Titlebook: Smart Healthcare and Machine Learning; Mousmi Ajay Chaurasia,Prasanalakshmi Balaji,Alejan Book 2024 The Editor(s) (if applicable) and The

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AB-BiL: A Deep Learning Model to Analyze Depression Detection in Imbalanced Data,n people depressed worldwide. The objective of depression detection is to maximize the availability and accuracy of intervention. In existing works, depression detection has been done based on various machine and deep learning models. Previous depression detection utilizing social media-related data

ACRID

,Synchronization Analysis of Complex-Valued Artificial Neural Networks with Distributed Delays in Meddition, artificial neural networks (ANNs) are a powerful tool for machine learning because they can be trained to recognize patterns in data, and they can be used to make predictions about new data. In comparison to conventional real-valued artificial neural networks (RVANNs), complex-valued artifi

杂色

Deep Q-Learning-Based Neural Network for Secure Data Transmission in Internet of Things (IoT) Healtians, patients, clinical and nursing staff, and medical equipment. Both possibilities and challenges for information sharing and gathering arise from the network’s scale and diversity. Ensuring patients’ safety and privacy requires safeguarding the medical equipment they use, with a focus on patient

保守党

Integrating Artificial Intelligence for Enhanced Tuberculosis Diagnosis and Management: A Comprehencough, sneeze, or spit, the infection spreads via the air. It is possible to prevent and treat tuberculosis, and it is believed that the TB bacteria has infected about 25% of the world’s population. In the end, 5–10% of TB-infected individuals will have symptoms and develop TB illness. It cannot be

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An Effective Cost-Sensitive Learning Approach for Detection of COVID-19 with Lung Diseases,networks (CNNs) to improve COVID-19 identification performance and address the class imbalance problem. The proposed method uses cost-sensitive learning with a CNN model specifically designed to address the problem. Chest X-ray images of individuals with COVID-19 and lung diseases were used in this

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Reliable and Efficient Healthcare System Using Artificial Intelligence,ehension of what‘s more excellent typically than now not termed as prudent attitude, and with the introduction of items that present off that conduct. It’s the branch of engineering. AI is transforming into a famed region in design because it has prolonged human existence in countless fields. AI has

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Advancing Precision Medicine: An Exploration of Hybrid Deep Learning Approaches for Automated Humanumour localization in MRI images. Traditional methods struggle with the complexity and variability of brain structures, necessitating a more adaptive approach. The proposed framework combines Convolutional Neural Networks, Recurrent Neural Networks, and attention mechanisms to improve the model’s ab