HI: HEALTH - DATE BROKER OF PERSONAL MEDICAL DATA
The Blockchain technology, invented by Satoshi Nakamoto in 2008, ensures that transactions entered into the book can not be changed over time. As applied to crypto currency (BTC), the result is a monetary system that can not be manipulated by a centralized government, because it creates a permanent and accurate record of all transactions. The strength of the system comes from the use of a distributed database compared to current monetary systems that require a centralized database, for example, used by companies and credit card banks. Application of the same technology in medical research increases confidence in the results, because, like bitkoyn, transactions (collected scientific data) are constantly archived unchanged, unchanged. Exchange of money, like conducting medical research, requires a high level of trust.
Medical research in the past has attempted to create a high level of trust through peer review conducted by reputable medical journals, such as the New England Journal of Medicine. Both methods of building trust rely on a trusted central authority, whether it be a government or a medical journal. Thus, both methods are very susceptible to fraud through corruption or innocent errors of a centralized authority. This led to a wide distrust of medical research. Bitcoin works differently because it establishes a method for using a distributed network based on a mathematical algorithm, rather than a centralized authority that is subject to human error.
Hi: Health
Hello: Health is a global ecosystem analyst, based on artificial intelligence. A personal ecosystem for real-time diagnosis of the human body.
Using medical reports of a large number of patients, as well as indicators of a health gadget, we teach artificial intelligence to provide early diagnosis of various diseases and identify previously unidentified cause-effect relationships between the functioning of organs and body systems and an outbreak of diseases. AI will be able to analyze the smallest deviations that a person can not notice, and also obtain more accurate survey results (for example, an electrocardiogram) arising from the cleaning of noise devices. Also with the help of Al, one could monitor the effectiveness of treatment in real time and adjust the prescriptions of the doctor.
Problem in the field of medicine
Only in the US and the EU do hundreds of thousands of patients die each year because of incorrect diagnoses of doctors. The economic costs associated with complications arising from improper prescribing of drugs are more than $ 100 billion per year.
The main causes of erroneous diagnoses are:
Doctors specialize in certain organs or in the body system and often can not see the overall picture;
Lack of experience and problems with physicians in the field of knowledge often lead to a situation where rare diseases can not be detected;
The lack of time that a doctor conducts for the analysis of the medical history is the high workload of the doctor (meetings with patients), and the documentation takes a considerable amount of time;
The complexity of the definition of the disease in accordance with X-ray studies, CT, MRI, histological examination for non-standard form of the disease, as well as a high dependence on the subjective experience of a specialist.
On the basis of neural networks, artificial intelligence will make a huge difference in the field of medical diagnosis.
How it works?
Features Platform options for humans:
Uploading of personal medical data
Secure and anonymous storage of medical data
The reward in the form of obtaining tokens (tokens allow to extend the functionality of the application, to acquire health and life insurance)
Anonymous sales of your data for platform tokens
Analysis of data using artificial intelligence for the diagnosis of diseases in the early stages
Purchase and connection of test devices (gadgets) for express diagnostics of the body
Appointment for medical examination
Search and purchase of proven drugs
The ability of artificial intelligence when using algorithms for IR analysis
AI algorithms analyze the data obtained, based on the experience of thousands of doctors around the world and millions of studies, determining the slightest correlation between changes in gadgets and the results of human tests.
Identifies patterns and sources of the disease
Artificial intelligence provides guidance on lifestyle management based on the possibility of disease occurrence
Creates an individual treatment and nutrition plan
Controls the consumption of medicines
Tracking the treatment process
Tracker for real-time data collection Rocketbody
Body temperature
Rhythm of breathing
The level of physical activity
The level of alcohol in the blood
The level of hemoglobin in the blood
Blood pressure
ECG
Heart rhythm
Ecosystem for the doctor
Online patient consultations
Exchange of experience with colleagues
Joint treatment of patients
Monitoring of the correctness of medication by patients
Online control of the patient treatment process
Determining a more accurate source of the disease using AI
Access to neural networks on a fee basis.
Ecosystem for business
Insurance companies receive a more accurate calculation of the probability of occurrence of an insured event. Increase your profits by minimizing the risks of paying insurance premiums. Sale of health insurance through applications
Pharmaceutical companies receive statistical reports on sales of medicines, typical regional (urban) diseases and the effects of drugs on humans. To personalize the treatment, the data can be obtained from the DNA database about a person's predisposition to certain diseases in accordance with his geographical location
Clinics improve methods of treatment and prevention of human diseases
Research centers and developers can take advantage of data mining (detection of headings in databases) for obtaining templates. In the current global competition, knowledge of the detected patterns can give an additional advantage
What is mining ?
Data Mining is a collective name for a combination of technologies that reveals among previously unknown, nontrivial, operatively useful and accessible interpretations of knowledge necessary for decision-making in various spheres of human activity
Data Mining Technologies is a powerful tool for modern business intelligence and data mining for finding hidden patterns and building forecast models. Data Mining is based not on speculation, but on real data.
Data Mining Tasks
Classification
The simplest and most common task of data mining. As a result of the classification task, it is possible to find indicators that characterize the groups of objects in the data set (classes) under study. According to these indicators, a new object can be classified.
Methods for solving the problem
Some methods can be used to perform the classification task, including Nearest Neighbor, k-Nearest Neighbor, Bayesian Networks, decision tree induction, neural networks.
Clustering
Clustering is the logical continuation of the idea of classification. This task is more complicated; a characteristic feature of clustering is that classes of objects are not specified in advance. The result of clustering is the separation of objects into groups. An example of a method for solving the clustering problem: "uncontrolled learning," a special kind of neural networks, is the self-organizing map of Kohonen.
Road map
July - September 2017 Study of problems in medicine and search for solutions for developing a strategic map
October-December of 2017. Writing a document, developing a smart contract, creating an architecture and developing a prototype platform, preparing a marketing strategy.
January-April 2018 Launch Pre-ICO, pre-order Gadget RocketBody, create a legal framework
May-August 2018 Launch of ICO, publication and HiHealth v1.0 with the functionality of collecting (purchasing) user data, partner programs with clinics and laboratories of the CIS,
August-January 2019 Purchase of medical data, processing of medical data, training in artificial intelligence, purchase of medical data, processing of medical data, training in neural networks. Prediction of a possible heart attack by analyzing different points of view (height, age, ECG / echo, tests, chronic incidence) Diagnosis of common complaints or diseases based on the chemical composition of the blood and the symptoms of the disease.
February-July 2019 Issue and publication of HiHealth v2.0 with a personal artificially intelligent helper, the launch date of the broker.
August 2019 Health and life insurance,
command
Alexander Potkin: General Director, Chief Financial Officer
Salman Kadir: International Business Manager
Yegor Stepanychchev: CIO
Konstantin Roerzhuk: SOFTWARE DEVELOPMENT
Evgeny Makeichik: DESIGN
Mikhail Zhalevich: DEVELOPMENT OF LOCK
Evgeny Koval: SOFTWARE DEVELOPMENT
Pavel Eshchenko: DEVELOPMENT OF THE BLOCKER
Vladislav Vasilchik: SYSTEM ANALYST
Alexy Mkrtychan: DEVELOPMENT OF DATA SCIENCES
Volga Hedranovich: SCIENTIFIC DATA MSC
Andrey Lapanik: ARCHITECT OF THE DATA SYSTEM
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