The Generalized Similarity Measures Based on Complex Interval-Valued Hesitant Fuzzy Sets and Their Applications in Pattern Recognition and Medical Diagnosis by Haojun Fang, Ubaid Ur Rehman, Tahir Mahmood, Zeeshan Ali, Yun Jin

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Aortic coarctation diagnosed in a patient operated on for interventricular communication and aortic insufficiency. The importance of medical diagnosis by means of images by Ramón González Chinea, Reinel Álvarez Plasencia, Isabel Cristina Marimón Carrazana

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Investigating the type and frequency of errors in the medical diagnostic laboratory in a medical center in Tehran, Iran: a medical-laboratory experience by Mohammad Hossein Kalami, Zeinab Borjian Boroujeni, Peghah Ardi, Ahmad Abolfathi, Mohsen Babaei, Ali Asadi, Mahdi Zareei

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Application of Neural Networks and Machine Learning in Image Recognition by Dario Galić, Zvezdan Stojanović, Elvir Čajić

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Medical electrical equipment - x-ray tube assemblies for medical diagnosis - characteristics of focal spots (IEC 60336:2005, IDT) by Department of Standards Malaysia

Information Adequacy in Histopathology Request Forms: A Milestone in Making a Communication Bridge Between Confusion and Clarity in Medical Diagnosis by Fariba ABBASI, Yasaman ASGHARI, Zahra NIAZKHANI

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Analysis of Hamming and Hausdorff 3D distance measures for complex pythagorean fuzzy sets and their applications in pattern recognition and medical diagnosis by Dong-Lun Wu, Zhiyi Zhu, Kifayat Ullah, Lantian Liu, Xinxing Wu, Xu Zhang

“…Finally, we apply our proposed DisMs to a building material recognition problem and a medical diagnosis problem to illustrate the effectiveness of our DisMs. …”
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Improving Computer-Aided Medical Diagnosis Using Generative Adversarial Networks for Carotid Artery Ultrasound Image Data Augmentation and Classification by Ricardo Fitas, João Gonçalves

“…This study examines generative adversarial networks (GANs) for data augmentation and classification of carotid artery Doppler images to improve computer-aided medical diagnosis. Four convolutional neural networks (CNNs) – AlexNet, VGGNet, GoogleNet, and CifarNet – are evaluated for their classification performance on original and extended datasets. …”
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Prevalence of self-reported lifetime medical diagnosis of depression in Brazil: analysis of data from the 2019 Brazilian National Health Survey by Tiago N Munhoz, Rita Mattiello, Camila Ospina Ayala, Flaviana Freitas Pedron, Isabel Cristina Schutz Ferreira, Laura Lessa Gaudie Ley, Luciana Medeiros Paungartner, Maiara da Silva Martins, Maria Amélia Bagatini, Naycka Onofre Witt Batista, Priscila Oliveira Machado Cecagno, Sara Kvitko de Moura, Sergio López Tórrez, Iná S. Santos

“…Objectives To assess the prevalence of and factors associated with the lifetime medical diagnosis of depression in Brazil.Design Population-based, cross-sectional study.Setting Analysis of data from the 2019 Brazilian National Health Survey.Participants 90 846 individuals aged ≥15 years were included.Outcome measure The self-reported medical diagnosis of depression at some point in one’s life was the main outcome. …”
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Surface-enhanced Raman scattering as a potential strategy for wearable flexible sensing and point-of-care testing non-invasive medical diagnosis by Guoran Liu, Zhimei Mu, Jing Guo, Ke Shan, Xiaoyi Shang, Jing Yu, Jing Yu, Xiu Liang, Xiu Liang

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Intelligent Medical Diagnosis Reasoning Using Composite Fuzzy Relation, Aggregation Operators and Similarity Measure of q-Rung Orthopair Fuzzy Sets by Anastasios Dounis, Angelos Stefopoulos

Subjects: “…intelligent medical diagnosis…”
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IoT in medical diagnosis: detecting excretory functional disorders for Older adults via bathroom activity change using unobtrusive IoT technology by Bessam Abdulrazak, Hassan Mostafa Ahmed, Hamdi Aloulou, Mounir Mokhtari, F. Guillaume Blanchet, F. Guillaume Blanchet, F. Guillaume Blanchet

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Multi-attribute group decision-making based on Pythagorean fuzzy rough Aczel-Alsina aggregation operators and its applications to Medical diagnosis by Amir Hussain, Xiaoya Zhu, Kifayat Ullah, Mehvish Sarfaraz, Shi Yin, Dragan Pamucar

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Deep Learning Based Fast Screening Approach on Ultrasound Images for Thyroid Nodules Diagnosis by Hafiz Abbad Ur Rehman, Chyi-Yeu Lin, Shun-Feng Su

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Resilience-aware MLOps for AI-based medical diagnostic system by Viacheslav Moskalenko, Vyacheslav Kharchenko

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PERANCANGAN SISTEM INFORMASI ANALISIS MEDIK MENGGUNAKAN LOGIKA FUZZY SUGENO BERBASIS DATA REKAM MEDIK PADA PENYAKIT HIPERTENSI by Nadhira Trisa Pradipta, Fauziah, Ucuk Darusalam

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12-month prevalence of self-reported medical diagnoses of depression in Germany by Julia Thom, Ronny Kuhnert, Sabine Born, Ulfert Hapke

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Optoelectronics Based Dynamic Advancement of Graphene: Characteristics and Applications by Himadri Shekhar Mondal, Md. Mahbub Hossain, Md. Ekhlasur Rahaman, Sheikh Mohammed Boni Amin, Md. Bellal Hossain, Md. Mehadi Hasan Mahasin, Pankoj Kumar Mondal

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Multilevel Entity-Based Approach for Medical Diagnosis Support Systems Using Semantic Web Technology for Diagnosis of Diseases with Common Symptom of Chest Pain by Maryam Norouzzadeh Ravari, Vahid Sattari-Naeini

“…Conclusion: Multilevel entity-based approach accompanied with semantic technology is an effective approach in medical diagnosis systems.…”
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Metaverse and Medical Diagnosis: A Blockchain-Based Digital Twinning Approach Based on MobileNetV2 Algorithm for Cervical Vertebral Maturation by Omid Moztarzadeh, Mohammad (Behdad) Jamshidi, Saleh Sargolzaei, Fatemeh Keikhaee, Alireza Jamshidi, Shabnam Shadroo, Lukas Hauer

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