Parkinson's disease prediction method and device

A prediction method and prediction model technology, applied in the field of machine learning, can solve the problem of lack of simple and effective solutions for Parkinson's prediction, and achieve the effect of accurate auxiliary prediction and evaluation

Pending Publication Date: 2020-05-29
上海恩睦信息科技有限公司 +1
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Problems solved by technology

[0009] Embodiments of the present invention provide a Parkinson's prediction method and device to solve the current problem of lack of simple and effective solutions for Parkinson's prediction

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  • Parkinson's disease prediction method and device
  • Parkinson's disease prediction method and device
  • Parkinson's disease prediction method and device

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Embodiment Construction

[0062] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0063] figure 1 It is a flowchart of a method for predicting Parkinson's according to an exemplary embodiment of the present invention. The method may include the steps of:

[0064] S101. Acquire a sample set, where samples in the sample set are keyboard stroke data, and the keyboard stroke data includes user information and time features when the user strokes a keyboard key.

[0065] As an e...

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Abstract

The invention provides a Parkinson's disease prediction method and device. A sample set is obtained, keyboard tapping data serving as samples comprise user information and time characteristics at themoment of tapping keyboard keys by a user, then a prediction model is established; the sample set is used for training the prediction model; finally, the keyboard tapping data of a tested object are input into a prediction model, and a Parkinson's disease prediction result is obtained. The degree of hand tremor can be reflected by considering the time characteristic when the user clicks the keys of the keyboard. The invention provides a scheme for predicting the Parkinson's disease by using keyboard tapping data. An effective auxiliary decision is provided for the medical personnel to furtherdiagnose the Parkinson's disease patient. According to the invention, only a computer needs to be used according to daily life habits, no professional equipment or accessories need to be purchased, the method is not affected by the environment, non-inductive data collection of the testee can be achieved, the method is a simple and effective prediction scheme, and early Parkinson's disease can be rapidly and accurately predicted and evaluated in an assisted mode.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of machine learning, and in particular to a Parkinson's prediction method and device. Background technique [0002] Parkinson's disease (PD, Parkinson's disease) is the most common neurodegenerative disease in the elderly, and its important clinical features are tremor, bradykinesia, stiffness and postural instability. Studies have shown that patients treated in the early stage of Parkinson's disease can live independently for an average of 15 years compared with those treated in the late stage. Therefore, it is important to diagnose Parkinson's disease in the early stage of Parkinson's disease for effective treatment and to improve the life of patients. Status is very important. [0003] Because Parkinson's disease has the characteristics of insidious onset and gradual progression, routine blood and cerebrospinal fluid examinations are mostly normal, and there are no characteristi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H10/60G06N3/04G06N3/08
CPCG16H50/30G16H10/60G06N3/049G06N3/08G06N3/045
Inventor 谢苏贾婷周念
Owner 上海恩睦信息科技有限公司
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