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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Rough Approximation Spaces via Maximal Union Neighborhoods and Ideals with a Medical Application by Mona Hosny, Tareq M. Al-shami, Abdelwaheb Mhemdi

“…Finally, we show the performance of the current models to discuss the information system of dengue fever disease and eliminate the ambiguity of the medical diagnosis, which produces an accurate decision.…”
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Homomorphic and restricted homomorphic products of softgraphs by Jinta Jose, Rajesh K. Thumbakara, J. D. Thenge Mashale, Bobin George, Sijo P. George

“…Numerous researchers have subsequently developed models leveraging this theory to tackle challenges in decision-making and medical diagnosis. Soft set theory emerges as a flexible framework adept at handling uncertain and imprecise information, a domain where classical set theory often struggles. …”
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CNN-Based Pupil Center Detection for Wearable Gaze Estimation System by Warapon Chinsatit, Takeshi Saitoh

“…Potentially, the pupil center position of a user’s eye can be used in various applications, such as human-computer interaction, medical diagnosis, and psychological studies. However, users tend to blink frequently; thus, estimating gaze direction is difficult. …”
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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data by Johannes Jordan, Elli Angelopoulou, Andreas Maier

“…In recent years, the availability of new sensor designs, more powerful processors, and high-capacity storage further opened this imaging modality to a wider array of applications like medical diagnosis, agriculture, and cultural heritage. …”
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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

“…., model parameters, parameter gradients, embedding representation, etc.） applied to data distributed across various institutions.FL reduces the risk of privacy leakage, since raw data is not allowed to leave the institution.According to the difference in data distribution between institutions, FL is usually divided into horizontal federated learning （HFL）, vertical federated learning （VFL）, and federal transfer learning （TFL）.VFL is suitable for scenarios where institutions have the same sample space but different feature spaces and is widely used in fields such as medical diagnosis, financial and security of VFL.Although VFL performs well in real-world applications, it still faces many privacy and security challenges.To the best of our knowledge, no comprehensive survey has been conducted on privacy and security methods.The existing VFL was analyzed from four perspectives: the basic framework, communication mechanism, alignment mechanism, and label processing mechanism.Then the privacy and security risks faced by VFL and the related defense methods were introduced and analyzed.Additionally, the common data sets and indicators suitable for VFL and platform framework were presented.Considering the existing challenges and problems, the future direction and development trend of VFL were outlined, to provide a reference for the theoretical research of building an efficient, robust and safe VFL.…”
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Hubungan Keputusasaan dengan Depresi Pada Pasien Diabetes Melitus Di Padang by Rika Sarfika

“…This study aimed to investigate the relationship between hopelessness and depression among patients diabetes mellitus.This research is analytical research with a cross-sectional study approach. 122 people with type 2 diabetes mellitus at Pauh and Andalas Public health center were designated as samples in this study with inclusion criteria not having a history of mood disorders or mental disorders (based on medical diagnosis), aged 25 - 65 years and willing to sign an informed consent form. …”
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Colorimetric Detection of Ammonia Using Synthesized Silver Nanoparticles from Durian Fruit Shell by Eman Alzahrani

“…The study significance is that the room temperature optical ammonia sensor can be used in future for medical diagnosis in the detection of low levels of ammonia in biological fluid like sweat, cerebrospinal fluid, saliva, plasma, or biological samples. …”
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Multidimensional time series classification with multiple attention mechanism by Chen Liu, Zihan Wei, Lixin Zhou, Ying Shao

“…Abstract The classification of multidimensional time series holds significant importance across various domains, including action classification, medical diagnosis, and credit assessment. Within multidimensional time series data, features pertinent to classification exhibit variance in their positional distribution along the entirety of the sequence. …”
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Body Surface Potential Mapping: A Perspective on High‐Density Cutaneous Electrophysiology by Ruben Ruiz‐Mateos Serrano, Dario Farina, George G. Malliaras

“…Abstract The electrophysiological signals recorded by cutaneous electrodes, known as body surface potentials (BSPs), are widely employed biomarkers in medical diagnosis. Despite their widespread application and success in detecting various conditions, the poor spatial resolution of traditional BSP measurements poses a limit to their diagnostic potential. …”
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Algorithms for a Generalized Multipolar Neutrosophic Soft Set with Information Measures to Solve Medical Diagnoses and Decision-Making Problems by Rana Muhammad Zulqarnain, Harish Garg, Imran Siddique, Rifaqat Ali, Abdelaziz Alsubie, Nawaf N. Hamadneh, Ilyas Khan

“…The applicability of the proposed algorithm is demonstrated through a case study of the medical-diagnosis and the decision-making problems. A comparative analysis with several existing studies reveals the effectiveness of the approach.…”
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Integrated the Medical Procedure Analyze Seismic Resilience of Healthcare System: A Critical Review from the Resilience of Healthcare System vs. Medical Demand Perspective by Bin Liang, Qian Tao, Wuping Gao, Quanchang Ren, Xinqiang Yao

“…Many studies have applied resilience research to address critical issues in the medical rescue of postearthquake casualties, such as medical diagnosis, emergency surgery, and intensive care. …”
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Conversational Health Bots for Telemedicine Services: Survey by Sura Mahmood Abdullah, Abbas Mohsin Al-bakry, Alaa Kadhem Farhan

“…An increasing number of individuals take refuge in telemedicine systems for medical diagnosis and treatment due to their numerous benefits, including reduced healthcare costs, enhanced efficiency, and the ability to treat and prevent a wide range of physical and mental health problems. …”
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