fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. in this paper, a fuzzy inference system (fis) for diagnosing of acute lymphocytic leukemia in children has been introduced. the fuzzy expert system applies mamdani reasoning model that has high interpretability to explain system results to e...

Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced. The fuzzy expert system applies Mamdani reasoning model that has high interpretability to explain system results to e...

Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced. The fuzzy expert system applies Mamdani reasoning model that has high interpretability to explain system results to e...

Among the most pressing issues in field of illness diagnostics is identifying and diagnosing leukemia at its earliest stages, which requires accurate distinction malignant leukocytes a low cost. Leukemia quite common, yet laboratory diagnostic centres often lack necessary technology to diagnose disease properly, available procedures take long time. They are considering efficacy machine learning...

Abstract — Blood cell disorders are often detected in advanced stages as the number of cancer cells is much higher than normal blood cells. As one important aspects diagnosing leukemia and determining its progress identifying malignant This paper illustrates discovery four main types through machine learning algorithms, it was found that Computer-Aided Diagnosis (CAD) has progressed rapidly ove...

abstract: this paper represents a novel use of artificial neural networks in medical science. the proposed technique involves training a multi layer perceptron (mlp) (a kind of artificial neural network) with a bp learning algorithm to recognize a pattern for the diagnosing and prediction of five blood disorders, through the results of blood tests from h1 machine. the blood test parameters and ...

It is difficult to building deep learning algorithms for identifying chronic diseases. One of the must difficulties facing system diagnosing leukemia irregular shape and twisted nucleus in white blood cells (WBCs) without cleaning segmentation by Appling filters. Moreover, it challenge identify classify WBC at once time which considered essential step diagnosing. This paper proposed only based ...