[HTML][HTML] Sentiment analysis of clinical narratives: a scoping review

K Denecke, D Reichenpfader - Journal of Biomedical Informatics, 2023 - Elsevier
A clinical sentiment is a judgment, thought or attitude promoted by an observation with
respect to the health of an individual. Sentiment analysis has drawn attention in the …

Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective study

W Sheng, X Wang, W Xu, Z Hao, H Ma… - Frontiers in …, 2023 - frontiersin.org
Introduction Venous thromboembolism (VTE) risk assessment at admission is of great
importance for early screening and timely prophylaxis and management during …

A novel approach of ensemble methods using the stacked generalization for high-dimensional datasets

SR Sharma, B Singh, M Kaur - IETE Journal of Research, 2023 - Taylor & Francis
Stacked generalization-based heterogeneous ensemble methods combine the prediction of
multiple classifiers to improve overall classification performance. Several stacking methods …

Combining Machine Learning and Ontology: A Systematic Literature Review

S Ghidalia, OL Narsis, A Bertaux, C Nicolle - arXiv preprint arXiv …, 2024 - arxiv.org
Motivated by the desire to explore the process of combining inductive and deductive
reasoning, we conducted a systematic literature review of articles that investigate the …

[PDF][PDF] CNN Ensemble Approach to Detect COVID-19 from Computed Tomography Chest Images.

H Alhichri - Computers, Materials & Continua, 2021 - cdn.techscience.cn
In January 2020, the World Health Organization declared a global health emergency
concerning the spread of a new coronavirus disease, which was later named COVID-19 …

Evaluation of the impact of body mass index on venous thromboembolism risk factors

F Tajik, M Wang, X Zhang, J Han - PLoS One, 2020 - journals.plos.org
In this paper, we investigate the interaction impacts of body mass index (BMI) on the other
important risk factors for venous thromboembolism (VTE), using deep venous thrombosis …

Time series forecasting to predict the evolution of the functional profile of the elderly persons

J Rojo, E Moguel, C Fonseca, M Lopes… - … III: Contributions to the …, 2021 - Springer
There are many pathologies and capacity losses that progress with a similar evolution
profile in certain groups of people. Health professionals are becoming increasingly …

Artificial bee colony and deep neural network-based diagnostic model for improving the prediction accuracy of diabetes

AK Srivastava, Y Kumar, PK Singh - … Journal of E-Health and Medical …, 2021 - igi-global.com
A large number of machine learning approaches are implemented in healthcare field for
effective diagnosis and prediction of different diseases. The aim of these machine learning …

Mixed artificial reasoning, closer to human?

S Ghidalia, OL Narsis, A Bertaux, C Nicolle - 2022 - researchsquare.com
AI is now used in many areas of our daily life, however we still have difficulties to make
machines interact with our world as we perceive it. Humans mainly use two types of …

Objective-Driven Modular and Hybrid Approach Combining Machine Learning and Ontology

OL Narsis, E Dujardin, C Nicolle - 2023 15th International …, 2023 - ieeexplore.ieee.org
Hybrid artificial intelligence is rapidly advancing, particularly in the domain of combining
ontology and machine learning models. However, existing approaches in this field still …