Integrating Blockchain Technology into Healthcare Through an Intelligent Computing Technique

Abstract

The blockchain technology plays a significant role in the present era of information technology. In the last few years, this technology has been used effectively in several domains. It has already made significant differences in human life, as well as is intended to have noticeable impact in many other domains in the forthcoming years. The rapid growth in blockchain technology has created numerous new possibilities for use, especially for healthcare applications. The digital healthcare services require highly effective security methodologies that can integrate data security with the available management strategies. To test and understand this goal of security management in Saudi Arabian perspective, the authors performed a numerical analysis and simulation through a multi criteria decision making approach in this study. The authors adopted the fuzzy Analytical Hierarchy Process (AHP) for evaluating the effectiveness and then applied the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique to simulate the validation of results. For eliciting highly corroborative and conclusive results, the study referred to a real time project of diabetes patients' management application of Kingdom of Saudi Arabia (KSA). The results discussed in this paper are scientifically proven and validated through various analysis approaches. Hence the present study can be a credible basis for other similar endeavours being undertaken in the domain of blockchain research.

Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals

“…In this report, we can see how our health has changed over time. All output will be transmitted to the user's mobile device or personal PC [ 23 ]. This approach, which measures probabilistic categorization, makes it simpler to make a diagnosis.…”

Penerapan Metode F-AHP dan F-TOPSIS Dalam Proses Seleksi Karyawan Untuk Bidang Teknologi Informasi

“…Beberapa penelitian seperti bagaimana mengevaluasi efektivitas metodologi keamanan yang sangat efektif dalam layanan kesehatan digital dengan mengintegrasikan keamanan data dengan strategi manajemen yang ada [11], evaluasi teknologi bus berbasis bahan bakar yang sesuai di India [12], evaluasi kinerja sekolah menengah atas dalam masalah pengambilan keputusan kelompok [13].…”

Deep Neural Network and Predator Crow Optimization-Based Intelligent Healthcare System for Predicting Cardiac Diseases

“…This section discusses the Predator Crow-performance DNN's training % and K-fold value evaluation. The techniques utilized for the comparative study include random forest (RF) [30,31], K-nearest neighbor (KNN) [32,33], Deep Neural Network (DNN) [34,35], Marine Predator-Deep Neural Network (MPA-DNN) [36,37], and Crow Search Algorithm-Based Deep Neural Network (CSA-DNN) [38].…”

“…The comparison of approaches that are based on K-fold [39] and training percentages is discussed in this section. The strategies considered for comparison with the proposed Predator Crow-DNN are the random forest classifier [30,31], K-nearest neighbor classifier [32,33], DNN classifier [34,35], marine predator-deep neural network (MPA-DNN) [36,37], and the Crow search algorithm-based deep neural network (CSA-DNN) [38].…”