An Advanced Uncertainty Measure Using Fuzzy Soft Sets: Application to Decision-Making Problems by Nitin Bhardwaj, Pallvi Sharma

Subjects: “…belief measures and medical diagnosis…”
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Hybrid black widow optimization with iterated greedy algorithm for gene selection problems by Mohammed Alweshah, Yasmeen Aldabbas, Bilal Abu-Salih, Saleh Oqeil, Hazem S. Hasan, Saleh Alkhalaileh, Sofian Kassaymeh

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Sample Preparation and Diagnostic Methods for a Variety of Settings: A Comprehensive Review by Zach E. Nichols, Chris D. Geddes

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Prediction of Low Birth Weight in Infants via Artificial Intelligence Techniques without Using Sonographic Measurements by Mahtab Farahbakhsh, Hamid Reza Marateb, Marjan Mansourian, Masoomeh Goodarzi-Khoigani

Subjects: “…Computer-aided medical diagnosis…”
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Enhancing Similarity and Distance Measurements in Fermatean Fuzzy Sets: Tanimoto-Inspired Measures and Decision-Making Applications by Hongpeng Wang, Caikuan Tuo, Zhiqin Wang, Guoye Feng, Chenglong Li

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Future registry research: database linkage in Trauma and Orthopaedics by Luke Farrow, Jonathan Evans

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Total Variation-Based Noise Reduction Image Processing Algorithm for Confocal Laser Scanning Microscopy Applied to Activity Assessment of Early Carious Lesions by Hee-Eun Kim, Seong-Hyeon Kang, Kyuseok Kim, Youngjin Lee

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Automatic Facial Palsy Diagnosis as a Classification Problem Using Regional Information Extracted from a Photograph by Gemma S. Parra-Dominguez, Carlos H. Garcia-Capulin, Raul E. Sanchez-Yanez

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Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods by Arefeh Ameri, Atefeh Ameri, Farzad Salmanizadeh, Kambiz Bahaadinbeigy

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Infrared Thermal Imaging and Artificial Neural Networks to Screen for Wrist Fractures in Pediatrics by Olamilekan Shobayo, Reza Saatchi, Shammi Ramlakhan

Subjects: “…artificial intelligence medical diagnosis…”
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Migraine Diagnosis by Using Artificial Neural Networks and Decision Tree Techniques by Ziynet Pamuk, Nilufer Yurtay, Ufuk Celık

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Improving the Trustworthiness of Interactive Visualization Tools for Healthcare Data through a Medical Fuzzy Expert System by Abdullah M. Albarrak

“…Professionals often gather, evaluate, and monitor medical data to gauge risk, performance capability, tiredness, and adaptation to a medical diagnosis. Medical diagnosis data come from EMRs, software systems, hospital administration systems, laboratories, IoT devices, and billing and coding software. …”
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Prevalence of patients using antihypertensive medication in Greenland, and an assessment of the importance of diagnosis for the associated quality of care – a cross-sectional study... by Maja Hykkelbjerg Nielsen, Marie Balslev Backe, Michael Lynge Pedersen

“…However, process indicators were significantly improved when patients had a medical diagnosis code. Future focus must be on initiating initiatives ensuring that more patients are registered with a medical diagnosis code.…”
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Computerising diagnosis: minds, medicine, and machines in twentieth-century America by Lea, A

“…First, it demonstrates that efforts to computerise medical diagnosis and decision making raised philosophical and moral questions that lie at the heart of medical practice. …”

Medical and Social Cooperation and Community Smart Health Huts: Reconstruction of Hierarchical Diagnosis and Treatment Path by WU Yuxia, MA Hongbo, MI Hong

“…These seven stakeholder groups hold varying interest positions and play different roles in facilitating or obstructing the implementation of the hierarchical medical diagnosis and treatment. The difficulty of forming a collaborative mechanism among diverse stakeholders is the key to the problem. …”
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Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP by Loo, C.K., Rao, M.V.C.

“…In addition, the effectiveness of the proposed PESFAM is delineated in medical diagnosis applications. For the medical diagnosis and classification problems, PESFAM achieves 100 percent in accuracy, specificity, and sensitivity based on the 10-fold crossvalidation and these results are superior to those from other classification algorithms. …”

Pathomorphological features of the skin and muscle tissue of experimental animals in the case of lifetime and postmortem damage by A. V. Kis

“…The problem of forensic medical diagnosis of tissue injury is currently the subject of numerous investigations. …”
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Investigation of fluorescence emission in POC Bioassay device by Shenbaga Manogara Pandian Kalaiselvi.

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Comparison of different inference algorithms for medical decision making by Guven Kose, Hayri Sever, Mert Bal, Alp Ustundag

“…A medical diagnosis system (DRCAD), which consists of two sub-modules Bayesian and rule-based inference models, is presented in this study. …”
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Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care by Ke-Wei Chen, Ke-Wei Chen, Yu-Chen Wang, Yu-Chen Wang, Yu-Chen Wang, Meng-Hsuan Liu, Being-Yuah Tsai, Mei-Yao Wu, Mei-Yao Wu, Po-Hsin Hsieh, Jung-Ting Wei, Jung-Ting Wei, Edward S. C. Shih, Yi-Tzone Shiao, Ming-Jing Hwang, Ya-Lun Wu, Kai-Cheng Hsu, Kuan-Cheng Chang, Kuan-Cheng Chang

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