Hi: Health: Ecosystem to Diagnose Human Body in Real Time
Introduction
Medical research in the past has sought to create a high level of confidence through peer reviews conducted by leading medical journals such as the New England Journal of Medicine. Both methods result in trust relying on a trusted central authority, either government or medical journals. Thus, both methods are particularly vulnerable to fraud through corruption or innocent errors from centralized authorities. This has led to widespread distrust in medical research. Bitcoin operates differently, therefore establishing a method of relying on distributed networks based on mathematical algorithms, rather than centralized authority prone to human error.
Background
Applying medical reports to a large number of patients, as well as indicators of health control tools, we teach artificial intelligence to ensure the early diagnosis of different diseases and to determine the unidentified causal relationship between organ function and body system and disease outbreaks. AI will be able to analyze a few deviations, which humans can not take note of, and also to get more accurate survey results (eg, electrocardiogram) generated from cleaning the device from noise. Also with Al's help it would be possible to monitor the effectiveness of treating in real time and correct doctor prescription.
About HI: Health?
Global Ecosystem Analyst - the current brokerage of personal medical data based on artificial intelligence and blockchain technology. Personal ecosystem to diagnose the human body in real time. Discover sources, models of developing diseases, and prevent future illnesses.
How does it work?
- Opportunity Choice of platform for someone
- Downloading personal medical data
- Safe and anonymous medical data storage
- Appreciate in the form of getting tokens (tokens allow extending application functionality, buying health and life insurance)
- Anonymous sales of your data for platform tokens
- Data analysis uses artificial intelligence to diagnose disease at an early stage
- Buy and connect tested devices (gadgets) for clear organism diagnosis
- Make an appointment to undergo a medical examination
- Find and buy proven drugs
The ability of artificial intelligence when using algorithms to analyze IR radiation:
-The AI algorithm analyzes the data obtained, based on the experience of thousands of physicians worldwide and millions of studies, determining the slightest correlation between changes in gadgets and human test results.
-Identify patterns and sources of disease.
-Artificial Intelligence makes recommendations for lifestyle management based on the likelihood of disease occurrence.
-Create individual care and nutrition plans.
-Controlling the consumption of drugs.
Electrode behind wrist electrode for finger
To take a reading of the Rocketbody bracelet, place your finger on the face plate of the bracelet
The watch monitors ECG independently
The patented algorithm processes and records the results.
Mobile app
Ecosystem for doctors
Redeem work in analyzing medical data for ecosystem tokens
Distribute tokens for access to disease programs with established health data
Ecosystems for Business
Insurance company
The insurer receives a more accurate account of the possibility of an insured event. Increase their profits by minimizing the risk of paying insurance premiums. Selling health insurance through application.
Pharmaceutical companies
Pharmaceutical companies receive statistical reports on the sale of drugs, local (urban) and drug effects to a person. To personalize treatment, data can be obtained from a DNA database about a person's predisposition to a particular disease according to his geographic residence.
Clinic
Clinics improve methods of treatment and prevention of human diseases
Research Center
Research centers and developers can use the benefits of data mining (detecting titles in the database) to obtain patterns. In today's global competition, knowledge of the patterns found can provide additional benefits.
For more information visit
WHITEPAPER: https://drive.google.com/file/d/13cYRMmS5XucoEaNt6eGZ5hgqzTbveif1/view?usp=sharing
Website: https://hihealth.io/
Facebook: https://www.facebook.com/hihealthapp/
Twitter: https://twitter.com/hihealthapp
Telegram Group: https://t.me/HiHealth0
Linkedin: https://www.linkedin.com/groups/12093592
Author: Adikusnadi
My Bitcointalk profile: https://bitcointalk.org/index.php?action=profile