Thesis Project Form
Title (tentative): Development of a multidisciplinary platform MIMAS database for early diagnosis of motor dysfunctions in newborns| Thesis advisor(s): Fato Marco Massimo, Massimiliano Izzo, PhD - Ospedale G. Gaslini - Maura Casadio - DIBRIS | E-mail: |
| Address: Via All'Opera Pia, 13 - 16145 Genova | Phone: (+39) 010 33 52789 |
Description
Motivation and application domain
MIMAS (Markerless Infant Movement Analysis System) is a software package developed at the University of Hiroshima in cooperation with UNIGE & IIT. It uses a single low-cost camera and it provides a number of indicators of natural movements in the cradle to be evaluated immediately after birth for at term as well pre-term children, according to the theory of General Movements. This is considered a promising approach for early identification of children at high risk for developmental disorders.
General objectives and main activities
The general objectives and activities are :
1. design and configure the data types required by the project (patient, imaging, video,...)
2. develop and test dedicated modules to store and retrieve bulk data (i.e. files) on the platform
3. install the system on a production server and run performance tests
4. develop a library to upload on the platform al the existing data
5. extract features of interest from the data using SQL analytic tools or machine learning techniques (i.e. clustering)
1. design and configure the data types required by the project (patient, imaging, video,...)
2. develop and test dedicated modules to store and retrieve bulk data (i.e. files) on the platform
3. install the system on a production server and run performance tests
4. develop a library to upload on the platform al the existing data
5. extract features of interest from the data using SQL analytic tools or machine learning techniques (i.e. clustering)
Training Objectives (technical/analytical tools, experimental methodologies)
The things that I will learn:
1.Object-oriented programming in JavaScript language for a modern server engine (Node)
2.Development, installation, and management of a complex multi-module biomedical platform on a Linux server
3.Schemaless (JSON-based) management of heterogenous biomedical metadata in a relational database (PostgreSQL)
4.Data analysis, using SQL analytics functions or machine learning techniques
1.Object-oriented programming in JavaScript language for a modern server engine (Node)
2.Development, installation, and management of a complex multi-module biomedical platform on a Linux server
3.Schemaless (JSON-based) management of heterogenous biomedical metadata in a relational database (PostgreSQL)
4.Data analysis, using SQL analytics functions or machine learning techniques
Place(s) where the thesis work will be carried out: Biolab - Ospedale Gaslini
Additional information
Pre-requisite abilities/skills: Programmazione, Gestione data-base
Maximum number of students: 1