Machine learning-based models for prediction of toxicity outcomes in radiotherapy
In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and
assessment schemes are essential. In recent years, the growing interest toward artificial …
assessment schemes are essential. In recent years, the growing interest toward artificial …
A survey on computational intelligence approaches for predictive modeling in prostate cancer
Predictive modeling in medicine involves the development of computational models which
are capable of analysing large amounts of data in order to predict healthcare outcomes for …
are capable of analysing large amounts of data in order to predict healthcare outcomes for …
A machine-learning-based prediction method for hypertension outcomes based on medical data
W Chang, Y Liu, Y Xiao, X Yuan, X Xu, S Zhang… - Diagnostics, 2019 - mdpi.com
The outcomes of hypertension refer to the death or serious complications (such as
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia
HS Gabryś, F Buettner, F Sterzing, H Hauswald… - Frontiers in …, 2018 - frontiersin.org
Purpose The purpose of this study is to investigate whether machine learning with dosiomic,
radiomic, and demographic features allows for xerostomia risk assessment more precise …
radiomic, and demographic features allows for xerostomia risk assessment more precise …
Autoencoder based feature selection method for classification of anticancer drug response
X Xu, H Gu, Y Wang, J Wang, P Qin - Frontiers in genetics, 2019 - frontiersin.org
Anticancer drug responses can be varied for individual patients. This difference is mainly
caused by genetic reasons, like mutations and RNA expression. Thus, these genetic …
caused by genetic reasons, like mutations and RNA expression. Thus, these genetic …
Predicting toxicity in radiotherapy for prostate cancer
V Landoni, C Fiorino, C Cozzarini, G Sanguineti… - Physica Medica, 2016 - Elsevier
This comprehensive review addresses most organs at risk involved in planning optimization
for prostate cancer. It can be considered an update of a previous educational review that …
for prostate cancer. It can be considered an update of a previous educational review that …
Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression
Motivation A prime challenge in precision cancer medicine is to identify genomic and
molecular features that are predictive of drug treatment responses in cancer cells. Although …
molecular features that are predictive of drug treatment responses in cancer cells. Although …
Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients
W Ren, B Liang, C Sun, R Wu, K Men, Y Xu, F Han, J Yi… - Physica Medica, 2021 - Elsevier
Purpose To predict the incidence of radiation-induced hypothyroidism (RHT) in
nasopharyngeal carcinoma (NPC) patients, dosiomics features based prediction models …
nasopharyngeal carcinoma (NPC) patients, dosiomics features based prediction models …
Machine learning for radiation outcome modeling and prediction
Aims This review paper intends to summarize the application of machine learning to
radiotherapy outcome modeling based on structured and un‐structured radiation oncology …
radiotherapy outcome modeling based on structured and un‐structured radiation oncology …
A systematic post-QUANTEC review of tolerance doses for late toxicity after prostate cancer radiation therapy
Purpose The aims of this study were to systematically review tolerance doses for late distinct
gastrointestinal (GI), genitourinary (GU), and sexual dysfunction (SD) symptoms after …
gastrointestinal (GI), genitourinary (GU), and sexual dysfunction (SD) symptoms after …