cancer prediction


Diagnosis of lung cancer prediction system using data mining classification techniques
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Cancer is the most important cause of death for both men and women. The early detection of cancer can be helpful in curing the disease completely. So the requirement of techniques to detect the occurrence of cancer nodule in early stage is increasing. A disease that is

Breast cancer prediction and the Wolfe classification of mammograms
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Mammographic parenchymal patterns have been proposed as a method of determining women at high risk of developing breast cancer . Wolfes original report of relative risks as high as 37: 1 for dysplastic breasts (DY) as compared with adipose breasts (N1), with

A comparative study on breast cancer prediction using RBF and MLP
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In this article an attempt is made to study the applicability of a general purpose, supervised feed forward neural network with one hidden layer, namely. Radial Basis Function (RBF) neural network. It uses relatively smaller number of locally tuned units and is adaptive in

Risk assessment in cancer patients with fever and neutropenia: a prospective, two-center validation of a prediction rule.
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Purpose: The study was undertaken to validate a clinical model for predicting the medical risk of cancer patients with fever and neutropenia. Patients and Methods: A consecutive sample of 444 cancer patients with fever and neutropenia (granulocyte count 500/pLL) at

Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer
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receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer
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Results: In univariate and multivariate analyses, the prognostic significance of PgR status among systemically untreated patients is modest. Among endocrine-treated patients, however, multivariate analyses, including lymphnode involvement, tumor size, and age

Application of breast cancer risk prediction models in clinical practice
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Breast cancer risk assessment provides an estimation of disease risk that can be used to guide management for women at all levels of risk. In addition, the likelihood that breast cancer risk is due to specific genetic susceptibility (such as BRCA1 or BRCA2 mutations)

Prediction of survival with fluorine-18-fluoro-deoxyglucose and PET in head and neck cancer
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Methods: Thirty-seven patients with squamous-cell carcinoma of the head and neck underwent FDG-PET in the fasting state before cancer treatment. FDG uptake in primary tumor was quantitated as the standardized uptake value of FDG normalized to the predicted

Prediction of response to neoadjuvant chemotherapy by sequential F-18-fluorodeoxyglucose positron emission tomography in patients with advanced-stage
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Purpose The aim of this study was to evaluate sequential F-18-fluorodeoxyglucose positron emission tomography (FDG-PET) to predict patient outcome after the first and third cycle of neoadjuvant chemotherapy in advanced-stage (International Federation of Gynecology and

Individualized prediction of colon cancer recurrence using a nomogram
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Purpose Estimates of recurrence after curative colon cancer surgery are integral to patient care, forming the basis of cancer staging and treatment planning. The categoric staging system of the American Joint Committee on Cancer (AJCC) is commonly used to convey risk

Prediction model for estimating the survival benefit of adjuvant radiotherapy for gallbladder cancer
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Purpose The benefit of adjuvant radiotherapy (RT) for gallbladder cancer remains controversial because most published data are from small, single-institution studies. The purpose of this study was to construct a survival prediction model to enable individualized

Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer
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Tumor residual after surgical cytoreduction in prediction of clinical outcome in stage IV epithelial ovarian cancer : a Gynecologic Oncology Group Study
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Purpose To identify factors predictive of poor prognosis in a similarly treated population of women with stage IV epithelial ovarian cancer (EOC). Patients and Methods A retrospective review of 360 patients with International Federation of Gynecology and Obstetrics stage IV EOC who underwent

Prediction of cancer incidence in the Nordic countries up to the year 2020
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The five Nordic countries (Denmark, Finland, Iceland, Norway and Sweden) are geographically (Figure1), historically, culturally and politically related, and their languages, except Finnish, belong to the same group. Political collaboration between the Nordic

Prediction of local recurrence, distant metastases, and death after breast-conserving therapy in early-stage invasive breast cancer using a five-biomarker panel
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Prediction of venous thromboembolism in patients with cancer by measuring thrombin generation: results from the Vienna Cancer and Thrombosis Study
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Purpose Patients with cancer are at increased risk of venous thromboembolism (VTE). Laboratory tests measuring the overall thrombophilic tendency might be useful to assess VTE risk. The aim of this study was to investigate thrombin generation, a key process in

An Efficient Prediction of Breast Cancer Data using Data Mining Techniques
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Breast cancer is one of the major causes of death in women when compared to all other cancers. Breast cancer has become the most hazardous types of cancer among women in the world. Early detection of breast cancer is essential in reducing life losses. This paper

Model-based prediction of phase III overall survival in colorectal cancer on the basis of phase II tumor dynamics
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Tumor Cells and [18F]Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Outcome Prediction in Metastatic Breast Cancer
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Purpose Circulating tumor cells (CTCs) and [18F] fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) are two new promising tools for therapeutic monitoring. In this study, we compared the prognostic value of CTC and FDG

Early prediction of nonprogression in advanced non-small-cell lung cancer treated with erlotinib by using [(18) F] fluorodeoxyglucose and [(18) F]
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Purpose Positron emission tomography (PET) with both 2-deoxy-2-[18F] fluoro-D-glucose (FDG) and 3-[18F] fluoro-3-deoxy-L-thymidine (FLT) was evaluated with respect to the accuracy of early prediction of nonprogression following erlotinib therapy, independent from