Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A doctor recommendation method based on multi-source data analysis

A technology of multi-source data and recommendation method, applied in the field of multi-source data analysis, can solve the problems of many patients and long waiting time, achieve the effect of convenient navigation service and avoid long waiting time

Active Publication Date: 2017-06-20
WUHAN POST & TELECOMM RES INST CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, when residents choose a hospital for treatment, most of them adopt the principle of attraction or the principle of proximity. Since they cannot grasp the dynamic information of the number of patients in the selected hospital, they often encounter too many patients in the selected hospital. , the waiting time is too long

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A doctor recommendation method based on multi-source data analysis
  • A doctor recommendation method based on multi-source data analysis
  • A doctor recommendation method based on multi-source data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0056] like figure 1 As shown, a kind of medical consultation recommendation method based on multi-source data analysis provided by the present invention comprises the following steps:

[0057] The first step is to register the information of medical and health institutions in the jurisdiction through the network;

[0058] Medical and health institution information includes the following:

[0059] The name and address of the medical institution;

[0060] Area of ​​medical and health institutions;

[0061] Brief introduction of medical and health institutions, including types of departments (seeing items), medical level of each department, brief introduction of medical conditions of each department, and contact numbers, etc.;

[0062] The evaluation level of the patient in the past visits.

[0063] During the specific implementation proce...

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 hospitalizing recommendation method based on multi-source data analysis. The hospitalizing recommendation method includes registering information of medical and health organizations in a community through a network; collecting hospitalizing item information and location information of users, and sending hospitalizing recommendation requests; according to the hospitalizing recommendation requests, performing multi-source data fusion according to information of the medical and health organizations, current population distribution densities of the medical and health organizations and the location information of the users to acquire possibilities that the medical and health organizations are selected by the users within a certain time period; ranking the medical and health organizations according to values of the selection possibilities; releasing the top ten of the medical and health organizations and the geographical locations of the users by calling a map application programming interface; navigating according to routes of the medical and health organizations finally selected by the users on a map. The hospitalizing recommendation method achieves real-time hospitalizing recommendation, and provides the users with hospitalizing recommendations more suitable for users' needs and convenient navigation services.

Description

technical field [0001] The invention relates to the field of multi-source data analysis, in particular to a method for recommending medical treatment based on multi-source data analysis. Background technique [0002] At present, when residents choose a hospital for treatment, most of them adopt the principle of attraction or the principle of proximity. Since they cannot grasp the dynamic information of the number of patients in the selected hospital, they often encounter too many patients in the selected hospital. , The waiting time is too long. [0003] The maturity of mobile phone positioning technology and the rapid growth of mobile phone users provide an implementable environment for the realization of population space-time dynamic monitoring. At present, the mobile phone positioning technology has been able to locate the target object and continuously track its position change information. On this basis, the corresponding population movement trajectory analysis can be ...

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 Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/29G06F16/9537G06Q50/22
Inventor 许德玮
Owner WUHAN POST & TELECOMM RES INST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products