[HTML][HTML] OpinionMine: A Bayesian-based framework for opinion mining using Twitter Data

S Zervoudakis, E Marakakis, H Kondylakis… - Machine Learning with …, 2021 - Elsevier
This article studies opinion mining from social media with probabilistic logic reasoning. As it
is known, Twitter is one of the most active social networks, with millions of tweets sent daily …

Designing and implementing a collaborative health knowledge system

M Giannoulis, H Kondylakis, E Marakakis - Expert Systems with …, 2019 - Elsevier
The huge diversity and quantity of data and information, and the requirements for knowledge
extraction out of them put new challenges for knowledge management, synthesis, conflict …

INTEGRA: a web-based differential diagnosis system combining multiple knowledge bases

A Papakonstantinou, H Kondylakis… - Proceedings of the 13th …, 2020 - dl.acm.org
Diagnosis is one of the most important tasks of health providers with a tremendous impact
on patient's health and well-being. Although many diagnostic decision support systems have …

Prediction of covid-19 infection based on symptoms and social life using machine learning techniques

S Zervoudakis, E Marakakis, H Kondylakis… - Proceedings of the 14th …, 2021 - dl.acm.org
COVID-19 pandemic has affected nearly every aspect of life. Observing online the spread of
the virus can offer a complementary view to the cases that are daily officially recorded and …

[PDF][PDF] An Autism Screening Expert System: Reliability, Validity and Factorial Structure

M Mahmoudi, S Akbari-Zardkhaneh, AA Zadeh… - Autism-Open …, 2018 - academia.edu
Purpose: The main aim of the current study was to develop an expert system for screening
autism spectrum disorders. The statistical properties of the system were further examined …

MediExpert: An Expert System based on Differential Diagnosis focusing on Educational Purposes

A Papakonstantinou, H Kondylakis… - … Endorsed Transactions on …, 2020 - eudl.eu
The early and accurate identification of a disease is important for its effective treatment.
However, medical errors represent a serious problem and pose a threat to patient safety. To …

A Probabilistic Logic Program that Predicts COVID-19 Infection and the Possibility a Patient to Recover

N Papatheodorou, N Ntantinakis… - Proceedings of the 24th …, 2020 - dl.acm.org
COVID-19 is a disease that has infected almost the whole world and has been pronounced
as a global pandemic. The digital health domain has already tried to respond to the …

A Knowledge-based Model of Expert System to Assist Exclusive Breastfeeding Mother

DH Fudholi, L Iriani… - 2019 5th International …, 2019 - ieeexplore.ieee.org
Exclusive breastfeeding is crucial in the early newborn nutrition fulfillment with many
benefits such as preventing mental and behavioral disorders, supporting brain development …

Ανάπτυξη λογισμικού υποστήριξης και επισήμανσης καρδιαγγειακού κινδύνου για τον προληπτικό έλεγχο υγείας μαθητών

Η Χατζάκης - 2019 - didaktorika.gr
Εισαγωγή-Στόχοι μελέτης. Η πρώιμη ανίχνευση καρδιαγγειακών νοσημάτων και των
σχετιζόμενων με αυτά πρώιμων παραγόντων καρδιαγγειακού κινδύνου είναι ιδιαίτερα …

[引用][C] Machine Learning with Applications

S Zervoudakis, E Marakakis, H Kondylakis, S Goumas