Hi: Health Is A Global Ecosystem Analyst Based On Artificial Intelligence


HIHealth is a global medical ecosystem based on artificial intelligence for the intricate personal diagnosis of organisms in real time. Personal ecosystem to diagnose the human body in real time. Discovering the source, pattern of disease progression, and preventing future illnesses. Using medical survey data from a large number of patients, as well as gadget indicators to control health, we train artificial intelligence to make early diagnosis of various diseases and to detect previous causal communication found between the functions of the system and the body organs and the occurrence of disease. AI will be able to analyze minimal, inconspicuous human eyes, deviate indicators from norms, and also to obtain more accurate inspection results (eg ECG) as a result of their cleaning of the noise generated by the instrument. Also with the help of AI can be monitored in real time the effectiveness of treatment and adjust the appointment of a doctor.

What is Hi: Health?
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 the early diagnosis of different diseases and to determine the unidentified causal relationship 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-ray, CT, MRI studies, histologic examination 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 the database) 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 Data mining tasks are easiest and most common. 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 accomplish one's classification tasks 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",

TEAM
  • Aleksandr Potkin: CEO, CFO
  • Salman Qadir: International Business Manager
  • Egor Stepanichtchev: CIO
  • Konstantin Rerzhukou: SOFTWARE DEVELOPMENT
  • Eugene Makeychik: DISIGN
  • Michael Zhalevich: DEVELOPMENT BLOKCHAIN
  • Eugene Koval: SOFTWARE DEVELOPMENT
  • Pavel Yeschenko: BLOKCHAIN DEVELOPMENT
  • Vladislav Vasilchyk: SYSTEM ANALYSIS
  • Aliaksey Mkrtychan: SCIAINCE DATA DEVELOPMENT
  • Volha Hedranovich: MSC DATA SCIENTIST
  • Andrei Lapanik: DATA SCIENCE SYSTEM ARCHITECT
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, pre-order RocketBody gadget, create legal basis May-August 2018 Launch of ICO, publication & HiHealth v1.0 with functions to collect (buy) user data, partner programs with CIS clinic and laboratory, August -January 2019 Buying medical data, processing medical data, teaching artificial intelligence, Buying medical data, processing medical data, teaching neural networks Predicting the possibility of heart attack by analyzing multiple points of view (height, age, ECG / Echo reading, analysis, chronic morbidity ) Diagnostic of common complaints or diseases based on blood chemistry and patient symptoms. February-July 2019 Release and publish HiHealth v2.0 with personally artificial intelligent helper, date of launch broker. August 2019 Health and life insurance,


Author (x xurtjati)


My ETH: 0x1E0141D7fa5C340d404A73aAFBBcf5d74CE06564

Komentar

Posting Komentar

Postingan populer dari blog ini

Сетевые модули - интеллектуальный контракт на создание платформы, которая позволяет владельцам оборудования (поставщикам услуг)

Gambar
Сетевые устройства - это способ разработки многопользовательских игр и предлагают разработчикам простой способ интеграции многопользовательских функций. Мы будем использовать функциональные возможности Ethereal blockchain и smart contract для создания платформы, которая позволяет владельцам аппаратного обеспечения (поставщикам услуг) делиться неиспользуемой пропускной способностью и ресурсами ЦП с разработчиками, которые традиционно просят свои собственные серверы использовать свои многопользовательские и токен-функции для этого , могут получать токены с платформы, подключая их портфели к своим игровым счетам, чтобы стать активными подписчиками. Вот почему сетевые блоки имеют уникальные процессы добычи в двух совершенно разных, но интересных способах получения токенов. Зачем играть в мультиплеер? Игры с многопользовательским аспектом делают геймеров дольше. В режиме реального времени шутеры от первого лица обычно имеют однопользовательские и многопользовательские режимы,
Baca selengkapnya

Игры и спортивная индустрия

Gambar
Сегодня не только забавная деятельность в играх позволяет пользователям вводить положительные эмоции, такие как любопытство, оптимизм и креативность, но также становится регулярным графиком, приносящим прибыль в виде eSports. Быстро растущее явление вокруг eSports продолжает собирать пар, поскольку игровые и спортивные пересечения предлагают волну инновационных возможностей брендинга, включающую контент и активацию для миллионов людей во всем мире. За последние несколько лет игра стала частью многих людей во всем мире, в которых миллионы людей участвуют и получают меньше дохода от этого, а иногда даже вообще нет. Индивидуумы считают это просто забавным, пока eSports не приходит на помощь с монетизацией eSports. Хотя они приходят на их помощь, но их экосистема не отстает, потому что геймеры не могут получать от нее значительный доход. Рынок ESports переживает быстрый рост, хотя на стадии формирования. К 2016 году мировые доходы, вырученные на рынке eSports, составят 492,7 млн.
Baca selengkapnya

BOUTSPRO Utilizing Blockchain Technology In Karate Promotion

Gambar
What is that? "BOUTSPRO WORLD" IS A GENERAL GLOBAL STRUCTURE AFFECTING BY 100 MILLION KARATE COMMUNITY AND DEVELOPING ECO SYSTEM VERY ROBUST FOR ALL KIND OF KARATE - TRADITIONAL, SPORTS & CONTACTS KARATE. The professional sports organization of the karate world BoutsPro launched its own crypto currency. BoutsPro will transform the ecosystem of about 190 million martial communities. He will turn amateur tournaments into professionals around the world according to the roadmap, designed for the next 4 years. The main purpose of crypto currency launch is to transform karate into professional karate, as well as sport for the future. Signs from BoutsPro will create ecosystems for different types of programs and financial activities. SPORTS AMATEUR OR PROFESSIONAL Amateur Karate is defined as a sport in which athletes must bear all expenses related to training and their participation in tournaments in most countries. Professional karate is defined
Baca selengkapnya