Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

“…This could lead to significant advances in biomedical research and medical diagnosis. Our code is made publicly available on GitHub.…”
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The clinical method as a diagnosis method. A critique to a standing conception. by Luis Alberto Corona Martínez

“…In this article, through a systemic point of view and from the medical assistance perspective, it is analyzed how, historically conditioned, the clinical method has been considered up to this moment as a method for medical diagnosis, which limits the fulfillment of the general objective of the medical attention process. …”
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The clinical method as a diagnosis method. A critique to a standing conception by Luis Alberto Corona Martínez

“…In this article, through a systemic point of view and from the medical assistance perspective, it is analyzed how, historically conditioned, the clinical method has been considered up to this moment as a method for medical diagnosis, which limits the fulfillment of the general objective of the medical attention process. …”
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An approach to the medical record: a guide by Angel Julio Romero Cabrera, Juan de Dios Rivero Berovides, Francisco Olascoaga Pérez, Reinaldo Pino Blanco, Benigno Figueiras Ramos, Luis Gustavo Del Sol Padrón

“…Science is content expressed as knowledge, and art are practical habits and skills of the medical profession. Medical diagnosis that beginners perceive as intuitive deductions, comparable to a detective’s task, are just the result of a reasoning process that mixes both, learning and experience. …”
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Modeling the Medical Interview and an Approach to its Functional Invariants by Luís Alberto Corona Martínez, Mercedes Fonseca Hernández

“…Firstly, the role of the clinical examination and interview in medical diagnosis is demonstrated; secondly, a model for conducting the interview is proposed, consisting of four phases distinguishable from each other by their particular objectives. …”
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Interval-Valued Vague Soft Sets and Its Application by Khaleed Alhazaymeh, Nasruddin Hassan

“…Molodtsov has introduced the concept of soft sets and the application of soft sets in decision making and medical diagnosis problems. The basic properties of vague soft sets are presented. …”
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Does Gastroenterology Need Artificial Intelligence? by S. M. Kurbatsky

“…The growing volumes of medical data enforce, and advances in machine image recognition enable, the transition towards computer-assisted medical diagnosis.…”
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Effective Fuzzy Soft Set Theory and Its Applications by Shawkat Alkhazaleh

“…Finally, we give an application of this theory to medical diagnosis (MD) and exhibit the technique with a hypothetical case study.…”
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Generalised Interval-Valued Fuzzy Soft Set by Shawkat Alkhazaleh, Abdul Razak Salleh

“…We also introduce a similarity measure of two generalised interval-valued fuzzy soft sets and discuss its application in a medical diagnosis problem: fuzzy set; soft set; fuzzy soft set; generalised fuzzy soft set; generalised interval-valued fuzzy soft set; interval-valued fuzzy set; interval-valued fuzzy soft set.…”
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Novel Applications of Intuitionistic Fuzzy Digraphs in Decision Support Systems by Muhammad Akram, Ather Ashraf, Mansoor Sarwar

“…In this paper, the intuitionistic fuzzy organizational and neural network models, intuitionistic fuzzy neurons in medical diagnosis, intuitionistic fuzzy digraphs in vulnerability assessment of gas pipeline networks, and intuitionistic fuzzy digraphs in travel time are presented as examples of intuitionistic fuzzy digraphs in decision support system. …”
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Evolution of Brain Tumor and Stability of Geometric Invariants by K. Tawbe, F. Cotton, L. Vuillon

“…The volume of a tumor is an important aspect that helps doctors to make a medical diagnosis. And as doctors seek a stable calculation, we propose to prove the stability of some invariants. …”
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Parameterized Local Reduction of Decision Systems by Degang Chen, Yanyan Yang, Xiao Zhang

“…The approach of discernibility matrix is employed to investigate the structure of a -local reduction and compute all -local reductions. An example of medical diagnosis is employed to illustrate our idea of the -local reduction. …”
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Research and Application of Heart Disease Prediction Model Based on Machine Learning by Bao Yongli

“…This study aims to improve the accuracy and efficiency of heart disease prediction through Machine learning (ML) methods to help medical diagnosis. A heart disease dataset was used in the study, and multiple ML models were used to analyze multiple key health features, and the model performance was verified through a test set. …”
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Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications by Manogaran Madhiarasan, Mohamed Louzazni

“…Artificial neural networks resemble brain activities based on the acquired training samples used for various applications such as classification, regression, prediction, smart grid, natural language processing, image processing, medical diagnosis, and so on. This paper illustrates the different artificial neural network architectures, types, merits, demerits, and applications. …”
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Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images by Macarena Boix, Begoña Cantó

“…Accurate image segmentation is used in medical diagnosis sincethis technique is a noninvasive pre-processing step for biomedicaltreatment. …”
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The Clinical Method and the Clinical Dilemmas. by Luis Alberto Corona Martinez, Mercedes Fonseca Hernández

“…The purpose of this article is to summarize the challenges and dilemmas to be considered by students and young doctors in the patient's clinical approach, which completes the vision of the unquestionable positive role of clinical medical diagnosis. Different factors that can diminish the quality of obtained clinical information, thus interfering with the diagnostic process, have been classified into four groups: dependent on disease process, dependent on the individual patient or the source of information, dependent on the setting where information was obtained and dependent on the physician. …”
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An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree by Bo Suk Yang, Chul Hyun Park, Ho Jong Kim

“…Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many diverse areas such as character recognition, medical diagnosis, and expert systems, etc. In order to build a decision tree for vibration diagnosis, we have to define classes and attributes. …”
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Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network by Yang Wu, Yongmei Sun, Lei Zhan, Yuefeng Ji

“…The services in BAN usually have a high requirement on security, especially for the medical diagnosis, which involves private information. …”
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Generalized Exponential Fuzzy Entropy Approach for Automatic Segmentation of Chest CT with COVID-19 Infection by Saud S. Alotaibi, Ahmed Elaraby

“…The finest approach for medical diagnosis and a wide range of uses is computed tomography (CT). …”
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An Enhanced -Means Clustering Algorithm for Pattern Discovery in Healthcare Data by Ramzi A. Haraty, Mohamad Dimishkieh, Mehedi Masud

“…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …”
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