questionnaire on Facial Skin." Figures 5 to 7 are diagrams for explaining the correspondence between "Actual Age and Answer to Questionnaire on Facial Skin" and "State of Blood Vessels in Deep Facial Layers" according to one embodiment of the present invention.

[0042] The following questionnaire was administered to the subjects (46 people), and the responses shown in Figure 5 were obtained.

[0043] [Sample survey questions and answers] - Do you feel oily? [1], do not feel oily? [0]. *Does not matter whether you are troubled by oily skin or not. - Do you feel dullness? [1], do not feel dullness? [0]. *Does not matter whether you are troubled by dullness or not. - Do you feel sagging under the eyes? [1], do not feel dullness? [0]. *Does not matter whether you are troubled by sagging under the eyes or not. - Do you feel dry lips? [1], do not feel dry lips? [0]. *Does not matter whether you are troubled by dry lips or not. - Do you feel dullness? [1], do not feel dullness? [0]. - Do you feel troubled by noticeable age spots and freckles? [1], do not feel dullness? [0]. - Do you feel troubled by noticeable sagging under the eyes? [1], do not feel dullness? [0]. - Do you feel troubled by noticeable age spots and freckles? [1], do not feel dullness? [0]. - Do you feel troubled by noticeable sagging under the eyes? [1], do not feel dullness? [0]. - Do you feel troubled by noticeable eye bags? [1], do not feel dullness? [0].

[0044] "No." in FIG. 5 indicates the subject's number. "Ave." in FIG. 5 indicates the state of blood vessels deep in the subject's face (vascular health) based on the brightness intensity of blood vessels obtained from the MRI image. "Age." in FIG. 5 indicates the subject's actual age. In addition, "oiliness (perceived, not perceived)," "dullness (perceived, not perceived)," "sagging under the eyes (perceived, not perceived)," "chapped lips (perceived, not perceived)," "dullness (concerned, not concerned)," "prominence of age spots and freckles (concerned, not concerned)," "sagging under the eyes (concerned, not concerned)," and "prominence of eye bags (concerned, not concerned)" in FIG. 5 indicate questions in the questionnaire.

[0045] FIG. 6 shows the regression statistics between "actual age and answers to the questionnaire about facial skin" and "condition of blood vessels in the deep part of the face." As shown in FIG. 6, the multiple correlation R (multiple correlation coefficient) is 0.661344, and the multiple correlation R ２ The coefficient of determination is 0.437376, and the corrected R ２ The adjusted coefficient of determination (or corrected coefficient of determination) was 0.29672, the standard error was 2.809063, and the number of observations was 46.

[0046] FIG. 7 shows the coefficients, standard errors, and t-values ​​for the "intercept," "Age (actual age of the subject)," and "questionnaire questions ("oiliness (feeling, not feeling)," "dullness (feeling, not feeling)," "sagging under the eyes (feeling, not feeling)," "chapped lips (feeling, not feeling)," "dullness (concerned, not concerned)," "visibility of age spots and freckles (concerned, not concerned)," "sagging under the eyes (concerned, not concerned)," and "visibility of eye bags (concerned, not concerned))."

[0047] In this way, it was found that there is a correlation between "actual age and answers to the questionnaire about facial skin" and "the state of blood vessels deep in the face." Therefore, the blood vessel state prediction unit 102 can predict the state of blood vessels deep in the face (the health of blood vessels) by adding up the answers to each question in the questionnaire (i.e., 1 or 0) weighted by each coefficient in Figure 7.

[0048] <<Correspondence between “Facial Skin Measurement Values” and “State of Blood Vessels Deep in the Face”>> A case will be described in which the information about the subject 30 includes “facial skin measurement values ​​(e.g., the amount of sagging around the eyes)”.

[0049] FIG. 8 is a diagram illustrating the relationship between the state of blood vessels (horizontal axis) and the amount of sagging around the eyes (vertical axis) according to one embodiment of the present invention. FIG. 8 shows the relationship between the state of blood vessels (vascular health) deep in the subject's face based on the brightness intensity of blood vessels obtained from MRI images and the amount of sagging around the eyes of the subject. The multiple correlation coefficient was 0.38, the p-value was 0.009, and the number of subjects was 47. Thus, there was a correlation between the state of blood vessels (vascular health) deep in the subject's face based on the brightness intensity of blood vessels obtained from MRI images and the amount of sagging around the eyes of the subject.

