[PDF] Top 20 Saúde Mental dos Enfermeiros nos Cuidados de Saúde Primários
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Towards Breast Cancer Survivability Prediction Models in Thai Hospital Information Systems
... tree is the stage of breast cancer including Stage I, Stage II, Stage III and Stage IV. The interpretation of the 10-year breast cancer survivability decision tree is presented below. 1[r] ... See full document
27
PERFORMANCE COMPARISON OF DATA MINING TECHNIQUES FOR PREDICTION AND DIAGNOSIS OF BREAST CANCER DISEASE SURVIVABILITY
... predictive models are designed to aid physicians to overcome health problems, routine classification tasks which should otherwise be referred to the specialist in a particular area of ...These models are ... See full document
5
<p>A Comparison Between the Online Prediction Models CancerMath and PREDICT as Prognostic Tools in Thai Breast Cancer Patients</p>
... Breast cancer patients who underwent surgical treatment for stage I to III breast cancer, according to the American Joint Committee on Cancer Staging Manual seventh edition, from 2003 ... See full document
11
Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability
... and prediction systems, new and novel research directions are identified for further clinical and biological ...Generally cancer research is based upon statistical models did not reach to ... See full document
21
Prevalence of <em>CYP2D6*2</em>, <em>CYP2D6*4</em>, <em>CYP2D6*10</em>, and <em>CYP3A5*3</em> in Thai breast cancer patients undergoing tamoxifen treatment
... Thai breast cancer patients who were taking TAM at 20 mg once daily and who visited the oncology outpatient clinic at King Chulalongkorn Memorial Hospital between Febru- ary and March 2015 ... See full document
42
Prediction of Breast Cancer Risk Level with Risk Factors in Perspective to Bangladeshi Women using Data Mining
... to breast cancer stage there are different kinds of ...for breast cancer depends on the type and stage of the disease, the size the tumor, general health, medical history and age of ...the ... See full document
116
Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement
... previous breast biopsies and first- degree relatives. We did have information on age at menarche and age at first live birth, but used family his- tory (binary) and benign breast disease (binary), ... See full document
10
An Adaptive Clustering Algorithm for Gene Expression Time-Series Data Analysis
... expression values are different in various stages of progression of the disease. One of the most powerful applications of gene expression analysis is to identify biomarkers that can be used for disease risk assessment, ... See full document
156
Validation of death prediction after breast cancer relapses using joint models
... sample compared with a maximum of two in the Dutch sample and three in the development cohort. In the West Midlands registry, relapses were not collected but retrieved from the treatment information with an algo- ... See full document
5
Cost effectiveness of bilateral prophylactic mastectomy with and without different breast reconstruction techniques versus screening in women with high risk of breast cancer in the Canadian province of Ontario
... with breast cancer survival and recurrence, though has historically not been included in formal staging criteria since its relative contribution to overall prognosis above size and nodal status was not ... See full document
178
Diagnosis of Breast Cancer using Decision Tree Data Mining Technique
... Predicting outcome of a disease is a challenging task. Data mining techniques tends to simplify the prediction segment. Automated tools have made it possible to collect large volumes of medical data, which are ... See full document
185
Mouse models of breast cancer in preclinical research
... receptor-positive breast cancer; for example, tamoxifen for ER-positive breast cancer and Pertuzumab (Perjeta), Trastuzumab (Herceptin), and Docetaxel (Taxotere) for HER2-positive ... See full document
26
Decision tree Classification and Model Evaluation for Breast Cancer Survivability: A Data Mining Approach
... The breast cancer is one of the most prevalent cancers in the world that has enough potential to be studied by data mining ...for Breast Cancer multiple factors are to be considered. SEER ... See full document
7
Comparison of hospital charge prediction models for gastric cancer patients: neural network vs decision tree models
... the prediction efficient of ANN and decision tree on hospital charges on colon cancer ...tree models to predict hospital charges on gastric cancer patients and comparing their ... See full document
5
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
... In the hard thresholding approach, a series of stepwise forward regression analyses were first carried out in 1 Mb regions centered on SNPs significant at a pre-specified threshold for association with either overall ... See full document
7
The influence of stage at diagnosis and molecular subtype on breast cancer patient survival: a hospital-based multi-center study
... are routine drugs for hormone receptor-positive tumors, and patients with HER2-overexpressed tumors can be treated with trastuzumab [35–37]. Triple-negative tumors can only be treated with surgery, radiation therapy, ... See full document
7
Mouse models for breast cancer
... of information about molecular pathways and cancer physi- ...such systems has been demonstrated with the adenomatous polyposis coli (APC)/multiple intestinal neoplasia (min) ... See full document
8
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.
... overall breast cancer PRS was also evaluated among 190,040 women of European ancestry from the UK Biobank cohort who had not had any cancer diagnosis or mastectomy prior to ...sive breast ... See full document
236
Reduction of breast tumor burden in mice by a prenylated flavonoid, Artonin E
... Each of the animal group contained five mice to enable statistical analysis. The biochemical and histopathological analysis were done in triplicate and the results expressed as mean ± standard error of mean. The level of ... See full document
40
What can be learnt from models of incidence rates?
... a breast cancer risk modifier for many ...of breast cancer risk in the postmenopausal years ...in Breast Cancer reanalysis and National Health Service (NHS) data, risk of ... See full document
8
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