This paper presents a way to represent knowledge of cancer registries with emphasis on prognosis. It makes use data mining techniques to find patterns in data ...
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Abstract— The gradual increase of cancer cases worldwide has been posing a need on the use of computing resources to accurately retrieve the information ...
This paper presents a way to represent knowledge of cancer registries with emphasis on prognosis. It makes use data mining techniques to find patterns in data ...
A way to represent knowledge of cancer registries with emphasis on prognosis is presented, which makes use data mining techniques to find patterns in data ...
This literature review aims to provide an overview of existing research on knowledge-based systems for lung cancer diagnosis and treatment. 5.2 Knowledge ...
Oct 4, 2022 · Greater lung cancer awareness, symptom recognition, early diagnosis, and access to appropriate treatment may improve outcomes.9-11 Lung cancer ...
Sep 12, 2022 · We sought to compare the clinical presentation and prognosis of patients with lung cancer and confirmed COVID-19 infection to those with ...
Missing: representation | Show results with:representation
Nov 9, 2023 · An Automated Completion Study of Knowledge for the Treatment of Lung Cancer by Famous TCM Experts Based on Knowledge Representation Learning.
Oct 19, 2023 · A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets.
Survival period prediction through early diagnosis of cancer has many benefits. It allows both patients and caregivers to plan resources, time and intensity of ...