International Journal of Electronic Healthcare (4 papers in press)

Regular Issues

• Retrieval optimisation in case-based reasoning systems applied to healthcare  
  by Seema Sharma, Deepti Mehrotra, Narjès Bellamine Ben Saoud 
  Abstract: Case-based reasoning (CBR) is a cognitive approach that solves new problems by referencing solutions from similar past cases. It is particularly effective in domains where knowledge is incomplete and exceptions are common, such as medical decision-making. This study focuses on enhancing the retrieval phase of CBR systems that manage large-scale medical case bases. To achieve this, various k-nearest neighbour (KNN) algorithm variants were evaluated to identify the most suitable for medical applications. The study compared standard KNN, fuzzy KNN (F-KNN), fuzzy k-nearest centroid neighbour (F-KNCN), Bonferroni mean-based fuzzy KNN (BMF-KNN), Bonferroni mean-based fuzzy KNCN (BMF-KNCN), and random KNN (R-KNN) algorithms. These were tested on four benchmark heart disease datasets within a CBR framework. The results demonstrate that R-KNN achieves the highest accuracy of 92%, outperforming the other variants. Thus, R-KNN is identified as the most effective retrieval method for improving medical CBR systems.
  Keywords: case-based reasoning; CBR; random k-nearest neighbours algorithm; k-nearest neighbour; K-NN; fuzzy k-nearest neighbour; F-KNN; fuzzy k-nearest centroid neighbour; F-KNN; Bonferroni mean-based fuzzy k nearest neighbour; BMF-KNN; Bonferroni mean-based fuzzy k-nearest centroid neighbour; BMF-KNCN.
  DOI: 10.1504/IJEH.2025.10073160
   
  
• The technologies in nursing and healthcare: benefits and detriments in nursing practice  
  by Gil P. Soriano, Charles Aaron Gil P. Cruz, Kathyrine A. Calong Calong 
  Abstract: Computer technologies are continuously advancing, simplifying healthcare and nursing practice while assuring safety, security, precision, and dependability. Derived from highly sophisticated technologies and driven by fabrications that prioritise effectiveness and proficiency in preventing errors and mistakes that pose a danger to human lives, the effective and efficient use of technologies yields high-quality nursing and healthcare. Increasing confidence in integrating proficient technological solutions facilitates the development of reliable technologies. However, in addition to beneficial effects, advancing technologies may also produce detrimental outcomes for human health and well-being. These outcomes highlight both significant advantages and disadvantages, underscoring the development of accuracy and appropriateness in technological innovations, which can influence situations and conditions that may compromise the assurance of a quality human care experience. It is situated within Locsin’s technological competency as caring in nursing (TCCN) theory, which emphasises the integration of technological proficiency with human caring in nursing practice.
  Keywords: computers; healthcare; nursing; nursing informatics; technology.
  DOI: 10.1504/IJEH.2026.10077086
   
  
• A digital portal for early heart attack risk assessment using human health data integration and ECG images  
  by Seema Jogad, Sneh Gupta, Julima Jain 
  Abstract: This research paper presents the development of an innovative web-based heart attack prediction portal. It uses electrocardiogram (ECG) data and manually entered patient information to assess the possibility of a heart attack. This portal is designed with a user-friendly interface so that patients and healthcare provider can upload ECG images for analysis. It extracts key features such as beats per minute (BPM) and heart rate variations. In addition to ECG data, users will also need to give information about their health, blood pressure, age, family history of heart diseases, cholesterol levels and lifestyle factors such as smoking and exercise habits. This heart attack prediction portal may include additional health measures like real-time blood oxygen levels or integrated and wearable technology by expanding access to predictive analytics this tool not only provides individual tracking services but also includes broader cardiovascular health assessments in hospitals and remote care facilities. By developing early detection and prevention strategies this heart attack assessment portal is an important step in making predictive cardiovascular surveillance more accessible, effective and an important part of preventive healthcare.
  Keywords: heart attack; ECG; manual detection; health information; digital health; beats per minute; BPM.
  DOI: 10.1504/IJEH.2026.10079498
   
  
• Enhancing patient privacy and data security through blockchain technology in healthcare  
  by Karima Djouadi, Abdelkader Belkhir 
  Abstract: Nowadays, advancements in healthcare systems focus on the utilisation of medical sensors to capture various vital patient parameters, facilitating remote medical monitoring and early disease detection. However, implementing such systems necessitates the strict adherence to certain prerequisites. These include upholding patient privacy, ensuring the confidentiality and integrity of medical data, and guaranteeing system availability. These aspects are paramount as they directly impact human lives, making security measures fundamental for these systems. Considering the paramount criteria revolve around service quality, particularly emphasising low latency and rapid response times. In this paper, we introduce a healthcare system tailored for patient monitoring, addressing these crucial issues by leveraging fog computing. We also prioritise security by incorporating appropriate encryption and hashing mechanisms. Furthermore, our solution is anchored in blockchain technology, which ensures system decentralisation, thereby enhancing availability, data integrity, and confidentiality through its immutable nature.
  Keywords: healthcare; data privacy; security; data integration; blockchain; data confidentiality.
  DOI: 10.1504/IJEH.2026.10079791