HI HEALTH
Upik05HIHEALT global ecosystem analyst based on artificial intelligence. Personal ecosystem to diagnose the human body in real time 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.
WHAT IS HI HEALTH
Hi:Health is global medical ecosystem based on artificial language for complex personalized diagnostics of the human organism in real time. Using the data of medical examinations of a large number of patients, as well as health monitoring gadgets, we train artificial intelligence to conduct early diagnosis of various diseases and to find the previously uncovered cause-effect relationships between the functioning of the systems and organs of the body and the occurrence of diseases. AI will be able to analyze slightest deviations, which human can’t notice, and to get more accurate survey results (such as,electrocardiogram) as a result of their cleaning from the noise generated by the instruments. Also, with the help of AI, it will be possible to check the effectiveness of treatment in realtime and correct the doctor’s prescriptions.
In addition, we collect data on DNA analysis. This will allow to conduct early diagnosis of potential parents, including their compatibility, undertake more detailed planning towards pregnancy, recognizing the possibility of manifesting genetic and hereditary diseases not during intrauterine diagnosis, but at the stage of preparation for conception.
In order to verify users, to provide medical secrecy, secure storage of data, transfer of information between the doctor and the patient, and for testing the authenticity of diagnostic gadgets, will be used Blockchain – Ethereum and decentralized file-sharing service Ethereum swarm.The HIH token is the Ethereum-token, which can be accepted as a mean of payment when paying for medical services,medical equipment (gadgets) connected to HI:Health ecosystem. And also earn tokens on your PERSONAL HEALTH. All users of the HI: Health ecosystem are obliged to accept the HIH token when calculating for any medical.
How it works
Opportunities Options of the platform for a person
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 ability of artificial intelligence when using algorithms to analyze IR radiation
AI algorithms analyse the data obtained, based on the experience of thousands of doctors around the world and millions of studies, determining the slightest correlation between the changes in gadgets and the results of human tests.
Identifies the patterns and sources of a disease.
Artificial Intelligence makes recommendations for lifestyle management based on the possibility of disease occurrence.
Creates an individual treatment and nutrition plan
Controls the consumption of medications
Tracking the treatment process
Tracker for real-time data collection
Rocketbody
Body temperature
Rhythm of breath
Physical activity level
Blood alcohol level
The level of hemoglobin in the blood
Blood pressure
ECG
Heart rhythm
Electrode behind the wristElectrode for the finger
To take readings from the Rocketbody bracelet, attach a finger to the faceplate of the bracelet
The watch monitors the ECG autonomously
The patented algorithm processes and records the result
Ecosystem for a doctor
Exchanging the work at analyzing
medical data to ecosystem tokens
Sharing tokens for the access to the courses of disease with the established health data
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 personalize 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 Centres
Research Centres 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.
What is the Mining Date
Data Mining is the collective name for a combination of detecting technologies among previously unknown, non-trivial, interpretable data that are operationally useful and available from the knowledge needed to make decisions in different areas of human activity
Data Mining technology is a powerful tool of modern business analytics and data research to find hidden patterns and build approximate models. Data Mining is not based on speculation, but on real data.
Data mining tasks
Classification
The easiest and most common data mining tasks. In the result of completing the classification task, one can find indicators that characterize the group of objects of the studied dataset (class). According to this indicator a new object can be classified.
Methods for handling tasks
To complete a classification task one can use several methods including Nearest Neighbor, k-Nearest Neighbor, Bayesian Networks, induction of decision trees, neural networks.
Clustering
Clustering is a logical follow-up to the idea of classification. This task is more complicated; the hallmark of grouping is that the object class is not predefined. The result of grouping divides objects into groups. Examples of methods for handling grouping tasks: “unattended learning”, special types of neural networks – self-governing maps of Kohonena.
HIH TOKEN
For further development of the platform, machine learning of neural networks and becoming selfsufficient,
the company will require additional funding.The necessary funds are planned to be collected with
the help of ICO. During the ICO, Hi:Health will issue 1,000,000,000 HI tokens, most of which will be available for sale.
HIH tokens based on Ethereum blockchain and they will be needed for fully using the platform by users.While the use of the basic functions of services based on the HiHealth platform will be free of charge, some of the functionality will be provided on a fee basis (including in the form of commissions for various payments), and as payment for settlements with HiHealth services, only HIH tokens will be accepted.
HI HEALTH STRUCTURE
ROADMAP HI HEALTH
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,launch broker’s date.
Main Team HI Health
Aleksandr Potkin
CEO, Co Founder
Konstantine Perzhukov
CFO, Co Founder
Eugene Koval
CTO, Co Founder
Egor Stepanichtchev
CIO
Michael Zhalevich
BLOCKCHAIN ARCHITECTOR AND SOFTWARE DEVELOPMENT TEAM LEAD
Pavel Yeschenko
BLOCKCHAIN DEVELOPER
Vladislav Vasilchyk
SYSTEM ANALYST
Aliaksey Mkrtychan
DATA SCIAINCE DEVELOPER
Andrei Lapanik
DATA SCIENCE SISTEM ARCHITECT
Volha Hedranovich
MSC DATA SCIENTIST
Salman Qadir
INTERNATIONAL BUSINESS MANAGER
Eugene Makeychik
DESIGN
Expert Advisors
Timafei Lipski
Advisor (CEO RocketBody)
Dr. Michael J. Kaldasch
Advisor
Dr. Ben El Idrissi
Advisor
Irina Spekman
Advisor
Adrian Brathwaite
Advisor
Varad Shambhawa
Advisor
Richard Trummer
Advisor
John Van der Vos
Advisor
Amarpreet Singh
Advisor
Shohel Alam
Advisor
More Information Contact :
Website : https://hihealth.io/
Whitepaper : https://hihealth.io/assets/_HiHealthWPv0.1ENG.pdf
ANN Thread: https://bitcointalk.org/index.php?topic=3252889.msg33879027#msg33879027
Telegram: https://t.me/HiHealth0
Facebook: https://www.facebook.com/hihealthapp/
Twitter: https://twitter.com/hihealthapp
Author : Upik05
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