cancer data
Application of Data Mining Techniques to Model Breast Cancer Data
... second leading cause of death in women today and most common cancer in developed countries. As breast cancer recurrence is high, good diagnosis is important. Many studies have been conducted to analyze ...
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Cancer data partitioning with data structure and difficulty independent clustering scheme
... The cancer data clustering system is build to partition the breast cancer diagnosis data ...the data clustering process with ensemble ...and data complexity independent ...
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Combined Genetic Programming for Microarray Data Possible Biomarkers for cancer Data
... Microarray technology is the recent advancement in medical field which helps in creating a large database holding both cancerous tissue and normal tissue. Researcher have found that there is big difference in gene ...
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Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer
... National Cancer Institute (NCI) offers county-level incidence data for its member registries, which cover part or all of eight states, through its SEER*Stat ...individual cancer records, users must ...
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Survival Analysis for a Breast Cancer Data Set
... breast cancer data includes a series of 295 consecutive women with breast cancer who were treated at the hospital of the Netherlands Cancer ...the data as a validation set for the ...
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A Review on Breast Cancer Data Repository
... Breast cancer could be a malignant cell growth within the ...the cancer spreads to alternative areas of the ...of cancer in ladies within the ...ductal cancer in place ...among cancer ...
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Cancer Data Classification Using Clustering Techniques
... In a multilayered feedforward network, neurons are organized into layers. The input layer is not fully composed of neurons, but rather it consists of some values in a data record, that constitutes inputs to the ...
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Factor regression for dimensionality reduction and data integration techniques with applications to cancer data
... on cancer-related gene expression data as our main moti- vating ...application. Cancer is one of the most studied pathological systems and one of the leading causes of morbidity and mortality ...from ...
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Development of breast cancer ontology based on hybrid approach
... breast cancer have been diagnoses among Malaysian population in year ...breast cancer were registered in National Cancer Registry in ...nasopharynx cancer. The abundance of data which ...
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Study Of Classification Algorithm For Lung Cancer Prediction
... the cancer lung cancer is a disease of uncontrolled cell growth in tissues of the ...lung. Data classification is an important task in KDD (knowledge discovery in databases) ...the data set ...
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Incidence rate of thyroid cancer in Iranian population, trend analysis from 2003 to 2009
... Florida Cancer Data System ...E. Cancer: thyroid cancer bone metastases and high morbidity ...SEER Cancer Statistics Review, 1975-2011, National Cancer Institute, ...thyroid ...
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Higher Prevalence of Prostate Cancer among Veterans with Type 2 Diabetes
... of cancer data collected. The data collected from Computerized patient record system include history of smoking, alcohol abuse, duration of diabetes, list of other medical problems including all can- ...
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Data Mining Techniques to Predict Cancer Diseases
... Wei-pin Chang et al. made a comparative study for predicting breast cancers by decision tree, neural network, genetic algorithm and logistic regression. They concerned on 10 variable/attribute for creating breast ...
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Knowledge, attitudes, and values among physicians working with clinical genomics: a survey of medical oncologists
... sequencing and personalize drugs and treatments par- ticularly to a patient’ s genome. However, the uncertain- ties of clinical utility and validity of genomic information are a hurdle for MOs to incorporate genomic ...
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Analysis and Prognosis of Cancer with Big Data Analytics
... big data analytics project in healthcare is similar to that of a traditional health informatics or analytics ...big data is by definition large, processing is broken down and executed across multiple ...
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Use of comparative data for integrated cancer services
... Information/ Data Leads were initially approached to be ...comparative data in addition to, or absence of, a Network Information and Data Lead; responses from 'Others' were therefore combined with ...
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Gastric Cancer Analysis In Data Mining Techniques
... gastric cancer. We identified consistently DE genes in gastric cancer through INMEX meta-analysis ...resolution data but that data is enough to provide warning to ...
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Combinations of genetic data in a study of oral cancer
... A specific combination of genetic changes is the genetic basis for a polygenic disorder; this combination can be found in patients, but not in control subjects genetically unrelated to patients. If the disorder shows ...
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Cancer survival for Aboriginal and Torres Strait Islander Australians: a national study of survival rates and excess mortality
... analyze cancer mortality of cases diagnosed in 1991-2005 for Australia, excluding ...interest); cancer site; and interaction terms for Indigenous status with each of age at diagnosis (base age 59 years) and ...
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Cervical Cancer Prediction using Data Mining
... of data mining. Initially actual data is selected on which we want to perform data mining ...actual data, we have to select a part of it for further ...selected data is the subset of ...
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