Mining association rules is a popular and well-studied method of data mining tasks whose primary aim is the discovers of the correlation among sets of items in the transactional databases. However, generating high- quality association rules in a reasonable time from a given database has been considered as an important and challenging problem, especially with the fast increasing in database's size. Many algorithms for association rules mining have been already proposed with promosing results. In this paper, a new association rules mining algorithm based on Bees Swarm Optimization metaheuristic named Modified Bees Swarm Optimization for Association Rules Mining (MBSO-ARM) algorithm is proposed. Results show that the proposed algorithm can

Background: Leukemia isba type of cancer of the blood or bone marrow that is characterized by an abnormal increase of white blood cells.

Association rules mining (ARM) is a fundamental and widely used data mining technique to achieve useful information about data. The traditional ARM algorithms are degrading computation efficiency by mining too many association rules which are not appropriate for a given user. Recent research in (ARM) is investigating the use of metaheuristic algorithms which are looking for only a subset of high-quality rules. In this paper, a modified discrete cuckoo search algorithm for association rules mining DCS-ARM is proposed for this purpose. The effectiveness of our algorithm is tested against a set of well-known transactional databases. Results indicate that the proposed algorithm outperforms the existing metaheuristic methods.

    Communication attribution is a condition of the validity of the hadeeth and that each narrator heard from his Sheik.There are some of the narrators who said to hear who told him and his contemporary, and this narrator is also innocent of the stigma of fraud, but this hearing has no truth.

Background:

Background: - Genetic Factors have a major role in the development of bladder cancer.
Objectives: - This study was carried out to shed a light on the possible association of HLA class II antigens and BC patients and to correlate this finding with the family
history.
Patients and Methodes :- Lymphocytotxicity assay had been used to assess HLAtyping of 65 BC patients and 50 healthy controls.
Results:- comparison between BC patients and healthy controls showed several antigens deviations in their frequencies. HLA-DR1, HLA-DQ1 and HLA-DQ3 antigens
were observed with increased frequencies in patients group with significant differences (P=0.000, 0.000 and 0.017 respectively). Moreover there was decrease

The nature and intensity of the association of myasthenia gravis (MG) with distinct human leukocyte antigen (HLA) haplotypes differ between ethnic populations, so this study determined the association of HLA class II antigens with myasthenia gravis (MG) in Iraq.The study included Iraqi patients diagnosed with MG and two control groups the first of 54 insulin dependent diabetes mellitus patients and the second of 237 subjects as a normal control group. The test used was microlymphocytotoxicity test.The work was done in the Teaching Laboratories/Medical City/Baghdad.Results: positive associations were observed (etiological risk factors) as follows: 1. HLA-DR locus showed one positively associated allele when compared to healthy control and th

Background:

Background: genetic factors were considered to play a possible role the development of autoimmune hepatitis.
Patients and methods: polymerase chain reaction-sequence specific primers (PCRSSP) was the method used to asses HLA-typing of 100 blood samples of 60 AIH patients and 40 healthy normal controls.
Results: comparison between AIH patients and healthy controls showed several antigens deviations in their frequencies. HLA-A*113 (A1/-/Null) observed to play a possible risk factor in this disease while significant loss of HLA-A*2 allele were clearly observed which prompt us to believe that it could act as a protective factor, on the other hand, increased frequency of HLA-B*8 & B*14 were statist