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A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets
A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets
Machine learning models are used to develop and improve various disease prediction systems. Ensemble learning is a machine...
The Heavy Ions Therapy Research Integration plus project
The Heavy Ions Therapy Research Integration plus project
Two important reasons are reducing the spread of heavy ion therapy and the access of a greater number of patients to this ...
Head and neck cancers: reporting indications and results of hadrontherapy of a dual beam facility
Head and neck cancers: reporting indications and results of hadrontherapy of a dual beam facility
To review experience and indications for head and neck (HN) tumors at our center in relation to the published literature. ...
Visibility enhancement of brain tumor affected MRI images using adaptive heuristic process
Visibility enhancement of brain tumor affected MRI images using adaptive heuristic process
Magnetic resonance imaging (MRI) is a frequently used system in medical imaging and disease interpretation. Most of the ti...
Accelerator-based neutron sources for BNCT
Accelerator-based neutron sources for BNCT
In this paper we compare the main AB-BNCT facilities worldwide in terms of neutron-producing nuclear reactions, existing t...
ENLIGHT (European Network for Light Ion Hadron Therapy) and its role in Hadron therapy
ENLIGHT (European Network for Light Ion Hadron Therapy) and its role in Hadron therapy
This study provides a comprehensive overview of the progress in hadron therapy within Europe, particularly highlighting th...
An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealth
An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealth
Acute decompensated heart failure (ADHF) is the most prevalent cause of acute respiratory distress worldwide, accounting f...
Impact of national recognition on medical physicist job positions in Indonesia: survey study from 2015–2021
Impact of national recognition on medical physicist job positions in Indonesia: survey study from 2015–2021
National recognition of the medical physicist profession in Indonesia was initiated by the Ministry of Health Decree in 20...
Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms
Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms
Laser markers installed on the walls and ceiling of the bunker are usually used for patient positioning in radiotherapy. T...
Microdosimetry in BNCT
Microdosimetry in BNCT
This paper explores the application of microdosimetry in the context of Boron Neutron Capture Therapy (BNCT). In particula...
Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects
Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects
Artificial intelligence (AI) has contributed to the advancement of medical research, particularly cancer research. AI tech...
Patient’s skin dose estimation and investigation of factors for dose reduction in fluoroscopy guided procedures
Patient’s skin dose estimation and investigation of factors for dose reduction in fluoroscopy guided procedures
The purpose of this study was to assess patient dose and investigate the parameters affecting patient’s dose during ...
Multiple thoracic diseases detection from X-rays using CX-Ultranet
Multiple thoracic diseases detection from X-rays using CX-Ultranet
Recent developments in deep learning have demonstrated impressive performance in accurately identifying individual disease...
Awareness and knowledge on breast cancer screening among reproductive aged women in some parts of Ghana
Awareness and knowledge on breast cancer screening among reproductive aged women in some parts of Ghana
Breast cancer is the commonest cancer and the leading cause of cancer deaths among women. However, information about breas...
Analyzing third-party data leaks on online pharmacy websites
Analyzing third-party data leaks on online pharmacy websites
With digitalization, using essential digital services such as online services has become increasingly common. These servic...
Low-grade magnetic resonance image enhancement using adaptive sigmoid transformation function
Low-grade magnetic resonance image enhancement using adaptive sigmoid transformation function
Medical images are crucial to monitor a patient’s health and provide an accurate diagnosis. Medical photos typically...
Assessing ASPECTS and ICH score reliability on NCCT scans via SMART INDIA App and PACS by neurologists and neuro-radiologists
Assessing ASPECTS and ICH score reliability on NCCT scans via SMART INDIA App and PACS by neurologists and neuro-radiologists
Inter-rater reliability is a critical aspect of stroke image interpretation. This study aims to investigate inter-rater re...
The use of technology in global health humanitarian settings: how theory plays out in practice
The use of technology in global health humanitarian settings: how theory plays out in practice
This research seeks to provide an overview of guidelines from the Handbook for Data Protection in Humanitarian Settings, w...
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Parkinson’s disease (PD) is one of the most prevalent neurodegenerative diseases in the global context. The...
Health disparity in digital health technology design
Health disparity in digital health technology design
The rapid development of digital health technology has transformed the current medical practice. However, lack of consider...
Training protocol for driving power wheelchairs using virtual environment: preliminary results from a pilot study
Training protocol for driving power wheelchairs using virtual environment: preliminary results from a pilot study
Despite the advancements in power wheelchair simulators, there is still a lack of standardized tests to determine a user&#...
COVID-19 vaccine prediction based on an interpretable CNN-LSTM model with three-stage feature engineering
COVID-19 vaccine prediction based on an interpretable CNN-LSTM model with three-stage feature engineering
Vaccine supply planning remains a critical and challenging issue for developing countries due to the limited resources and...
Detection of Cardio Vascular abnormalities using gradient descent optimization and CNN
Detection of Cardio Vascular abnormalities using gradient descent optimization and CNN
The purpose of this study is to propose an advanced methodology for automated diagnosis and classification of heart condit...