MedHub_360 | Advanced Medical-Healthcare Application
kandi X-RAY | MedHub_360 Summary
kandi X-RAY | MedHub_360 Summary
MedHub_360 is a JavaScript library. MedHub_360 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Registration The web application have a facility for the users to register as either doctors or patients. After registering you can login as a doctor or patient using the same credentials used for registration. After logging in both of them would have access to specific features of the application. They will have a unique authentication ID so that their data is completely protected and giving access to specific users securely. Data Retrieval System So much medical data will obviously not be typed by the patient or else the whole purpose of saving time will be defeated. Hence, the application will do the job itself by scanning paperwork and storing all the relevant data. Once the users as patients or doctors upload their reports we extract all the necessary information and store it in our database respectively. Medical Record Analytics This would enable online storage of the data of the user's medical reports. It will help preserve the data and avoid the hassle of carrying the documents for every consultation. It will also be presented in a pictorial manner so that it is easier to grasp by the patient and even more easy for the doctors to diagonise the patients as for doctors they can get the graphical analysis in pictorial format of a particular patient by giving that particular USER ID. The Analysis of Blood Sugar Levels, Blood Count Levels etc are shown in a graphical manner. For Doctors all Analytics section is also there where the average data of Blood Sugar, Blood Count etc are shown user wise of patients and doctors so that how a particular user average value varies among all can be analysed. Disease Prediction The disease prediction by the application will alert the patient to take immediate action before the situation turns sour as in our hectic lives as we don't take the time out for routine checkups. Some symptoms will be asked to the users and by those results a disease will be predicted. Also if there is some discrepancy or negligence from the side of the doctor, the patient will realise that.
Registration The web application have a facility for the users to register as either doctors or patients. After registering you can login as a doctor or patient using the same credentials used for registration. After logging in both of them would have access to specific features of the application. They will have a unique authentication ID so that their data is completely protected and giving access to specific users securely. Data Retrieval System So much medical data will obviously not be typed by the patient or else the whole purpose of saving time will be defeated. Hence, the application will do the job itself by scanning paperwork and storing all the relevant data. Once the users as patients or doctors upload their reports we extract all the necessary information and store it in our database respectively. Medical Record Analytics This would enable online storage of the data of the user's medical reports. It will help preserve the data and avoid the hassle of carrying the documents for every consultation. It will also be presented in a pictorial manner so that it is easier to grasp by the patient and even more easy for the doctors to diagonise the patients as for doctors they can get the graphical analysis in pictorial format of a particular patient by giving that particular USER ID. The Analysis of Blood Sugar Levels, Blood Count Levels etc are shown in a graphical manner. For Doctors all Analytics section is also there where the average data of Blood Sugar, Blood Count etc are shown user wise of patients and doctors so that how a particular user average value varies among all can be analysed. Disease Prediction The disease prediction by the application will alert the patient to take immediate action before the situation turns sour as in our hectic lives as we don't take the time out for routine checkups. Some symptoms will be asked to the users and by those results a disease will be predicted. Also if there is some discrepancy or negligence from the side of the doctor, the patient will realise that.
Support
Quality
Security
License
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Support
MedHub_360 has a low active ecosystem.
It has 2 star(s) with 3 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
MedHub_360 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MedHub_360 is current.
Quality
MedHub_360 has no bugs reported.
Security
MedHub_360 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MedHub_360 does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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MedHub_360 releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MedHub_360
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MedHub_360
MedHub_360 Key Features
No Key Features are available at this moment for MedHub_360.
MedHub_360 Examples and Code Snippets
No Code Snippets are available at this moment for MedHub_360.
Community Discussions
No Community Discussions are available at this moment for MedHub_360.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MedHub_360
You can download it from GitHub.
Support
Take a look at the Existing Issues or create your own Issues!Wait for the Issue to be assigned to you after which you can start working on it.Fork the Repo and create a Branch for any Issue that you are working upon.Create a Pull Request which will be promptly reviewed and suggestions would be added to improve it.Add Screenshots to help us know what this Script is all about.
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