[0050] 9 is a diagram illustrating the relationship between the state of blood vessels (horizontal axis), the amount of sagging around the eyes (vertical axis), and actual age according to one embodiment of the present invention. FIG. 9 shows the relationship between the state of blood vessels (vascular health) deep in the face of a subject based on the brightness intensity of blood vessels obtained from MRI images and the amount of sagging around the eyes of the subject for each age group of actual age. Thus, the state of blood vessels deep in the face of a subject based on the brightness intensity of blood vessels obtained from MRI images (vascular health) correlates with the amount of sagging around the eyes of the subject, but does not correlate with the subject's actual age.

[0051] FIG. 10 is a diagram illustrating the relationship between chronological age (horizontal axis) and vascular condition (vertical axis) according to one embodiment of the present invention. FIG. 10 shows the relationship between the subject's chronological age and the vascular condition (vascular health) deep within the subject's face based on the vascular brightness intensity obtained from MRI images. The p-value for the 20s (age 20s) and 50s (age 50s) was 0.047 (i.e., there was a significant difference between the 20s (age 20s) and 50s (age 50s)). However, there is no correlation between the subject's chronological age and the vascular condition (vascular health) deep within the subject's face based on the vascular brightness intensity obtained from MRI images.

[0052] In this way, it was found that the "measurement value of facial skin (e.g., the amount of sagging around the eyes)" and the "condition of blood vessels deep in the face" are more correlated than the actual age and the "condition of blood vessels deep in the face." Therefore, by using the measurement value of facial skin (e.g., the amount of sagging around the eyes), the blood vessel condition prediction unit 102 can predict the condition of blood vessels deep in the face more accurately than by using the actual age.

[0053] In addition, the skin condition prediction unit 103 can predict the facial skin measurement values ​​(e.g., the amount of sagging around the eyes) of the person being evaluated 30 from the state of blood vessels deep in the face of the person being evaluated 30 predicted by the blood vessel condition prediction unit 102, using the correlation between the ``facial skin measurement values ​​(e.g., the amount of sagging around the eyes)'' and the ``state of blood vessels deep in the face.''

[0054] <Effects> With the present invention, the state of blood vessels deep in the face can be easily grasped. For example, the state of blood vessels deep in the face can be grasped simply by obtaining the actual age of the person being evaluated and the responses of the person being evaluated to a questionnaire about the person's facial skin. Furthermore, for example, the state of blood vessels deep in the face can be grasped more accurately than by using the actual age simply by obtaining measurements of the person's facial skin.

[0055] In this way, the present invention makes it possible to grasp the state of blood vessels deep within the skin that affect the skin. Conventional methods (specifically, methods based on the structure of blood vessels) could only grasp the capillaries that are affected by the skin, but the method of the present invention makes it possible to grasp the state of blood vessels deep within the skin that affect the skin.

[0056] <Hardware Configuration> Fig. 11 is a block diagram showing an example of the hardware configuration of an evaluation device 10 according to one embodiment of the present invention. The evaluation device 10 has a CPU (Central Processing Unit) 1, a ROM (Read Only Memory) 2, and a RAM (Random Access Memory) 3. The CPU 1, ROM 2, and RAM 3 form a so-called computer. The evaluation device 10 may also have an auxiliary storage device 4, a display device 5, an operation device 6, an I / F (Interface) device 7, and a drive device 8. The hardware components of the evaluation device 10 are connected to each other via a bus B.

[0057] The CPU 1 is a computing device that executes various programs installed in the auxiliary storage device 4 .

[0058] The ROM 2 is a non-volatile memory and functions as a main storage device that stores various programs, data, etc. required for the CPU 1 to execute various programs installed in the auxiliary storage device 4. Specifically, the ROM 2 functions as a main storage device that stores boot programs such as a Basic Input / Output System (BIOS) and an Extensible Firmware Interface (EFI).

[0059] The RAM 3 is a volatile memory such as a dynamic random access memory (DRAM) or a static random access memory (SRAM). The RAM 3 functions as a main storage device that provides a working area in which various programs installed in the auxiliary storage device 4 are expanded when the CPU 1 executes them.

[0060] The auxiliary storage device 4 is an auxiliary storage device that stores various programs and information used when the various programs are executed.

[0061] The display device 5 is a display device that displays the internal state of the evaluation device 10 and the like.

[0062] The operation device 6 is an input device through which the administrator of the evaluation device 10 inputs various instructions to the evaluation device 10 .

