Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Cancer risk prediction"”.
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Cancer risk prediction with next generation sequencing data using machine learning
… detected with SAMtools and GATK achieve similar prediction accuracies. It is also noted that the features that are ranked with the PCC yield better accuracy than the chi-square test. In all of the analyses, the SNPs are identified to have superior accuracy as compared to the INDELs or the full …
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Advances in Time-to-Event Analysis: Big Data Applications in Cancer Risk Prediction
… these datasets become paramount. In particular, cancers could benefit significantly from these developments. The lifetime risk of developing a ma- lignancy is around 50%. However, the associated risks are not equally distributed with large differences between individuals. Hence, being able to …
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Improving Lung Cancer Risk Prediction: Integration of Novel Predictors and Modelling Using Machine Learning Random Forest versus the Validated PLCOm2012 Logistic Regression Model
Lung cancer (LC) is the leading cause of cancer-related deaths among men, and the second most common cause of cancer death among women, worldwide. Symptoms of LC appear when the disease has progressed to an advanced stage when curative treatments are ineffective, leading to poor prognosis. LC …
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Interpretable and Automated Bias Detection for AI in Healthcare
… dataset, over the diverse tasks of diabetes risk prediction, lung cancer risk prediction, and biomolecular toxicity prediction. Our framework is used to uncover biases caused by patient BMI and computed tomography (CT) scanner type in the data used by a cutting-edge lung cancer risk …
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The Association between Serum Cancer Antigen 125 (CA 125) and Risk of Lung Cancer in Females: Assessing the Possibilities for Early Detection
… the relationship between CA 125 and lung cancer. This study is expected to provide more understanding about CA 125 and its role as a potential predictor for lung cancer risk. Objectives: To evaluate: i) the association between CA 125 and lung cancer; ii) if the associations differ by …
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Prediction, Communication, and Distribution of Breast Cancer Risk
… group in the United States (US) for which breast cancer is the most frequently diagnosed cancer and leading cause of cancer deaths. Despite the availability of tools to assess breast cancer risk, relatively little is known about the performance of current breast cancer risk prediction models and …
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Improving breast cancer risk assessment with image-based deep learning models
Discriminative models for breast cancer risk prediction are needed in order to provide personalized patient care. Existing breast cancer risk models incorporate information about breast tissue using imaging biomarkers such as density scores. However, these imaging biomarkers are limited in that …
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Associations Between Personal Cancer History and Lung Cancer Risk
… relationship between factors related to personal cancer history and lung cancer risk as well as assess their predictive utility. Characteristics of interest included the number, anatomical site(s), and age of onset of previous cancer(s). Data from the Prostate, Lung, Colorectal and Ovarian …
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Somatic variation, carcinogenesis and cancer risk in the lung
… loss of functionality and disease. Historically, cancer has been perceived as an evolutionary process involving the continuous acquisition of crucial alterations in a single cell, eventually resulting in its transformation into a cancer cell. However, observing the first changes that occur in …
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Development and internal validation of a risk prediction model for high-risk adenomas among average risk colorectal cancer screening participants
Background: High-risk adenomas (HRAs) are precursors to colorectal cancer (CRC), and removing them during colonoscopy can halt progression to CRC. The aim of this study was to develop a risk prediction model for HRAs detected at screening colonoscopy based on readily available patient information. …
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Approaches to developing clinically useful Bayesian risk prediction models
Prediction of the presence of disease (diagnosis) or an event in the future course of disease (prognosis) becomes increasingly important in the current era of personalised medicine. Both tasks (diagnosis and prognosis) are supported using (risk) prediction models. Such models usually combine …
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The Development of the Prognostic Breast Cancer Model PREDICT
… making for patients with early invasive breast cancer. Since its development in 2010, the model has shown a variety of prognostic outcomes among numerous studies. Due to improvements in breast cancer survival and advancements in cancer treatments, the model might be outdated and could lead to …