Research paper: “Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach” (CMBEBIH & MEDICON 2023)

Mr Dejan Babic presented the research paper “Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach” on a joint event CMBEBIH & MEDICON 2023 which held place in Sarajevo, Bosnia and Herzegovina from September 14th to September 16th. The paper presented a comprehensive analysis of the use of Machine Learning and Artificial Intelligence techniques in the sense of predicting the risk, and therefore evaluate their potential in identifying patients with possibilities of developing cardiovascular disease.

Mr Dejan Babic presented his research paper "Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach" at CMBEBIH&MEDICON 2023
Mr Dejan Babic presented his research paper “Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach” at CMBEBIH&MEDICON 2023

ABSTRACT – Cardiovascular disease is one of the most common causes of death in the world. Usual practice in medicine is estimation of 10 years risk of patients developing cardiovascular disease. This practice enables taking preventive measures such as early medical treatments and lifestyle changes. The key step is to accurately assess the risk where the patients can be treated accordingly. With advancement of Artificial Intelligence and ML in medicine, this study aims to present a comprehensive analysis of the use of these techniques in the sense of predicting the risk, and therefore evaluate their potential in identifying patients with possibilities of developing cardiovascular disease. First, an analysis of the working dataset is provided. Then, various traditional classification models are implemented and trained on the dataset, and their performance is compared. The classifying models used in this research include SVC, KNN etc. The results of this study are presented in systematic comparison, where the performances of all the models are represented with discussion about challenges and possible limitations of the data regarding this particular problem. Normalization and oversampling techniques were used and reduced the overfitting problem.

Experiment results
Results of the experiment

The program for the joint event CMBEBIH & MEDICON 2023

Our team members will participate in the joint event CMBEBIH & MEDICON 2023 Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) International Conference on Medical and Biological Engineering (CMBEBIH). Several young researchers submitted their research results and conference papers for presentation at the MEDICON conference. The focus of these research papers is applying AI to different problems in health and medicine domain. The current version of the conference program is available at the following link.

The joint event will take place in Sarajevo in Sep 2023

Master thesis: The use of Artificial Intelligence on Edge (Edge AI)

Mr Ivan Jovovic, a young researcher from UDG, just defended his Master thesis on the use of artificial intelligence and machine learining on edge devices. This research was supported in part by HPC4S3ME project and EUROCC. His thesis included some great examples of AI applications in digital agriculture. Mr Jovovic intends to continue his research in this domain and to enroll PhD program at the UDG. Mr Jovovic explored the use of different tools for ML and he also experimened with the use of HPC for training prediction models that can be ported onto edge devices. He was one of the first MSc theses defended from the Artificial Intelligence Master program created under the EuroCC project.

ABSTRACT – This thesis explores the combination of artificial intelligence, machine learning, deep learning, and edge computing in modern applications, with a special focus on medicine and agriculture. The paper first introduces the reader to the basic terms and definitions of machine learning, deep learning, computer vision, the Internet of Things and Edge computing. After the theoretical basis, the work provides an insight into the practical applications of these technologies in medicine and agriculture, highlighting the benefits and drawbacks of their applications. In the following, the paper offers a detailed study of practical examples of edge artificial intelligence in agriculture and healthcare, as well as artificial intelligence in the field of medicine, with focus on disease classification. Through the realization and implementation of these projects, the interpretation of the results and the discussion, the paper emphasizes the importance of the integration of artificial intelligence and edge computing in various industries.

Master thesis: The use of Artificial Intelligence on Edge (Edge AI)

Enterprise Europe Network WB++ Networking event

University of Donja Gorica participated in the Enterprise Europe Network workshop called WB++ Networking Event. The topic of the event was “Digitalization in Agri-Food. The main participants were teams and SMEs active in the field of IT from the region as presenters, and the target audience was interest groups including public entities, companies, research groups, individuals, etc.

WB++ Netweorking Event by EEN
Around 45 attendees were in the event

The WB++ event is a joint initiative of partners from the countries of the Western Balkans (+Slovenia +Croatia) with the aim of connecting companies and strengthening partnerships and connections in the region. There was over 40 attendees at the networking event and UDG presented several projects related to digitalization in agri-food sector. HPC4S3ME was also featured in the presentation.

UDG presented project related to digitalization in agri-food
HPC4S3ME was featured in the presentation

The Enterprise Europe Network consists of almost 600 partner organizations and institutions, provides excellent contacts and links in 54 countries and connects over 3,000 experts in different fields at the local and international level. Through the FINNO platform, free consulting services are offered for sources of financing for innovation, business internationalization and business growth.

HPC4S3ME presented on InnovateYourFuture workshop

A very successful two-day workshop for students and industry took place on April 22nd and 23rd 2023, on which young researches from HPC4S3ME gave lectures. The workshop was organized in the context of the training project called “Competency Training for IoT and AI – InnovateYourFuture” supported by ANSO – Alliance of International Science Organizations, China. The organization is done in collaboration with EuroCC Montenegro and Montenegrin AI Association. During the event, UDG also presented HPC4S3ME project, as well as some of other projects currently implemented at UDG.

ML and IoT in agriculture
ML/AI in medicine
ANSO InnovateYourFuture Workshop on 22-23 April 2023
Lecture on ML and Data preparation

HPC4S3ME presented at IEEE IT2023

HPC4S3ME project was presented by prof. dr Tomo Popovic and doc. dr. Luka Filipovic at the 27th IEEE International Conference – Information Technology – IT2023. The conference had a special session dedicated to presentation of project results for the projects implemented in Montenegro and the region. The conference program is available at the following link.

The project presented by prof. dr Tomo Popovic and doc. dr Luka Filipovic
Proposing the use of HPC and AI for research in Montenegrin S3 priority domains
The project was presented in the conference session dedicated to EU projects