HI:HEALTH - Date broker of personal medical data

Dealing with any illness can be easier when the reason for it is understood. Health problems can be caused by a person’s genetic make-up, lifestyle behaviours, exposure to toxic substances or other reasons. With multiple health problems, one illness or its treatment might lead to another. The reason for a disease might become clear after a long period of uncertainty, perhaps involving a large number of tests and investigations or being referred to many different health professionals. Sometimes people never know why they have one or more illnesses. If a medical reason cannot be found, then a person might form their own ideas, such as it being down to “bad luck.”

Hi:Health is a global ecosystem analyst based on artificial intelligence.Hi:Health will work with early detection of those diseases, increasing of which concerns WHO and other international organizations throughout the world that deal with health issues.

Applying medical reports of great amount of patients, and also indicators of health-control gadgets, we teach artificial intelligence to ensure early diagnosis of different illnesses and determine previously unidentified cause-and-effect relationship between functioning of body organs and systems of the body and outbreak of diseases. AI will be able to analyze slightest deviations, which human can’t notice, and also to get more accurate survey results resulting from clearing devices of noise. Also with the help of Al it would be possible to monitor effectiveness of treating in real time and correct doctor's prescriptions.

In World hundreds of thousands of patients die annually due to doctors’ misdiagnoses. The economic cost connected with complications that encountered in wrong prescription of drugs is more than $100 billion per year.
The doctors are specialized in certain organs or organism's system and often can’t see the overall picture.Lack of experience and doctors’ problems in knowledge often lead to situation, when rare diseases can be not identified.Lack of time that doctor has for analyzing medical history, the reason is doctor’s high workload and also documentation takes significant amounts of time.Based on neural networks artificial intelligence will allow to make a huge amount of difference in the field of medical diagnosis.

In order to verify users, to provide medical confidentiality, for safe storage of data, transfer of information between a doctor and a patient, and also for testing the authenticity of diagnostic gadgets, Blockchain – Ethereum and decentralized file-sharing service Ethereum swarm will be used.

Project Team :

Aleksandr Potkin: CEO, CFO
Salman Qadir: International Business Manager
Egor Stepanichtchev: CIO
Konstantin Rerzhukou: SOFTWARE DEVELOPMENT
Eugene Makeychik: DISIGN
Michael Zhalevich: BLOCKCHAIN DEVELOPMENT
Eugene Koval: SOFTWARE DEVELOPMENT
Pavel Yeschenko: BLOCKCHAIN DEVELOPMENT
Vladislav Vasilchyk: SYSTEM ANALYST
Aliaksey Mkrtychan: DATA SCIAINCE DEVELOPMENT
Volha Hedranovich: MSC DATA SCIENTIST
Andrei Lapanik: DATA SCIENCE SISTEM ARCHITECT

Website : https://hihealth.io/
Telegram : https://t.me/HiHealth0
Twitter : https://twitter.com/hihealthapp
Facebook : https://www.facebook.com/hihealthapp/
Linkedin : https://www.linkedin.com/groups/12093592
BitcoinTalk : https://bitcointalk.org/index.php?topic=3252889.msg33879027#msg33879027
Whitepaper : https://drive.google.com/open?id=13cYRMmS5XucoEaNt6eGZ5hgqzTbveif1/:

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My Bitcointalk Profile : https://bitcointalk.org/index.php?action=profile;u=1508495