Titlebook: Artificial Intelligence Applications and Innovations; 20th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Antonios Papale Conference pr

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Advanced Mortality Prediction in?Adult ICU: Introducing a?Deep Learning Approach in?Healthcareing multiple models, such as CatBoost, LightGBM, Feedforward Neural Networks (FNNs) and Extra Trees, yielded higher performance, achieving an AUC of 0.873 and an accuracy of 81.82%, compared to the respective metrics delivered by the traditional APACHE IV model (AUC: 0.819). The current study bridge

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Data Augmentation Techniques for?Cross-Domain WiFi CSI-Based Human Activity RecognitioniFi CSI. We collect and make publicly available a dataset of CSI amplitude spectrograms of human activities. Utilizing this data, an ablation study is conducted in which we train activity recognition models based on the EfficientNetV2 architecture, allowing us to evaluate the impact of each augmenta

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Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Predictiohlights its ability to correctly diagnose monkeypox resulting in a much lower false negatives or fewer missed cases of monkeypox crucial in halting its community spread. The integration of these models in the clinical setting can serve as a decision support tool for prompt monkeypox recognition. As

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Human-In-The-Loop Based Success Rate Prediction for Medical Crowdfunding of 98.2%, recall rate of 86.4%, and F1 score of 89.2% on the binary classification task. Further analysis reveals the primary factors influencing crowdfunding success to be the target amount and the duration of the fundraising campaign. These results prove the efficacy of incorporating HITL into th

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Image-Based Human Action Recognition with?Transfer Learning Using Grad-CAM for?Visualization simulating a more extensive dataset, mitigating the overfitting risk, and enhancing the model’s generalization abilities. The effectiveness of our model was quantified by a training accuracy of 88.43% and a validation accuracy of 77.30%. To interpret the model’s decision-making process, we integrat

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Optimization of?Healthcare Process Management Using Machine Learningt wait times and refine overall healthcare logistics. By amalgamating cutting-edge technologies with strategic methodologies, healthcare entities can leverage the transformative capabilities of machine learning to enhance operational efficiency and elevate the delivery of patient care.

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Revisiting the?Problem of?Missing Values in?High-Dimensional Data and?Feature Selection Effectmechanisms (Missing at Random-MAR, Missing Completely at Random-MCAR, Missing Not at Random-MNAR) and percentages of missingness (10%, 20%, 50%). Least absolute shrinkage and selection operator (LASSO) regression was employed on the imputed data to examine how the choice of different IMs, under diff

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The Role of Epigenetics in OCD: A Multi-order Adaptive Network Model for DNA-Methylation Pathways antroduces an epigenetic therapy to counteract the OCD symptoms by demethylating the OXTR gene. The simulated hypothetical therapy shows the potential to relieve OCD symptoms. Epigenetic drugs used in diseases like cancer, do indeed suggest potential for usage in other disorders like OCD.