AIAccurate medical diagnosis is essential for informed decision making and the delivery of effective treatment. Traditionally, this process relies on clinical judgment, integrating data and medical expertise to inform decision making.
Noel Zacarias-Morales +3 more
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An Improved Correlation Coefficient of Intuitionistic Fuzzy Sets
Journal of Intelligent Systems, 2019 The intuitionistic fuzzy set is a useful tool to deal with vagueness and uncertainty. Correlation coefficient of the intuitionistic fuzzy sets is an important measure in intuitionistic fuzzy set theory and has great practical potential in a variety of ...
Huang Han-Liang, Guo Yuting
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Neutrosophic Topological Spaces for Lung Cancer Detection in Chest X-Rays: A Novel Approach to Uncertainty Management [PDF]
Neutrosophic Sets and SystemsDecision-making in medical diagnosis is often hampered by uncertainties due to incomplete, ambiguous, and evolving information. In reviewing the traditional methods for lung cancer detection, we found that crisp and logic values have more difficulties ...
A. A. Salama +4 more
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Privacy-Preserving Self-Helped Medical Diagnosis Scheme Based on Secure Two-Party Computation in Wireless Sensor Networks [PDF]
, 2014 Yi Sun +3 more
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Predictive data mining approaches in medical diagnosis: A review of some diseases prediction
International Journal of Data and Network Science, 2019 Article history: Received: October 18, 2018 Received in revised format: December 20, 2018 Accepted: January 8, 2019 Available online: January 8, 2019 Due to the increasing technological advances in all fields, a considerable amount of data has been ...
R. Ghorbani, R. Ghousi
semanticscholar +1 more source
A Hybrid Decision Making Framework with Pythagorean Fuzzy Information for Childhood Cancer Prognosis [PDF]
Sahand Communications in Mathematical AnalysisMedical information is complex and confidential, making accurate diagnosis challenging, especially with varying expert opinions. This study proposes a hybrid multicriteria decision-making (MCDM) approach combining the Pythagorean fuzzy method based on ...
Naveen Kumar, Juthika Mahanta
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Fault Tolerant Neural Network for ECG Signal Classification Systems
Advances in Electrical and Computer Engineering, 2011 The aim of this paper is to apply a new robust hardware Artificial Neural Network (ANN) for ECG classification systems. This ANN includes a penalization criterion which makes the performances in terms of robustness.
MERAH, M. +3 more
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2360. Impact of a Two-Step Antimicrobial Stewardship Intervention on C. difficile Infection Diagnosis at an Urban Veteran’s Affairs Medical Center [PDF]
, 2019 Ryan Kuhn +6 more
openalex +1 more source
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network
Applied Soft Computing, 2020 Gonçalo Marques +2 more
semanticscholar +1 more source