Artificial Neural Networks Applied in Civil Engineering by Nikos D. Lagaros

“…In recent years, artificial neural networks (ANN) and artificial intelligence (AI), in general, have garnered significant attention with respect to their applications in several scientific fields, varying from big data management to medical diagnosis [...]…”
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A Polymer‐Based Chemiresistive Gas Sensor for Selective Detection of Ammonia Gas by Ronil J. Rath, Syamak Farajikhah, Farshad Oveissi, Zahra Shahrbabaki, Jimmy Yun, Sina Naficy, Fariba Dehghani

“…Abstract Breath analysis is a non‐invasive tool used in medical diagnosis. However, the current generation of breath analyzers is expensive, time‐consuming, and requires sample gas separation. …”
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Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification by Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti

“…A crucial challenge in critical settings like medical diagnosis is making deep learning models used in decision-making systems interpretable. …”
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A Parameterized Intuitionistic Type-2 Fuzzy Inference System with Particle Swarm Optimization by Chun-Min Yu, Kuo-Ping Lin, Gia-Shie Liu, Chia-Hao Chang

“…In the medical diagnosis problem, IT-2 FIS could obtain a higher correct rate by revealing experts’ knowledge. …”
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An Integrated Algorithmic MADM Approach for Heart Diseases’ Diagnosis Based on Neutrosophic Hypersoft Set with Possibility Degree-Based Setting by Atiqe Ur Rahman, Muhammad Saeed, Mazin Abed Mohammed, Sujatha Krishnamoorthy, Seifedine Kadry, Fatma Eid

“…A modified algorithm is proposed for the medical diagnosis of heart diseases by integrating the concept of the pNHs-set and the modified Sanchez’s method. …”
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Mathematical model based on fractional trace operator for COVID-19 image enhancement by Faten Khalid Karim, Hamid A. Jalab, Rabha W. Ibrahim, Ala'a R. Al-Shamasneh

“…Overall, the proposed algorithm has significantly improved the image which can be useful for medical diagnosis process.…”
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Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images by Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Sabina Yesmin, Imran Mahmud, Md. Jueal Mia, Khalid Been Badruzzaman Biplob

“…The image-based medical diagnosis expert system is crucial for a brain tumor patient. …”
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MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation by Zhenchao CUI, Shujie SONG, Jing QI

“…Objective: For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation, a novel multi-level method based on the multi-scale fusion residual neural network (MF2ResU-Net) model is proposed. …”
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Designing and Evaluation of the Local Cardiovascular Terms Coding System Based on Concept Mapping by Mostafa Kamali Yousef Abad, Seyed Mahmoud Tara, Mohsen Mouhebati, Amirabbas Azizi, Behzad Kiani, Mohamad Reza Hasibian

“…Introduction: The Importance of disease classification for facilitating medical research is clear. The Medical diagnosis classification is usually done through International Classification of Disease (ICD) system. …”
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An interpretable machine learning model for diagnosis of Alzheimer's disease by Diptesh Das, Junichi Ito, Tadashi Kadowaki, Koji Tsuda

“…We present an interpretable machine learning model for medical diagnosis called sparse high-order interaction model with rejection option (SHIMR). …”
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Brain Tumors Classification by Using Gray Level Co-occurrence Matrix, Genetic Algorithm and Probabilistic Neural Network by Raghad Majeed Azawi, Dhahir Abdulhade Abdulah, Jamal Mustafa Abbas, Ibrahim Tareq Ibrahim

“… Background:Brain tumors classification by MRI (Magnetic Resonance Imaging) is important in medical diagnosis because it provides information associated with anatomical structures as well as potential abnormal tissues necessary for treatment planning and patient's case follow-up. …”
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Facial micro-expression analysis by Ong, Si Ying

“…Additionally, in medical settings, individuals may be reluctant to discuss their genuine emotions and condition during a remote consultation, which reduces the accuracy of the medical diagnosis. Patients may be reluctant to address particular problems or hesitant to seek help. …”
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Detection of Human Cholangiocarcinoma Markers in Serum Using Infrared Spectroscopy by Patutong Chatchawal, Molin Wongwattanakul, Patcharaporn Tippayawat, Kamilla Kochan, Nichada Jearanaikoon, Bayden R. Wood, Patcharee Jearanaikoon

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Artificial Intelligence (AI) Applied in Civil Engineering by Nikos D. Lagaros, Vagelis Plevris

“…In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis [...]…”
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Correction of androgen deficiency in chronic infectious prostatitis as pathogenetic method of overcoming inefficiencies standard antibiotics against the growing antibiotic resistan... by I. A. Tyuzikov, S. Yu. Kalinchenko, V. O. Vorslov, Ye. A. Grekov

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Legal Aspects of Brain Death by Dilek Özcengiz

“…Brain death is a medical diagnosis. A person who is diagnosed as brain dead is considered dead both medically and legally. …”
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A System for Computer-aided Diagnosis by Gorry, Gregory Anthony

“…A major contention of this thesis, however, is that this problem subsumes the principal feature of a number of ostensibly different real diagnostic problems including certain problems of medical diagnosis and the diagnosis of machine failures. …”
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Enhanced Clustering Algorithms For Gray-Scale Image Segmentation by Siddiqui, Fasahat Ullah

“…The clustering algorithms are widely used as an unsupervised method for image segmentation in medical diagnosis, satellite imaging and biometric systems. …”
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Heart disease diagnosis system using fuzzy logic by Hasan, Kahtan, Azma, Abdullah, Kamal Z., Zamli, Abdulgabber, Mansoor Abdullateef, Wan Nor Ashikin, Wan Ahmad Fatthi, Noor Shahaiyusniezam, Kamarulzaman

“…Many alternative methods have been suggested for medical diagnosis in the healthcare domain. However, evaluating the functionality of CHD diagnosis systems remains challenging. …”
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Ranking Iranian Provinces in Terms of Access to Healthcare Indicators with Emphasis on Yazd Province by Habib Ansari Samani, Donya Shajirat, Nooshin Yoshany

“…Conclusion: Laboratory indicators of medical diagnosis and genetics, pharmacists, general practitioners, emergency centers and beds in medical institutions respectively have the highest weights and effects in the ranking of provinces from regarding access to health and treatment indicators. …”
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