Health Information Science and Systems Q2 Claimed pending to validate
Health Information Science and Systems is a multidisciplinary journal that integrates computer science/information technology with health science and services, embracing information science research coupled with topics related to the modeling, design, development, integration, and management of health information systems. The scope includes: i) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, ii) data management, data mining, and knowledge discovery It has an SJR impact factor of 0,86.
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy: Open Choice
Type of publications:
Publication frecuency: -
2690 €
Inmediate OANPD
Embargoed OA0 €
Non OAMetrics
0,86
SJR Impact factor40
H Index57
Total Docs (Last Year)126
Total Docs (3 years)3044
Total Refs721
Total Cites (3 years)125
Citable Docs (3 years)5.07
Cites/Doc (2 years)53.4
Ref/DocOther journals with similar parameters
Journal of Patient-Reported Outcomes Q2
Health systems and reform Q2
Digital Health Q2
Applied Clinical Informatics Q2
Healthcare Informatics Research Q2
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Aims and Scope
Best articles by citations
Big data analytics in healthcare: promise and potential
Depression detection from social network data using machine learning techniques
A study on medical Internet of Things and Big Data in personalized healthcare system
Classification and prediction of diabetes disease using machine learning paradigm
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?
Ballistocardiogram signal processing: a review
Convolutional neural networks based efficient approach for classification of lung diseases
Cloud based framework for diagnosis of diabetes mellitus using K-means clustering
Dental caries diagnosis in digital radiographs using back-propagation neural network
Automated detection of mild and multi-class diabetic eye diseases using deep learning
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies
A machine learning autism classification based on logistic regression analysis
Automated epilepsy detection techniques from electroencephalogram signals: a review study
The use of self-quantification systems for personal health information: big data management activities and prospects
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm
COVID-19 infection map generation and detection from chest X-ray images
A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data
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