Deep learning method for voice medical advice

A deep learning and doctor's order technology, applied in the field of voice learning, can solve the problems that the supervision of patient's condition changes and treatment effects has no real effect, and the content of doctor's orders is not clear, so as to achieve the effect of clear text and reduce workload

Inactive Publication Date: 2018-12-11
成都赫思维信科技有限责任公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the doctor's handwritten medical order is prone to unclear content and has no substantial effect on the supervision of the patient's condition change and treatment effect. It is easy to appear that the content is not clear and has no real effect on the supervision of the patient's condition change and treatment effect

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] The voice doctor's order deep learning method of the present invention comprises the following steps:

[0024] S1, collecting voice doctor's orders;

[0025] S2, converting the voice medical order in step S1 into text data and storing the text data;

[0026] S3. Extract key words in the text data, classify the key words extracted from the doctor's order for the same patient in different periods, and classify the same key words into the same category;

[0027] S4. According to the variables in the same type of key words, make a corresponding chart;

[0028] S5. Store and output the corresponding chart formulated in step S4, combined with the corresponding chart formulated in step S4 to monitor the change of the patient's condition and make a treatment plan suitable for the patient.

[0029] In step S2, noise reduction processing is performed on the voice medical order before text data conversion is performed on the voice medical order. After the voice doctor's order i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a deep learning method for a voice medical advice. The method comprises the following steps sequentially: a voice medical advice is acquired; the voice medical advice is converted to text data and the text data are stored; key words in the text data are extracted, and key words extracted from medical advices for the same patient in different periods are classified, and thesame key words are categorized to the same class; according to variables in the same class of key words, a corresponding chart is made; and the corresponding made chart is stored and outputted, and incombination of the corresponding chart, the change condition of the patient is monitored and a treatment plan suitable for the patient is made. The medical advice is recorded into voice, and the workload of a doctor is reduced.

Description

technical field [0001] The invention relates to a voice learning method, in particular to a deep learning method for voice medical orders. Background technique [0002] A doctor's order is a doctor's instructions to a patient in terms of diet, medication, and laboratory tests according to the needs of the disease and treatment. A doctor's order refers to a medical order issued by a doctor in medical activities. The content of the doctor's order and the start and stop time should be written by the doctor. The content of the doctor's order should be accurate and clear, and each doctor's order should contain only one content, and the time of issue should be indicated, which should be specific to the minute. It is divided into three categories: long-term doctor's order, temporary doctor's order and backup doctor's order. [0003] Doctor's orders can only be used as instructions for patients in terms of diet, medication, and laboratory tests. Existing doctor's orders are handw...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H80/00G16H50/20G10L15/26
CPCG10L15/26G16H50/20G16H80/00
Inventor 张浩
Owner 成都赫思维信科技有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap