Method and apparatus for determining health status

1. A system comprising one or more computers in one or more locations and one or more storage devices storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:

providing, to a user interface displayed on a display of a user device, a sequence of questions for a first user to respond to in an interactive manner

capturing, by a camera of the user device, motion of the first user in a video sequence while the first user provides one or more answers to the sequence of questions, wherein the motion of the first user is depicted in the video sequence, and

wherein at least one question following a first question of the sequence of questions is adaptive based on the motion of the first user while the first user provides the one or more answers;

training a neural network using, as training data, the video sequence and data indicative of a medical status of the first user;

analyzing motion of a second user in a second video sequence using the trained neural network to determine one or more indications of a disease or of a change in a disease progression for the second user; and

based on the one or more indications of the disease or of the change in the disease progression for the second user, executing a change in medication prescription or a change in therapy for the second user.

2. The system of claim 1 , wherein capturing the motion of the first user comprises capturing one or more of the following: body motion, eye motion, emotions, heart rate, breathing patterns, skin tone, or speech tone of the first user.

3. The system of claim 1 , wherein the operations comprise:

based on the one or more answers, requesting the first user to perform one or more actions to complete a medical test.

4. The system of claim 3 , wherein the operations comprise:

capturing further motion of the first user while the first user is performing the one or more actions to complete the medical test; and

analyzing the further motion of the first user while the first user is performing the one or more actions to complete the medical test.

5. The system of claim 3 , wherein requesting the first user to perform the one or more actions comprises asking the first user to hold the user device such that the camera of the user device focuses on a static object.

6. The system of claim 5 , comprising capturing camera motion of the user device with respect to the static object.

7. The system of claim 6 , comprising:

measuring the first user's hand stability or tremor based on the captured camera motion; and

determining a disease status of the first user based on the measured hand stability or tremor.

8. The system of claim 3 , wherein requesting the first user to perform the one or more actions comprises asking the first user to look at a moving object displayed on the user interface.

9. The system of claim 8 , wherein capturing the motion of the first user comprise capturing eye movement of the first user while the first user is looking at the moving object.

10. The system of claim 9 , comprising:

measuring the first user's ability to focus on the moving object based on the captured eye movement; and

determining a disease status of the first user based on the first user's ability to focus on the moving object.

11. A computer-implemented method comprising:

providing, to a user interface displayed on a display of a user device, a sequence of questions for a first user to respond to in an interactive manner

capturing, by a camera of the user device, motion of the first user in a video sequence while the first user provides one or more answers to the sequence of questions, wherein the motion of the first user is depicted in the video sequence, and

wherein at least one question following a first question of the sequence of questions is adaptive based on the motion of the first user while the first user provides the one or more answers;

training a neural network using, as training data, the video sequence and data indicative of a medical status of the first user;

analyzing motion of a second user in a second video sequence using the trained neural network to determine one or more indications of a disease or of a change in a disease progression for the second user; and

based on the one or more indications of the disease or of the change in the disease progression for the second user, executing a change in medication prescription or a change in therapy for the second user.

12. The method of claim 11 , wherein capturing the motion of the first user comprises capturing one or more of the following: body motion, eye motion, emotions, heart rate, breathing patterns, skin tone, or speech tone of the first user.

13. The method of claim 11 , further comprising:

based on the one or more answers, requesting the first user to perform one or more actions to complete a medical test.

14. The method of claim 13 , comprising:

capturing further motion of the first user while the first user is performing the one or more actions to complete the medical test; and

analyzing the further motion of the first user while the first user is performing the one or more actions to complete the medical test.

15. The method of claim 14 , wherein requesting the first user to perform the one or more actions comprises asking the first user to hold the user device such that the camera of the user device focuses on a static object.

16. The method of claim 15 , comprising capturing camera motion of the user device with respect to the static object.

17. The method of claim 16 , comprising:

measuring the first user's hand stability or tremor based on the captured camera motion; and

determining a disease status of the first user based on the measured hand stability or tremor.

18. The method of claim 13 , wherein requesting the first user to perform the one or more actions comprises asking the first user to look at a moving object displayed on the user interface.

19. The method of claim 18 , wherein capturing the motion of the first user comprise capturing eye movement of the first user while the first user is looking at the moving object.

20. The method of claim 19 , comprising:

measuring the first user's ability to focus on the moving object based on the captured eye movement; and

determining a disease status of the first user based on the first user's ability to focus on the moving object.

21. One or more non-transitory computer-readable storage media storing instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising:

providing, to a user interface displayed on a display of a user device, a sequence of questions for a first user to respond to in an interactive manner;

capturing, by a camera of the user device, motion of the first user in a video sequence while the first user provides one or more answers to the sequence of questions, wherein the motion of the first user is depicted in the video sequence, and

wherein at least one question following a first question of the sequence of questions is adaptive based on the motion of the first user while the first user provides the one or more answers;

training a neural network using, as training data, the video sequence and data indicative of a medical status of the first user;

analyzing motion of a second user in a second video sequence using the trained neural network to determine one or more indications of a disease or of a change in a disease progression for the second user; and

based on the one or more indications of the disease or of the change in the disease progression for the second user, executing a change in medication prescription or a change in therapy for the second user.

22. The system of claim 1 , wherein the at least one question following the first question of the sequence of questions is adaptive based on the motion of the first user while the first user provides verbal answers.

23. The system of claim 1 , wherein the first question of the sequence of questions is adapted for determining an overall level of the disease in the first user, and

wherein the at least one question following the first question is adapted for determining a change in symptoms of the disease for the first user.