Hallo meet me again sarta afdal, I will explain Blog I will introduce about HI : HEALTH project, and for more details let's go to the following discussion:
PRESENTATION
Blockchain technology, created by Satoshi Nakamoto in 2008, ensures that transactions entered into the ledger can not be changed over time. As applied to bitcoin cryptocurrency (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 power of the system comes from the use of a distributed database compared to the current monetary system that requires a centralized database such as that used by credit card companies and banks. Applying this same technology to medical research increases trust in results because just like bitcoin, transactions (collected scientific data) are permanently archived in an unchanging and unchanging way. Money exchange, just like the implementation of medical research, requires a high level of trust.
Medical research in the past has sought to create a high level of confidence through peer reviews conducted by leading medical journals such as the New England Journal of Medicine. Both methods result in trust relying on a trusted central authority, either government or medical journals. Thus, both methods are particularly vulnerable to fraud through corruption or innocent errors from centralized authorities. This has led to widespread distrust in medical research. Bitcoin operates differently, therefore establishing a method of relying on distributed networks based on mathematical algorithms, rather than centralized authorities vulnerable to human error.
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.
The problem is in the field of medicine
Only in the United States and the EU, hundreds of thousands of patients die every year because of a doctor's diagnostic error. The economic costs associated with complications encountered in prescribed wrongful drugs are over $ 100 billion per year.
The main reasons for misdiagnosis are as follows:
Doctors specialize in certain organs or organism systems and often can not see the whole picture;
Lack of experience and physician problems in knowledge often lead to situations, when rare diseases can not be identified;
The lack of time that doctors have to analyze medical history, the reason is the high doctor's workload (appointment with the patient) as well as the documentation takes a lot of time;
Complexity in the definition of disease according to X-rays, CT, MRI studies, histologic examinations during non-standard types of disease, and also high dependence on subjective experience by an expert.
Based on the artificial intelligence of neural networks it will be possible to make a large number of differences in the field of medical diagnosis.
How does it work?
Opportunities Choice of platform for someone:
Downloading personal medical data
Safe and anonymous medical data storage
Appreciate in the form of getting tokens (tokens allow extending application functionality, buying health and life insurance)
Anonymous sales of your data for platform tokens
Analyze data using artificial intelligence to diagnose disease at an early stage
Purchase and connect tested devices (gadgets) for the diagnosis of organisms in an express manner
Make an appointment to undergo a medical examination
Seek and buy proven medications
Ability of artificial intelligence when using algorithms to analyze IR radiation
The AI algorithm analyzes the data obtained, based on 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 makes recommendations for lifestyle management based on the likelihood of disease occurrence
Create individual care and nutrition plans
Controlling the consumption of drugs
Keep track of the maintenance process
Tracker for real-time Rocketbody data collection
Body temperature
Rhythm of breath
Level of physical activity
Levels of alcohol in the blood
Levels of hemoglobin in the blood
Blood pressure
EKG
Heart rhythm
Ecosystem for doctors
Online consultation for patients
Sharing experiences with colleagues
Collaborative patient care
Monitor the truth of taking medication by the patient
Online controls the patient's treatment process
Identify more accurate sources of disease with the help of AI
Access to neural networks for a fee.
Ecosystems for Business
The insurance company accepts a more accurate account of the possibility of an insured event. Increase their profits by minimizing the risk of paying insurance premiums. Selling health insurance through application
Pharmaceutical companies receive statistical reports on the sale of medicines, localized disease (urban) and the effects of drugs on a person. To personalize treatment, data can be obtained from a DNA database about a person's predisposition to a particular disease according to his geographic residence.
Clinics improve methods of treatment and prevention of human diseases
Research centers and developers can use the benefits of data mining (detection of titles in databases) to obtain patterns. In today's global competition, knowledge of the patterns found can provide additional benefits
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-regulating maps of Kohonena.
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,
TEAM
Aleksandr Potkin: CEO, CFO
Salman Qadir: International Business Manager
Egor Stepanichtchev: CIO
Konstantin Rerzhukou: SOFTWARE DEVELOPMENT
Eugene Makeychik: DESIGN
Michael Zhalevich: DEVELOPMENT BLOKCHAIN
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 : sarta afdal17
My Bitcoitalk :
https://bitcointalk.org/index.php?action=profile;u=1519661
My Eth : 0x77921cc7e185e9d57a27DB0adf45f07cC2e91034
