Generalised Interval-Valued Fuzzy Soft Set by Shawkat Alkhazaleh, Abdul Razak Salleh

“…We also introduce a similarity measure of two generalised interval-valued fuzzy soft sets and discuss its application in a medical diagnosis problem: fuzzy set; soft set; fuzzy soft set; generalised fuzzy soft set; generalised interval-valued fuzzy soft set; interval-valued fuzzy set; interval-valued fuzzy soft set.…”
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Novel Applications of Intuitionistic Fuzzy Digraphs in Decision Support Systems by Muhammad Akram, Ather Ashraf, Mansoor Sarwar

“…In this paper, the intuitionistic fuzzy organizational and neural network models, intuitionistic fuzzy neurons in medical diagnosis, intuitionistic fuzzy digraphs in vulnerability assessment of gas pipeline networks, and intuitionistic fuzzy digraphs in travel time are presented as examples of intuitionistic fuzzy digraphs in decision support system. …”
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Evolution of Brain Tumor and Stability of Geometric Invariants by K. Tawbe, F. Cotton, L. Vuillon

“…The volume of a tumor is an important aspect that helps doctors to make a medical diagnosis. And as doctors seek a stable calculation, we propose to prove the stability of some invariants. …”
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Parameterized Local Reduction of Decision Systems by Degang Chen, Yanyan Yang, Xiao Zhang

“…The approach of discernibility matrix is employed to investigate the structure of a -local reduction and compute all -local reductions. An example of medical diagnosis is employed to illustrate our idea of the -local reduction. …”
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Research and Application of Heart Disease Prediction Model Based on Machine Learning by Bao Yongli

“…This study aims to improve the accuracy and efficiency of heart disease prediction through Machine learning (ML) methods to help medical diagnosis. A heart disease dataset was used in the study, and multiple ML models were used to analyze multiple key health features, and the model performance was verified through a test set. …”
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Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications by Manogaran Madhiarasan, Mohamed Louzazni

“…Artificial neural networks resemble brain activities based on the acquired training samples used for various applications such as classification, regression, prediction, smart grid, natural language processing, image processing, medical diagnosis, and so on. This paper illustrates the different artificial neural network architectures, types, merits, demerits, and applications. …”
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Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images by Macarena Boix, Begoña Cantó

“…Accurate image segmentation is used in medical diagnosis sincethis technique is a noninvasive pre-processing step for biomedicaltreatment. …”
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The Clinical Method and the Clinical Dilemmas. by Luis Alberto Corona Martinez, Mercedes Fonseca Hernández

“…The purpose of this article is to summarize the challenges and dilemmas to be considered by students and young doctors in the patient's clinical approach, which completes the vision of the unquestionable positive role of clinical medical diagnosis. Different factors that can diminish the quality of obtained clinical information, thus interfering with the diagnostic process, have been classified into four groups: dependent on disease process, dependent on the individual patient or the source of information, dependent on the setting where information was obtained and dependent on the physician. …”
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An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree by Bo Suk Yang, Chul Hyun Park, Ho Jong Kim

“…Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many diverse areas such as character recognition, medical diagnosis, and expert systems, etc. In order to build a decision tree for vibration diagnosis, we have to define classes and attributes. …”
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Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network by Yang Wu, Yongmei Sun, Lei Zhan, Yuefeng Ji

“…The services in BAN usually have a high requirement on security, especially for the medical diagnosis, which involves private information. …”
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Generalized Exponential Fuzzy Entropy Approach for Automatic Segmentation of Chest CT with COVID-19 Infection by Saud S. Alotaibi, Ahmed Elaraby

“…The finest approach for medical diagnosis and a wide range of uses is computed tomography (CT). …”
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An Enhanced -Means Clustering Algorithm for Pattern Discovery in Healthcare Data by Ramzi A. Haraty, Mohamad Dimishkieh, Mehedi Masud

“…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…These findings underscore these models’ potential for use in real-world medical diagnosis, where they can assist in identifying people at risk of diagnosing diabetes and starting early prevention. …”
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A Novel System for Measuring Optical Properties in Arterial Blood of Man by A. Castañeda-Miranda, L. D. L. Vizcaya

“…The optical technologies are new technical tools that are being implemented for medical diagnosis and for describing various processes occurring within human blood. …”
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Gaussian barebone mechanism and wormhole strategy enhanced moth flame optimization for global optimization and medical diagnostics. by Jingjing Ma, Zhifang Zhao, Lin Zhang

“…Employing BWEMFO, we optimize the kernel parameters of the kernel-limit learning machine, thereby crafting the BWEMFO-KELM methodology for medical diagnosis and prediction. Subsequently, BWEMFO-KELM undergoes diagnostic and predictive experimentation on three distinct medical datasets: the breast cancer dataset, colorectal cancer datasets, and mammographic dataset. …”
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The satisfaction of clients and caregivers with telehealth speech-language pathology services by Reem S. W. Alyahya

“…Objectives To investigate the satisfaction of service users with different aspects related to telehealth speech-language pathology (SLP) services, and examine the influence of client's demographics, medical diagnosis, and type of clinical services on the level of satisfaction with telehealth services. …”
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Deep Learning Approach for Ascaris lumbricoides Parasite Egg Classification by Narut Butploy, Wanida Kanarkard, Pewpan Maleewong Intapan

“…This research proposes deep learning for A. lumbricoides’s egg image recognition to be used as a prototype tool for parasite egg detection in medical diagnosis. The challenge is to recognize 3 types of eggs of A. lumbricoides with the optimal architecture of deep learning. …”
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Finite-Element Simulation of Electroosmotic Mixing: A Study of the Simultaneous Effects of Working Parameters for Optimization by Reza Kalantar Feeoj, Sayed Masoud Alavi Eshkaftaki, Iman Kazemi Asfeh, Mehdi Jahangiri

“…Micromixers are crucial parts of microfluidic systems when it comes to efficiency and precision, as mixing is the central process in most relevant applications, including medical diagnosis, chemical production, and drug discovery. …”
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Breast Cancer Prediction Using the Affinity Propagation Clustering with Regard to the Weights of Variables by Sina Dami, Zeinab Hatamchuri

“…By using data mining tools in the field of medical diagnosis, some limitations such as the high cost of some tests or their timing will be addressed. …”
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Regulatory challenges in ai-based diagnostics: Legal implications of ai use in medical diagnostics by Naili Yuris Tri, Mangkunegara Iis Setiawan, Purwono, Baballe Muhammad Ahmad

“…The approach was a thorough study of the literature that assessed the legal and regulatory implications of using AI in medical diagnosis. The research results indicated that algorithmic bias, data security, and the requirement for stringent rules to guarantee the ethical and safe application of AI are the primary obstacles. …”
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