Hi HEALTH - Is A Global Ecosystem Analyst Based on Artificial Intelligence

https://hihealth.io/

What is Hi:Health?

Hi:Health is a global ecosystem analyst based on artificial intelligence. The personal ecosystem for diagnosing a human body in real time.

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 (for example, electrocardiogram) 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.

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

Analyzing 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 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 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 improve the methods of treatment and prevention of human diseases

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 found patterns can give additional advantage

What Date Mining is?

Data Mining is a collective name for combinations of technologies that are not collected in the course of the spheres of human activity

Data Mining Technology is a powerful tool for modern business analytics and data research to discover hidden patterns and modeling forecasts. Data Mining is based on speculation, but on real data.

Data mining tasks

Classification

The data mining task is easiest and most common. In the result of completing the classification task, one can find the characteristics of the object group of the learned dataset (class). According to this indicator the 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 characteristic 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-regulating maps of Kohonena.

The possibility of artificial intelligence when using algorithms for IR analysis.

The AI algorithm analyzes data obtained from 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 provides guidance on lifestyle management based on the likelihood of disease

Creation of individual plans for care and nutrition

Control of drug use

Follow the maintenance process.

Tracker for real-time data collection

Rocketbody

Body temperature

Rhythm of breath

Level of physical activity

Levels of alcohol in the blood

Levels of hemoglobin in the blood

Blood pressure

EKG

Rhythm of the heart

Token Distribution

A fundamental element of the future growth of HIH tokens is supply constraints, we once produced 1,000,000,000 HIH tokens without additional emissions in the future. In the meantime, token demand will continue to increase, as they are a means of payment within the ecosystem. Thus, in accordance with the basic law of supply and demand, the token value will increase, as their demand will increase, and the offer will be the same.

In calculating the equilibrium price level, the following formula is used:

(User * check * L) / (sign * B) = Price

Where:

users - the number of users at the time of calculation;

check - the average monthly check of a single user while using the HIHealth platform capabilities and services;

token - the number of tokens produced (1 000 000 000 HiH);

L - general cycle of token reversal for several months (we take 3 units);

B - sending a token message on the exchange (if we take ETH trading statistics as a basis, it equals 25%).

Thus, with the number of users projected within 2 years of 1,000,000, with an average monthly user checking 0.1 ETH, we will get the equilibrium price level for the HIH tone, which is 0.0012 ETH after 2 years.

ROADMAP

uly - 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 base

May-August 2018 Launch of ICO, Issuance & HiHealth v1.0 with functions to collect (purchase) data users, partner programs with CIS clinics and laboratories,

August-January 2019 Buy medical data, medical data process, teach artificial intelligence, Buy medical data, medical data process, teach neural networks Prevalence, 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,

TEAM

Aleksandr Potkin: CEO, CFO

Salman Qadir: International Business Manager

Egor Stepanichtchev: CIO

Konstantin Rerzhukou: SOFTWARE DEVELOPMENT

Eugene Makeychik: DESIGN

Michael Zhalevich: DEVELOPMENT BLOCCHAIN

Eugene Koval: SOFTWARE DEVELOPMENT

Pavel Yeschenko: BLOKCHAIN ​​DEVELOPMENT

Vladislav Vasilchyk: SYSTEM ANALYSIS

Aliaksey Mkrtychan: DEVELOPMENT OF DATA SCIENCE

Volha Hedranovich: MSC DATA SCIENTIST

Andrei Lapanik: DATA SCIENCE ARCHITECTURE SYSTEM

Be part of this amazing project. Download whitepaper for a full spoon.

See you later ...



For more information, please visit:

Website: https://hihealth.io/

Whitepaper: https://hihealth.io/assets/_HiHealthWPv0.1ENG.pdf

JN 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 :  (kadutz25)

My Bitcointalk :  https://bitcointalk.org/index.php?action=profile;u=1097203

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