Medical Diagnosis and the Colour Yellow in Early Modern England by Helen HICKEY

“…It takes as its starting point humoural theory, which was a vital component of not only medieval but early modern medical diagnosis. The discernment of a person’s underlying disposition relied on knowledge of humoural properties: phlegmatic, sanguine, melancholic or choleric. …”
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Transformer enabled multi-modal medical diagnosis for tuberculosis classification by Sachin Kumar, Shivani Sharma, Kassahun Tadesse Megra

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Prototype System for Supporting Medical Diagnosis Based on Voice Interviewing by Artur Samojluk, Piotr Artiemjew

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Medical diagnosis: a crucial problem in the 21st Century by Emiliano Diez y Martínez de la Cotera

“…Similarities of the scientific and clinical methods are analyzed, as a necessary procedure for a good medical diagnosis. Different forms of doctor patient relationship are described, as an essential step for an accurate diagnosis. …”
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Revolutionizing healthcare through Chat GPT: AI is accelerating medical diagnosis by Priyanka B. Kharat, Kabir Suman Dash, L. Rajpurohit, Snehasish Tripathy, Vini Mehta

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Generalized Trapezoidal Fuzzy Soft Set and Its Application in Medical Diagnosis by Haidong Zhang, Lan Shu, Shilong Liao

“…Finally, applications of generalized trapezoidal fuzzy soft sets in a decision making problem and medical diagnosis problem are shown.…”
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Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis by Reem Agbareia, Mahmud Omar, Shelly Soffer, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang

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Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis: Literature Review by Gregory J Downing, Lucas M Tramontozzi, Jackson Garcia, Emma Villanueva

“…The analysis revealed a nascent domain of internet search data research in medical diagnosis, marked by advancements in analytics and data integration. …”
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Prevalence of Internet-based Self-medical Diagnosis among Indian Nonmedical Undergraduate Students: An Observational Cross-sectional Survey by Jayati Pandey, Priya Nimish Deo, Revati Shailesh Deshmukh, Siddharth Shinde, Veera Bhosale

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Similarity Measures between Temporal Complex Intuitionistic Fuzzy Sets and Application in Pattern Recognition and Medical Diagnosis by Mohammed M. Khalaf, Sayer Obaid Alharbi, Wathek Chammam

“…Finally, the proposed similarity measure is applied to pattern recognition and medical diagnosis.…”
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Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection by Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Humayan Kabir Rana, Md. Saifur Rahman, Md. Munirul Hasan, AKM Azad, Ibrahim Abdullah, Mohammad Ali Moni

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SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

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FUZZY GROUPOIDS VERSUS LEFT INVARIANT FUZZY EQUIVALENCE RELATIONS by Mădălina Roxana BUNECI

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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

Subjects: “…Medical Diagnosis…”
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AI based medical imagery diagnosis for COVID-19 disease examination and remedy by Ashraf Aboshosha

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Evaluating the Performance of Large Language Models in Predicting Diagnostics for Spanish Clinical Cases in Cardiology by Julien Delaunay, Jordi Cusido

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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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The clinical method in primary health care: some reflections by Rubén Darío García Núñez

“…The paper also analyzes the different diagnostic hypotheses, the importance of technology for the medical diagnosis, and the link between clinic and technology. …”
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Medical Pattern Recognition: Applying an Improved Intuitionistic Fuzzy Cross-Entropy Approach by Kuo-Chen Hung

“…One of the toughest challenges in medical diagnosis is the handling of uncertainty. Since medical diagnosis with respect to the symptoms uncertain, they will be assumed to have an intuitive nature. …”
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Consumer opinion on the use of machine learning in healthcare settings: A qualitative systematic review by Jacqueline H Stephens, Celine Northcott, Brianna F Poirier, Trent Lewis

“…Importantly, their views of the use of AI/ML in medical diagnosis are influenced by the perceived trustworthiness of their healthcare providers who use these AI/ML tools. …”
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