[0063] The I / F device 7 is a communication device that connects to a network and communicates with other devices.

[0064] The drive device 8 is a device for loading a storage medium 9. The storage medium 9 here includes media that record information optically, electrically, or magnetically, such as CD-ROMs, flexible disks, and magneto-optical disks. The storage medium 9 may also include semiconductor memories that record information electrically, such as EPROMs (Erasable Programmable Read Only Memory) and flash memories.

[0065] The various programs to be installed in the auxiliary storage device 4 are installed, for example, by setting the distributed storage medium 9 in the drive device 8 and reading the various programs recorded on the storage medium 9 by the drive device 8. Alternatively, the various programs to be installed in the auxiliary storage device 4 may be installed by being downloaded from a network via the I / F device 7.

[0066] Although the examples of the present invention have been described in detail above, the present invention is not limited to the specific embodiments described above, and various modifications and changes are possible within the scope of the gist of the present invention as set forth in the claims.

[0067] This international application claims priority based on Japanese Patent Application No. 2022-030316, filed on February 28, 2022, the entire contents of which are incorporated herein by reference.

[0068] 10 Evaluation device 20 Skin measurement device 30 Evaluation subject 101 Acquisition unit 102 Blood vessel condition prediction unit 103 Skin condition prediction unit 104 Presentation unit

Claims

1. Obtaining information about the subject to be evaluated, including the actual age of the subject to be evaluated and the answers to the questionnaire on the facial skin of the subject to be evaluated; Predicting the state of blood vessels in the deep part of the face of the subject to be evaluated from the information about the subject to be evaluated An evaluation method including the above.

2. Obtaining information about the subject to be evaluated, including the measured values of the facial skin of the subject to be evaluated; Predicting the state of blood vessels in the deep part of the face of the subject to be evaluated from the information about the subject to be evaluated An evaluation method including the above.

3. Further including predicting the measured values of the facial skin of the subject to be evaluated from the state of blood vessels in the deep part of the face of the subject to be evaluated The evaluation method according to claim 1, further including the above.

4. The evaluation method according to claim 2 or 3, wherein the measured value of the facial skin of the subject to be evaluated is the amount of sagging around the eyes of the subject to be evaluated.

5. Further including presenting beauty information according to the state of blood vessels in the deep part of the face of the subject to be evaluated The evaluation method according to claim 1, further including the above.

6. The evaluation method according to claim 1, wherein the blood vessels in the deep part of the face are arteries.

7. The evaluation method according to claim 1, wherein the state of blood vessels in the deep part of the face is a vascular state calculated from the blood flow velocity in the blood vessels.

8. The evaluation method according to claim 1, wherein the state of blood vessels in the deep part of the face is a vascular state calculated from the blood flow rate of the blood vessels and the radius of the blood vessels.

9. The evaluation method according to claim 1, wherein the state of blood vessels in the deep part of the face is a vascular state calculated from the signal intensity of blood vessels in MRI (Magnetic Resonance Imaging) images.

10. The method for evaluation according to claim 1, wherein the state of blood vessels in the deep part of the face is a blood vessel state calculated from the signal intensity of blood vessels in MRA-PC (Magnetic Resonance Angiography - Phase Contrast) images among MRI (Magnetic Resonance Imaging).

11. An acquisition unit that acquires information about the evaluation subject, including the actual age of the evaluation subject and the answers to the questionnaire on the skin of the face of the evaluation subject; A prediction unit that predicts the state of blood vessels in the deep part of the face of the evaluation subject from the information about the evaluation subject An evaluation device comprising the above.

12. An acquisition unit that acquires information about the evaluation subject, including measurement values of the skin of the face of the evaluation subject; A prediction unit that predicts the state of blood vessels in the deep part of the face of the evaluation subject from the information about the evaluation subject An evaluation device comprising the above.

13. An evaluation device An acquisition unit that acquires information about the evaluation subject, including the actual age of the evaluation subject and the answers to the questionnaire on the skin of the face of the evaluation subject, A prediction unit that predicts the state of blood vessels in the deep part of the face of the evaluation subject from the information about the evaluation subject A program for causing the above to function.

14. An evaluation device An acquisition unit that acquires information about the evaluation subject, including measurement values of the skin of the face of the evaluation subject, A prediction unit that predicts the state of blood vessels in the deep part of the face of the evaluation subject from the information about the evaluation subject A program for causing the above to function.