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Machine
Learning

Solutions for Clients who want to make use of the capabilities of “artificial intelligence” to build the success of their Company.

NUMBER OF IMPLEMENTED PROJECTS: 5
WHAT IS IMPORTANT FOR US WHEN WE IMPLEMENT A PROJECT:
  • Data base quality.
  • Time necessary for “learning”.
  • Close cooperation with the Client during the implementation – continuous cooperation in testing.
WHY IT IS WORTH WORKING WITH DVS:
  • We successfully implement solutions that take advantage of artificial intelligence for successful management in such a demanding sector as health care.
References
The Da Vinci team is a team of professionals with impeccable work culture and organizational structure ensuring stability of cooperation and, often unique, flexibility. Our cooperation so far is a sufficient basis to recommend Da Vinci Studio as a reliable, trustworthy business and future joint ventures partner.
The Da Vinci company conducted for us a number of IT works related to maintenance, development and support of our e-commerce system. To this day, our company uses their services in its operation activities. We are pleased with this cooperation and wish everybody to work with a business partner of such level of culture and professionalism as Da Vinci.
Cooperation with Da Vinci Studio was very good throughout the entire period and fulfilled our exceptions.
I am pleased to recommend the services of Da Vinci Studio Felski i Polak sp. j. to all stakeholders.
Selected Realization
Da Vinci Medica

CLIENT: Da Vinci Medica

PURPOSE OF THE PROJECT: A system for analyzing and monitoring the hospital market in terms of medicines, medical goods and hospital equipment.

SOLUTION: The analytical system developed for Clients in the field of health protection in Poland containing data and analyses important for decision-makers.

In Da Vinci Medica advanced machine learning scripts were used in order to develop a solution that will enable big data to be used for control, and stable, successful health service management. One of the most important elements of the analytical process is the proper preparation of data for analysis, so the developed analytical system enables fast and convenient access to reliable data and analyses that have already undergone an extensive verification process.

Selected materials can be converted to CSV, MS Excel and PDF formats with ready graphs for further, more advanced work. The system, on the basis of saved data important for the users, selects specific information and informs of new data in the selected range, allowing to have the current knowledge of the market.

The project is under the patronage of the Institute of Healthcare Management of the Lazarski University, whose mission is to undertake researches to improve the effectiveness of the health care system in Poland.

Technologies

Amazon

Python

Scikit Learn

Tensorflow

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