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Health Care systems using machine learning algorithms презентация
Содержание
- 1. Health Care systems using machine learning algorithms
- 2. Content General description of the project Used
- 3. Goal: Development of client-server application which is
- 4. HealthAgent Human
- 5. Used technologies
- 6. Implementation of web-API
- 12. Sources of income Economic estimations
- 13. Success criteria Profitability Index = 43%
- 14. Thank you for a attention!!!
Content General description of the project Used technologies Implementation of web-API Project results Economic estimations Success criteria
Слайд 1Health Care systems using machine learning algorithms
Done by: Alimbayeva Z.K.
Supervisor: Yakunin
Слайд 2Content
General description of the project
Used technologies
Implementation of web-API
Project results
Economic estimations
Success criteria
Слайд 3Goal: Development of client-server application which is intended for health care.
Objectives:
Create a MVP of project as
client-server application on Django and IOS platform.
The societal vision: Creation of a application that will help in monitoring of well-being a person and give a predict value about personal data.
Solved problems: Storage, access and visualization of medical data, and analysis and design of expert recommendation systems for decision making using machine learning algorithms and time series analysis.
The societal vision: Creation of a application that will help in monitoring of well-being a person and give a predict value about personal data.
Solved problems: Storage, access and visualization of medical data, and analysis and design of expert recommendation systems for decision making using machine learning algorithms and time series analysis.
General description of the project
Слайд 4HealthAgent
Human resource:
-Team member:
Kazhenbayeva Gulnaz(IOS-developer)
Alimbayeva Zarina(back-end developer)
-mentors:
KBTU teachers
Слайд 13Success criteria
Profitability Index = 43%
In market has no competitors
Has
a big opportunities for changing health care sphere
Originality and relevance in today
Users get a motivation lead a healthy lifestyle
Originality and relevance in today
Users get a motivation lead a healthy lifestyle
