Health Information Science and Systems

Papers
(The TQCC of Health Information Science and Systems is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?116
Automated detection of mild and multi-class diabetic eye diseases using deep learning85
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies71
Automated epilepsy detection techniques from electroencephalogram signals: a review study64
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images57
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain53
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network53
COVID-19 infection map generation and detection from chest X-ray images52
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults44
Detecting autism spectrum disorder using machine learning techniques42
How can social media analytics assist authorities in pandemic-related policy decisions? Insights from Australian states and territories39
Improving accessibility of the Australian My Health Records while preserving privacy and security of the system34
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network33
The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection33
An algorithm for Parkinson’s disease speech classification based on isolated words analysis27
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes27
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning24
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis24
Automatic breast lesion segmentation in phase preserved DCE-MRIs23
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation22
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network20
RSMOTE: improving classification performance over imbalanced medical datasets18
Fusion of whole and part features for the classification of histopathological image of breast tissue18
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification18
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count17
Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data16
Hand tremor detection in videos with cluttered background using neural network based approaches15
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy15
Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset14
Optical coherence tomography image based eye disease detection using deep convolutional neural network13
The correlation of everyday cognition test scores and the progression of Alzheimer’s disease: a data analytics study13
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration13
MHA: a multimodal hierarchical attention model for depression detection in social media13
Analysis of the global situation of COVID-19 research based on bibliometrics13
Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading13
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images12
Local feature descriptors based ECG beat classification12
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services12
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos11
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation11
A method of VR-EEG scene cognitive rehabilitation training11
Predicting special care during the COVID-19 pandemic: a machine learning approach10
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images10
GLIMPSE: a glioblastoma prognostication model using ensemble learning—a surveillance, epidemiology, and end results study10
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs10
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning10
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