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مجله انفورماتیک سلامت و زیست پزشکی
ISSN 2423-3870 · Kerman University of Medical Sciences · 347 artikel di indeks
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Artikel Jurnal Teks lengkap
Development and Implementation of an Electronic Health Information System in Disasters and Emergencies
Setting up an electronic system to record health data during disaster response is crucial. It improves crisis management quality, lowers casualties, and boosts healthcare service efficiency. Policymaker support and enough funding are essential to developing and maintaining this system. This policy…
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Artikel Jurnal Teks lengkap
Automatic Detection and Segmentation of Bone, lung, and soft tissue Based on Computed Tomography Scan Using Deep learning
Introduction: In the field of radiation therapy and dosimetry, identifying and segmenting different regions and structures of the body in medical images is crucial for calculating radiation dose distribution for optimization, protecting sensitive organs, and improving treatment planning. In this…
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Designing a Fuzzy Stable System to Estimate Peripheral Resistance Using Frequency and Pulse Strength Parameters of Persian Medicine
Introduction: Pulsology is one of the most important clinical diagnostic methods in Persian medicine (PM) and has been used by traditional medicine specialists for centuries to assess clients' health conditions. Additionally, photoplethysmogram (PPG) is a simple and non-invasive method for…
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Artikel Jurnal Teks lengkap
The Functional and Non-Functional Requirements of a Telemedicine System for Chronic Pain Management
Introduction: With the expansion of information and communication technologies, telemedicine systems have become a key tool in enhancing the quality of healthcare services. These systems enable the delivery of medical care without the need for physical presence of patients and healthcare providers…
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Artikel Jurnal Teks lengkap
Healthcare System Intelligentization: Benefits and Challenges
The article is a letter to the editor, so it does not have an abstract.
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Artikel Jurnal Teks lengkap
Enhancing HIFU Lesion Area Detection through Supervised and Contrastive Self-Supervised Learning with Wavelet-Based Feature Extraction and Hard Negatives (HWCSSL)
Introduction: Artificial intelligence (AI) has brought about transformative changes across multiple domains including classification, detection, and prediction through the implementation of sophisticated machine learning algorithms, with the ultimate objective of enhancing quality of life and…
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Artikel Jurnal Teks lengkap
Differential Diagnosis of Precancerous and Cancerous Oral Lesions Based on an Integrated Artificial Intelligence Model
Introduction: Early detection of precancerous and cancerous oral lesions is essential for improving treatment outcomes and reducing patient mortality. However, the similarity of these lesions to benign lesions complicates the diagnostic process. Computer-aided diagnostic (CAD) systems can enhance…
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Mobile Health Interventions to Facilitate Shared Decision Making: A Systematic Review
Introduction: Shared Decision Making (SDM) is a process in which healthcare providers share evidence with patients, enabling them to make informed decisions based on their values and preferences. Mobile health (mHealth) can support SDM, leading to improved clinical outcomes. Therefore, this study…
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Artikel Jurnal Teks lengkap
Digital Twins in Healthcare: Necessities, Pros, Cons, and Future Directions
Introduction: Digital Twin (DT) refers to a digital model of a physical product, system, or process used for simulation, monitoring, and optimization. In healthcare, this technology has transformed patient care by generating virtual models of patients, enabling the prediction and optimization of…
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Usability Evaluation of the Ministry of Health Exam System: Viewpoint the Users
Introduction: Electronic education has increased due to the growth of technology, the spread of the Coronavirus, and the need to maintain social distancing. Electronic test systems are used to evaluate students. This study aims to evaluate the usability of the test system from the users'…
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Investigating the microRNAs Involved in the Acute Phase of Hepatocellular Carcinoma Caused by Hepatitis C Virus
Introduction: Hepatocellular carcinoma is one of the most common cancers in the world. In this study, we examined and nominated the genes present in the pathways of hepatocellular carcinoma associated with HCV using bioinformatics analysis. Method: The appropriate dataset for analysis was selected…
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Artikel Jurnal Teks lengkap
Providing a Foresight Model for Selecting the Appropriate Breast Cancer Diagnosis Model
Introduction: Selecting an appropriate model for breast cancer diagnosis is critical. Unsuitable models can compromise diagnostic accuracy, lead to incorrect outcomes, and impact clinical decision-making. In this context, foresight models are valuable tools for identifying and selecting the most…
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Identification of Important Features to Predict 30-Day Mortality in Heart Failure Patients with Cardiogenic Shock
Introduction: Cardiovascular diseases remain a leading global cause of mortality, with ischemic heart disease projected to account for 23.3 million deaths by 2030. Heart failure and cardiogenic shock account for a significant proportion of these deaths and require timely treatment as medical…
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Investigating the Interaction of Herbal Medicinal Compounds Against Mpro Protease in SARS-CoV-2 Virus Strains
Introduction: COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. The identification of beneficial plant compounds and their use for targeting important proteins involved in the infection and replication of the coronavirus is considered an effective option in the fight against this…
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Identifying Effective Factors in the Electronic Prescribing System of Pharmacies from the Point of view of Selected Pharmacists and Pharmaceutical Technicians in Urmia
Introduction: The emergence of electronic prescriptions has transformed the methods of prescribing and distributing medications in pharmacies. The aim of this study is to explain the factors affecting workflow, patient communication, and medication safety within the electronic prescription system…
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Investigation of Drug Interactions through Analysis of Prescribed Medications Association Rules Using the FP-growth Algorithm
Introduction: The discovery of hidden patterns in pharmaceutical data can contribute to improving the performance of hospital pharmacies. One of the applications of advanced data analysis techniques is the identification of drug interactions. Method: This study was conducted using data mining…
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Artikel Jurnal Teks lengkap
Digital Twins in Healthcare
The article is a letter to the editor, so it does not have an abstract.
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Artikel Jurnal Teks lengkap
Intelligent Diagnosis of Larynx Cancer Using Machine Learning Methods
Introduction: Larynx cancer can be benign or malignant based on various factors. This research aimed to provide a machine learning-based model to improve the diagnosis of individuals with larynx cancer. Method: In the first step, the voices of the people who visited the medical centers (including…
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Artikel Jurnal Teks lengkap
Identifying and Introducing the Design Requirements of a Mobile Self-Management Application for Hemodialysis Patients: A Cross-Sectional Study
Introduction: Hemodialysis is one of the most common methods of treating patients with chronic kidney failure. People undergoing hemodialysis face various self-management challenges such as physical, emotional, and psychological problems. Mobile phone applications are useful tools for the…
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Artikel Jurnal Teks lengkap
Providing and Implementing the Secure Structure of the Waiting List Management System for Organ Transplantation Patients with Blockchain Technology based on IPFS
Introduction: In recent decades, the medical field has faced many challenges in managing and maintaining information security on waiting lists for organ transplantation patients. The lack of trust of the participants in this process, which requires more efforts to ensure the security and privacy of…