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Informatics and Health is a peer-reviewed journal published by Elsevier, covering Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare, Artificial Intelligence in Healthcare.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Informatics and Health 12 (2023) 45–58.
Formats any DOI in Informatics and Health style. No sign-up. |
| Publishes research in | Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare Artificial Intelligence in Healthcare Electronic Health Records Systems Mobile Health and mHealth Applications |
| ISSN | 2949-9534 |
| Citation impact (2-yr) | 9.76 |
| h-index | 10 |
| i10-index | 11 |
| Total citations | 512 |
| Open access | Yes |
| Top institutions publishing here | Chinese Academy of Medical Sciences & Peking Union Medical College |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Artificial Intelligence (AI) is transforming the healthcare landscape, yet many current applications remain narrowly task-specific, constrained by data complexity and inherent biases. This paper explores the emergence of next generation "agentic AI" systems, characterized by advanced autonomy, adaptability, scalability, and probabilistic reasoning, which address critical challenges in medical management. These systems enhance various aspects of…
Health informatics is a fast-growing area in the healthcare sector. It concerns the technologies, tools, equipment, and procedures required to gather, store, retrieve, and use health data and medical data. Healthcare informatics provides patients, nurses, hospital administrators, physicians, insurance providers, and other stakeholders with electronic access to medical records through health information technologies (HIT). Health…
Telemedicine has emerged as a transformative force in contemporary healthcare, reshaping nursing practice across various specialties. This narrative review explored the role, challenges, and ethical considerations associated with telemedicine in nursing practice. Also, it emphasizes telemedicine’s impact on patient care, the evolution of nursing workflows, and future directions for implementation. A comprehensive narrative review was…
Coronary heart disease (CHD) remains a prominent cause of mortality globally, necessitating early and accurate detection methods. Traditional diagnostic approaches can be invasive, costly, and time-consuming, necessitating the need for more efficient alternatives. This aimed to optimize the Light Gradient-Boosting Machine (LightGBM) algorithm to enhance its performance and accuracy in the early detection of CHD,…
Liver disease (LD) significantly impacts global health, requiring accurate diagnostic methods. This study aims to develop an automated system for LD prediction using machine learning (ML) and explainable artificial intelligence (XAI), enhancing diagnostic precision and interpretability. This research systematically analyzes two distinct datasets encompassing liver health indicators. A combination of preprocessing techniques, including feature optimization…
