研飞ivySCI (青藤学术）

Health Information Science and Systems

短名	Health Inf Sci Syst
Journal Impact	4.50
国际分区	MEDICAL INFORMATICS(Q1)
期刊索引	SCI Q2中科院 3 区

ISSN	2047-2501
h-index
国内分区	医学(3区)医学医学信息(3区)

Health Information Science and Systems is a multidisciplinary journal that integrates artificial intelligence/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, smart health, artificial intelligence in medicine, and computer aided diagnosis, medical expert systems. The scope includes: i.) smart health, artificial Intelligence in medicine, computer aided diagnosis, medical image processing, medical expert systems ii.) medical big data, 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, iii.) data management, data mining, and knowledge discovery, all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, iv.) development of new architectures and applications for health information systems.

期刊主页

涉及主题	计算机科学医学人工智能心理学生物机器学习数学内科学工程类统计政治学经济法学物理哲学认知心理学病理模式识别（心理学）计算机视觉程序设计语言数据挖掘操作系统精神科语言学经济增长化学
出版信息	出版商: Springer，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2013，原创研究文献占比: 100.00%，自引率:10.60%， Gold OA占比: 33.33%

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Explainable federated learning scheme for secure healthcare data sharing

2024-9-13

Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network

2024-9-12

Explainable depression symptom detection in social media

2024-9-6

A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition

2024-9-4

Tree hole rescue: an AI approach for suicide risk detection and online suicide intervention

2024-9-3

Convolutional neural network framework for EEG-based ADHD diagnosis in children

2024-8-31

Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence

2024-8-24

Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization

2024-8-12

Comprehensive applications of the artificial intelligence technology in new drug research and development

2024-8-8

A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data

2024-8-3

Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder

2024-7-16

Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model

2024-7-12

A multi-source heterogeneous medical data enhancement framework based on lakehouse

2024-7-5

A transfer learning enabled approach for ocular disease detection and classification

2024-6-11

Harbor seal whiskers optimization algorithm with deep learning-based medical imaging analysis for gastrointestinal cancer detection

2024-5-15

Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing

2024-5-3

Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset

2024-4-28

A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification

2024-4-28

Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning

2024-4-18

A review of machine learning-based methods for predicting drug–target interactions

2024-4-12

Characterization of biliary and duodenal microbiota in patients with primary and recurrent choledocholithiasis

2024-4-4

Image-based second opinion for blood typing

2024-4-2

A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules

2024-3-23

Alterations of DNA methylation profile in peripheral blood of children with simple obesity

2024-3-18

Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals

2024-3-15

Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging

2024-3-11

Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN

2024-3-9

Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images

2024-3-9

Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data

2024-3-6

Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning

2024-3-6

Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing

2024-3-6

Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening

2024-3-6

Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network

2024-3-6

Identification of cancer driver genes based on hierarchical weak consensus model

2024-3-6

Mdpg: a novel multi-disease diagnosis prediction method based on patient knowledge graphs

2024-3-2

Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation

2024-2-29

Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration

2024-2-23

Hierarchical classification of early microscopic lung nodule based on cascade network

2024-2-23

Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification

2024-2-23

A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery

2024-2-17

Enhanced performance of EEG-based brain–computer interfaces by joint sample and feature importance assessment

2024-2-17

MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis

2024-1-23

Identification method of thyroid nodule ultrasonography based on self-supervised learning dual-branch attention learning framework

2024-1-17

From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine

2023-12-18

Self-supervised neural network-based endoscopic monocular 3D reconstruction method

2023-12-11

LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images

2023-12-11

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning

2023-12-1

Viewpoint-invariant exercise repetition counting

2023-12-1

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

2023-12-1

Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches

2023-11-27

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Health Information Science and Systems

期刊引文格式

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最新文章

Explainable federated learning scheme for secure healthcare data sharing

Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network

Explainable depression symptom detection in social media

A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition

Tree hole rescue: an AI approach for suicide risk detection and online suicide intervention

Convolutional neural network framework for EEG-based ADHD diagnosis in children

Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence

Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization

Comprehensive applications of the artificial intelligence technology in new drug research and development

A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data

Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder

Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model

A multi-source heterogeneous medical data enhancement framework based on lakehouse

A transfer learning enabled approach for ocular disease detection and classification

Harbor seal whiskers optimization algorithm with deep learning-based medical imaging analysis for gastrointestinal cancer detection

Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing

Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset

A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification

Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning

A review of machine learning-based methods for predicting drug–target interactions

Characterization of biliary and duodenal microbiota in patients with primary and recurrent choledocholithiasis

Image-based second opinion for blood typing

A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules

Alterations of DNA methylation profile in peripheral blood of children with simple obesity

Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals

Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging

Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN

Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images

Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data

Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning

Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing

Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening

Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network

Identification of cancer driver genes based on hierarchical weak consensus model

Mdpg: a novel multi-disease diagnosis prediction method based on patient knowledge graphs

Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation

Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration

Hierarchical classification of early microscopic lung nodule based on cascade network

Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification

A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery

Enhanced performance of EEG-based brain–computer interfaces by joint sample and feature importance assessment

MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis

Identification method of thyroid nodule ultrasonography based on self-supervised learning dual-branch attention learning framework

From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine

Self-supervised neural network-based endoscopic monocular 3D reconstruction method

LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning

Viewpoint-invariant exercise repetition counting

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches

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