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When can cancer patient treatment nonadherence be considered intentional or unintentional? A scoping review

PloS one, 2023-05, Vol.18 (5), p.e0282180-e0282180

2023

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Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study

Journal of medical Internet research, 2015-06, Vol.17 (6), p.e144-e144

2015

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Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities

Sensors (Basel, Switzerland), 2021-01, Vol.21 (3), p.776

2021

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A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews

World wide web (Bussum), 2020-05, Vol.23 (3), p.1811-1829

2020

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Application of Quantum Natural Language Processing for Language Translation

IEEE access, 2021, Vol.9, p.130434-130448

2021

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Reordering and Partitioning of Distributed Quantum Circuits

IEEE access, 2022, Vol.10, p.70329-70341

2022

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Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals

Mathematics (Basel), 2023-01, Vol.11 (2), p.464

2023

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Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques

Mathematics (Basel), 2022-12, Vol.10 (23), p.4570

2022

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Insights into relevant knowledge extraction techniques: a comprehensive review

The Journal of supercomputing, 2020-03, Vol.76 (3), p.1695-1733

2020

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Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

Brain informatics, 2023-12, Vol.10 (1), p.10-10, Article 10

2023

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Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review

PeerJ. Computer science, 2022-08, Vol.8, p.e1042-e1042, Article e1042

2022

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A systematic review of literature on credit card cyber fraud detection using machine and deep learning

PeerJ. Computer science, 2023-04, Vol.9, p.e1278-e1278, Article e1278

2023

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Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media

Brain informatics, 2023-12, Vol.10 (1), p.28-28, Article 28

2023

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Notice of Removal: Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques

IEEE access, 2022, Vol.10, p.44531-44548

2022

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Detecting Depression Using Single-Channel EEG and Graph Methods

Mathematics (Basel), 2022-11, Vol.10 (22), p.4177

2022

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Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis

PeerJ. Computer science, 2024-04, Vol.10, p.e1950-e1950, Article e1950

2024

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Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security

Cyber Security and Applications, 2024, Vol.2, p.100033, Article 100033

2024

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Enhanced deep learning algorithm development to detect pain intensity from facial expression images

Expert systems with applications, 2020-07, Vol.149, p.113305, Article 113305

2020

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A novel genetic algorithm based system for the scheduling of medical treatments

Expert systems with applications, 2022-06, Vol.195, p.116464, Article 116464

2022

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A new nested ensemble technique for automated diagnosis of breast cancer

Pattern recognition letters, 2020-04, Vol.132, p.123-131

2020

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A two-stage decision model for information filtering

Decision Support Systems, 2012-02, Vol.52 (3), p.706-716

2012

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Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images

Pattern recognition letters, 2022-01, Vol.153, p.67-74

2022

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Ensemble neural network approach detecting pain intensity from facial expressions

Artificial intelligence in medicine, 2020-09, Vol.109, p.101954-101954, Article 101954

2020

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FedStack: Personalized activity monitoring using stacked federated learning

Knowledge-based systems, 2022-12, Vol.257, p.109929, Article 109929

2022

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The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space

Applied soft computing, 2020-12, Vol.97, p.106805, Article 106805

2020

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When can cancer patient treatment nonadherence be considered intentional or unintentional? A scoping review

Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study

Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities

A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews

Application of Quantum Natural Language Processing for Language Translation

Reordering and Partitioning of Distributed Quantum Circuits

Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals

Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques

Insights into relevant knowledge extraction techniques: a comprehensive review

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review

A systematic review of literature on credit card cyber fraud detection using machine and deep learning

Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media

Notice of Removal: Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques

Detecting Depression Using Single-Channel EEG and Graph Methods

Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis

Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security

Enhanced deep learning algorithm development to detect pain intensity from facial expression images

A novel genetic algorithm based system for the scheduling of medical treatments

A new nested ensemble technique for automated diagnosis of breast cancer

A two-stage decision model for information filtering

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images

Ensemble neural network approach detecting pain intensity from facial expressions

FedStack: Personalized activity monitoring using stacked federated learning

The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space

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