Hi:Health: Transforming the medical industry with Blockchain
Experts assert that there is a multitude of factors that effect the health of the world’s occupants: among them is deterioration of the environment, expanded levels of pressure, intensifying nutrition situation as a result of an excessive amount of sugar, hormones and concoction parts utilized as a part of items. Health is one of fundamental factors that impact the nature of human’s life and his work compel interest. Be that as it may, as of late, the world situation concerning numerous sicknesses is exacerbating, including diabetes, cardiovascular ailment and parts more. Prophylaxis and forestalling future sicknesses is substantially more less expensive and compelling method for keeping great health and drawing out life, than treatment of ailment. In any case, not generally sicknesses can be anticipated regardless of whether one continually experiences a medicinal examination, and the vast majority of individuals become acquainted with about the attack of illnesses ex post facto. Absence of exact forecasts makes treatment more confounded and more costly, and even regularly makes full recuperation inconceivable. Subsequently, individuals lose a tremendous measure of cash taking drugs with a point just to continue living, also recuperation.
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.
The issue in the field of drug
Just in USA and EU a huge number of patients bite the dust every year because of specialists’ misdiagnoses. The monetary cost associated with confusions that experienced in wrong remedy of medications is more than $100 billion every year.
The fundamental reasons of misdiagnoses are as per the following:
The specialists are represented considerable authority in specific organs or life form’s framework and frequently can’t see the general picture;
Absence of experience and specialists’ issues in information frequently prompt circumstance, when uncommon sicknesses can be not distinguished;
Absence of time that specialist has for examining therapeutic history, the reason is specialist’s high workload (meetings with patients) and furthermore documentation takes huge measures of time;
The many-sided quality in the meaning of the sickness as indicated by X-beam, CT, MRI thinks about, histological examination amid nonstandard sort of infection, and furthermore high reliance on subjective experience by a specialist.
In view of neural systems computerized reasoning will permit to have an enormous measure of effect in the field of medicinal determination.
How it functions?
Openings Options of the stage for a man:
Downloading individual restorative data
Secure and mysterious capacity of restorative data
Remunerating through getting (tokens permit broadening the application usefulness, buying wellbeing and extra security)
Unknown offers of your data for stage tokens
Examining data utilizing man-made consciousness for diagnosing sicknesses at beginning times
Acquiring and interfacing tried gadgets (devices) for express diagnosing of the life form
Making arrangements for experiencing medicinal examination
Seeking and obtaining demonstrated medications
The capacity of man-made brainpower when utilizing calculations to examine IR radiation
AI calculations break down the data got, in view of the experience of thousands of specialists around the globe and a large number of studies, deciding the smallest connection between’s the adjustments in devices and the consequences of human tests.
Distinguishes the examples and wellsprings of an illness
Man-made reasoning makes proposals for way of life administration in light of the likelihood of illness event
Makes an individual treatment and nourishment design
Controls the utilization of pharmaceuticals
Following the treatment procedure
Tracker for continuous data gathering Rocketbody
Cadence of breath
Physical action level
Blood liquor level
The level of hemoglobin in the blood
Biological system for a specialist
Online interviews of the patients
Sharing of involvement with partners
Community patients’ treatment
Observing the rightness of taking solution by patients
Web based controlling the procedure of patients’ treatment
Distinguishing the more precise wellspring of the ailment with the assistance of AI
Access to neural systems on an expense premise.
The Ecosystem for Business
Insurance agencies get a more exact figuring of the likelihood of event of a safeguarded occasion. Increment their benefits by limiting the dangers of paying protection premiums. Offering medical coverage through applications
Pharmaceutical organizations get measurable reports on the offers of meds, run of the mill provincial (urban) sicknesses and the impacts of medications on a man. So as to customize the treatment, the data can be gotten from the DNA database about the inclination of a man to specific ailments as per his/her land living arrangement
Centers enhance the strategies for treatment and counteractive action of human illnesses
Research focuses and designers can utilize the advantages of data mining (the recognition of titles in databases) keeping in mind the end goal to acquire designs. In the current worldwide rivalry, the information of the found examples can give extra preferred standpoint
What Date Mining is?
Data Mining is an aggregate name for blend of advances that distinguish among the data beforehand obscure, non-minor, operationally helpful and accessible translations of the learning required for settling on choices in different circles of human action
Data Mining advancements are a ground-breaking mechanical assembly of present day business investigation and a data explore for finding shrouded examples and building gauge models. Data Mining is construct not with respect to theory, but rather on genuine data.
Data mining errands
The least demanding and most regular Data mining errand. In the aftereffect of finishing the undertaking of order, one can find markers that describe gatherings of objects of examined dataset (classes). As per these markers the new question can be arranged.
The techniques for managing the errand
Keeping in mind the end goal to finish the errand of order one can utilize a few techniques including Nearest Neighbor, k-Nearest Neighbor, Bayesian Networks, enlistment of choice tree, neural systems.
Bunching is the legitimate follow-up to the possibility of characterization. This errand is more muddled; the trademark highlight of grouping is that classes of articles are not foreordained at first. The consequence of bunching is separating objects into gatherings. A case of strategy for managing the undertaking of grouping: “unsupervised taking in”, a unique sort of neural systems – self-arranging map Kohonena.
July – September 2017 Studying problems in medicine and finding solutions to develop a strategic map
October-December 2017 Writing Whitepaper, developing a smart contract, creating an architecture and developing a prototype platform, preparing marketing strategy.
January-April 2018 Run Pre-ICO, pre-order gadget RocketBody, create legal base
May-August 2018 Launching the ICO, publishing &HiHealth v1.0 with the functionality to collect (purchase) user data, partner programs with clinics and CIS laboratories,
August-January 2019 Buying medical data, processing medical data, teaching artificial intelligence, Buying medical data, processing medical data, teaching neural networks Prediction of possible heart attack by analyzing variety of viewpoints (height, age, EKG/Echo readings, analyses, chronic morbidity) Diagnostics of common complaints or diseases based on blood chemistry and patient symptoms.
February-July 2019 Release and publish HiHealth v2.0 with a personal artificially intelligent helper, launch broker’s date.
August 2019 Health and life insurance,
Aleksandr Potkin: CEO, CFO
Salman Qadir: International Business Manager
Egor Stepanichtchev: CIO
Konstantin Rerzhukou: SOFTWARE DEVELOPMENT
Eugene Makeychik: DESIGN
Michael Zhalevich: BLOCKCHAIN DEVELOPMENT
Eugene Koval: SOFTWARE DEVELOPMENT
Pavel Yeschenko: BLOCKCHAIN DEVELOPMENT
Vladislav Vasilchyk: SYSTEM ANALYST
Aliaksey Mkrtychan: DATA SCIENCE DEVELOPMENT
Volha Hedranovich: MSC DATA SCIENTIST
Andrei Lapanik: DATA SCIENCE SYSTEM ARCHITECT
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Authored by Danny_yell: https://bitcointalk.org/index.php?action=profile;u=1273420