Hi:Health global ecosystem analyst based on artificial intelligence

Health is one of the main factors affecting the quality of human life and the participation of its workforce. However, in recent years, the world's situation on many diseases has worsened, including diabetes, cardiovascular disease, and more.
This is illustrated by World Health Organization reports. Experts claim that there are many factors that affect the health of the world's population: among them are environmental damage, increased stress levels, worsening of nutritional situation due to too much sugar, hormones and chemical components used in the product. Prophylaxis and prevention of illness in the future is a much cheaper and effective way to maintain health and prolong life, rather than cure disease. However, it is not always a predictable disease even if a person is continuously undergoing a medical examination, and most people know about an ex post facto disease attack. The lack of accurate predictions makes treatment more complicated and more expensive, and often even makes full recovery impossible. Result of,
The situation in this area can be substantially improved by a combination of drugs and artificial intelligence in a syncretic mixture. The modern selflearning system makes it possible to conduct a real-time comprehensive diagnosis of organisms with high accuracy, to identify previously unknown patterns between indicators of human organism activity and morbidity risk, to warn about the possible state of acute chronic illness. Implementing artificial intelligence will allow people to manage their health strategically. Because with credible knowledge about the risks a person will be able to take the necessary steps to prophylaxis the disease. That is precisely the mission to be met Hi Health.

What is Hi: Health?
Hi: Health is a global ecosystem analyst based on artificial intelligence. Personal ecosystem to diagnose the human body in real time.
Applying medical reports to a large number of patients, as well as indicators of health control tools, we teach artificial intelligence to ensure early diagnosis of different diseases and to determine unidentified causal relationships 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.

Downloading personal medical data
Secure and anonymous storage of medical data
Rewarding in the form of getting tokens (tokens allow extending the application functionality, purchasing health and life insurance)
Anonymous sales of your data for platform tokens
Analysing data using artificial intelligence for diagnosing diseases at early stages
Purchasing and connecting tested devices (gadgets) for express diagnosing of the organism
Making appointments for undergoing medical examination
Searching and purchasing proven drugs

The Ecosystem for Business
Insurance companies
Insurance companies receive a more accurate calculation of the probability of occurrence of an insured event. Increase their profits by minimizing the risks of paying insurance premiums. Selling health insurance through applications

Pharmaceutical companies
Pharmaceutical companies receive statistical reports on the sales of medicines, typical regional (urban) diseases and the effects of medicines on a person. In order to personalise the treatment, the data can be obtained from the DNA database about the predisposition of a person to certain diseases according to his/her geographical residence

Clinics
Clinics improve the methods of treatment and prevention of human diseases

Research Centers
Research centers and developers can use the benefits of data mining (the detection of titles in databases) in order to obtain patterns. In the current global competition, the knowledge of the discovered patterns can give additional advantage.

Hi:Health cryptocurrency
To perform calculations on the project, HiN tokens are used. In total, 1 billion tokens were issued, of which 70%were allocated for sale. The cryptocurrency is based on Ethereum and is developed according to the ERC-20 standard. Thus, it is compatible with a variety of cryptocurrency wallet. Preliminary sales on the project were successfully completed in March of the current year, the main crowdsale lasts until the end of August

Roadmap
July - September 2017 Studying problems in medicine and finding solutions for developing strategic maps
October-December 2017 Writing Whitepaper, developing smart contracts, creating architecture and developing prototype platforms, setting up marketing strategies.

January-April 2018 Run Pre-ICO, the pre-order RocketBody gadget, create a legal basis
May-August 2018 Launch of ICO, Issuance & HiHealth v1.0 with functions to collect (purchase) user data, partner programs with CIS clinics and laboratories,
August-January 2019 Buy medical data, process medical data, teach artificial intelligence, Buy medical data, process medical data, teach neural networks Predict the possibility of heart attack by analyzing multiple points of view (height, age, ECG / Echo reading, analysis, chronic morbidity) Diagnostic complaints common or disease based on blood chemistry symptoms and patients.

February-July 2019 Launch and publish HiHealth v2.0 with personal artly intelligent helper, broker launch date.
August 2019 Health and life insurance,

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