نتایج جستجو برای: breast cancer survivability prediction
تعداد نتایج: 1225674 فیلتر نتایج به سال:
IQGAPs is a family of proteins which comprises three members, in humans. The expression pattern and role of IQGAP1 has been well established in many cancers, whereas those of IQGAP2 and IQGAP3, have mostly remained unexplored. We used available large datasets, to explore the pan-cancer status of these two genes in-silico. Here we have analysed their mRNA expression and correlation with survivab...
BACKGROUND Breast cancer is one of the most critical cancers and is a major cause of cancer death among women. It is essential to know the survivability of the patients in order to ease the decision making process regarding medical treatment and financial preparation. Recently, the breast cancer data sets have been imbalanced (i.e., the number of survival patients outnumbers the number of non-s...
mri of the breast has evolved as a non-invasive imaging modality and is ideally suited for several indications e.g. pre-operative staging and screening in women at increased risk for breast cancer. the widespread use opens also the discussion on over-diagnosis if only 20 - 30 out of 100 mri - guided breast biopsies lead to the diagnosis of breast cancer. thus mri based strategies are needed to ...
In comparison to all other malignancies, breast cancer is the most commonform of cancer, among women. Breast prediction has been studied by a number researchers, and considered as serious threat Clinicians are finding it difficult create treatment approach that will help patients live longer, due lack solid predictive models which predicts outcome in early stages analyzing history patient’s dat...
Background: Breast cancer is one of the most important malignancies in both developed and developing countries. Objectives: To reduce the burden of this disease, the prediction of individuals at risk and implementation of efficient preventive interventions can be effective. The present study was aimed at investigating five-year and lifetime risks of the breast cancer in a rural community in Za...
Background: Prediction of breast cancer risk and identifying women who are at high risk of breast cancer, would be a great help for planning and conducting screening programs. The aim of this study was to estimate the 5-year breast cancer risk among women in Isfahan. Methods: This cross-sectional study was conducted on 9674 women aged 35-69 years who referred to the Breast Cancer Screening Cen...
micrornas (mirnas) are non-coding small rna molecules with 21–25 nucleotides. it plays significant role in control of gene expression at posttranscriptional/translational level. they are commonly dysregulated in human cancers, whereas they may behave either as oncogenes or as tumor-suppressor genes. both genetic and epigenetic events in deregulation of mirna can lead to cancer development. gene...
according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...
ISSUE ADDRESSED People's decisions about whether to participate in cancer screening and to seek treatment are related to their perceptions of the survivability of cancer. However, there is little empirical evidence to suggest people's awareness of the survivability of different cancers. The object of the present study was to determine people's estimates of the survivability of 10 cancers. MET...
High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge exists in double. The use of effective sampling technique in classification algorithms always yields good prediction accuracy. The SEER public use cancer databas...
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