Health Information Science and Systems

Papers
(The H4-Index of Health Information Science and Systems is 23. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment86
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery63
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction61
Microstate feature fusion for distinguishing AD from MCI50
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder46
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data42
ProsthetiX-AI: An LLM-based clinical decision support system for evidence-based prosthetic recommendations40
DALI-Syn: integrating chemical LLMs with multi-level attention architectures for synergistic drug combination prediction39
Exploring relationship between emotion and probiotics with knowledge graphs39
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data38
MSER: an emotion recognition method based on multi-signal information fusion36
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer36
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging35
Knowledge-enhanced medical image classification via descriptive priors from large language models34
Image-based second opinion for blood typing34
Structured reflective reasoning for precise medical knowledge graph retrieval augmented generation32
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI32
An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning30
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases28
Detecting stress from videos via intra-subject and inter-subject learning27
Embedding-based link predictions to explore latent comorbidity of chronic diseases27
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset25
Computational and statistical insights for leveraging biomarker-driven machine learning models in predicting COVID-19 patient outcomes24
Deep continual multitask out-of-hospital incident severity assessment from changing clinical features23
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