RAIN - Artificial Intelligence & Machine Learning Application
![Radiology Artificial Intelligence Network](https://riipen-platform2-ca-central-1-production.s3.ca-central-1.amazonaws.com/uploads/company/11565/avatar/medium-c7856188-510a-4638-9f62-ba0806064bc2.jpeg)
Preferred learners
- Anywhere
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
Our company offers a machine learning application, and we want to leverage the latest technology to gain market advantage. Applications of this technology include clinical support algorithms, predictive analytics for waitlist, and automatic reporting.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques and have a market analysis done with a marketing strategy.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analyzing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Developing predictive analytics that customers across the industry are interested in.
- Providing multiple solutions that can be applied to solve the same problem.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Identification of ways in which AI / ML can be applied to our company
Bonus steps would include:
- Providing multiple versions of potential models
Final deliverables should include
- A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
- Source materials such as code and workbooks.
- What is the main goal for this project?
-
Our company offers a machine learning application, and we want to leverage the latest technology to gain market advantage. Applications of this technology include clinical support algorithms, predictive analytics for waitlist, and automatic reporting.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques and have a market analysis done with a marketing strategy.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analyzing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Developing predictive analytics that customers across the industry are interested in.
- Providing multiple solutions that can be applied to solve the same problem.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Identification of ways in which AI / ML can be applied to our company
Bonus steps would include:
- Providing multiple versions of potential models
Final deliverables should include
- A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
- Source materials such as code and workbooks.
About the company
- https://www.google.ca
- 2 - 10 employees
- Hospital, health, wellness & medical
Radiology AI Network (RAIN) is a team of healthcare professionals looking to automate the workflow within healthcare departments. Building a program that allows mangers and supervisors to process diagnostic imaging requisitions and run algorithms with analytics for healthcare organizations.
Portals
![ICT Ignite](https://riipen-platform2-ca-central-1-production.s3.ca-central-1.amazonaws.com/uploads/portal/1144/avatar/xsmall-abce43caa88278901832adc0be96b805.png)
![ICT Ignite](https://riipen-platform2-ca-central-1-production.s3.ca-central-1.amazonaws.com/uploads/portal/1144/avatar/xsmall-abce43caa88278901832adc0be96b805.png)