Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical data
As a highly contagious respiratory disease, COVID-19 has yielded high mortality rates since
its emergence in December 2019. As the number of COVID-19 cases soars in epicenters …
its emergence in December 2019. As the number of COVID-19 cases soars in epicenters …
[HTML][HTML] Radiogenomics of lung cancer
CW Wong, A Chaudhry - Journal of Thoracic Disease, 2020 - ncbi.nlm.nih.gov
Abstract Machine learning (ML) and artificial intelligence (AI) are aiding in improving
sensitivity and specificity of diagnostic imaging. The rapid adoption of these advanced ML …
sensitivity and specificity of diagnostic imaging. The rapid adoption of these advanced ML …
Radiomics model of 18F-FDG PET/CT imaging for predicting disease-free survival of early-stage uterine cervical squamous cancer
S Liu, R Li, Q Liu, D Sun, H Yang, H Pan… - Cancer …, 2022 - content.iospress.com
BACKGROUND: To explore an effective predictive model based on PET/CT radiomics for
the prognosis of early-stage uterine cervical squamous cancer. METHODS: Preoperative …
the prognosis of early-stage uterine cervical squamous cancer. METHODS: Preoperative …
Survival regression with accelerated failure time model in XGBoost
Survival regression is used to estimate the relation between time-to-event and feature
variables, and is important in application domains such as medicine, marketing, risk …
variables, and is important in application domains such as medicine, marketing, risk …
Predicting cancer prognosis and drug response from the tumor microbiome
LC Hermida, EM Gertz, E Ruppin - Nature communications, 2022 - nature.com
Tumor gene expression is predictive of patient prognosis in some cancers. However, RNA-
seq and whole genome sequencing data contain not only reads from host tumor and normal …
seq and whole genome sequencing data contain not only reads from host tumor and normal …
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX …
Purpose Development of a supervised machine-learning model capable of predicting
clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from …
clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from …
Progression-free survival prediction in small cell lung cancer based on Radiomics analysis of contrast-enhanced CT
N Chen, R Li, M Jiang, Y Guo, J Chen, D Sun… - Frontiers in …, 2022 - frontiersin.org
Purposes and Objectives The aim of this study was to predict the progression-free survival
(PFS) in patients with small cell lung cancer (SCLC) by radiomic signature from the contrast …
(PFS) in patients with small cell lung cancer (SCLC) by radiomic signature from the contrast …
Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial data
A Rousset, D Dellamonica, R Menuet… - … Heart Journal-Digital …, 2022 - academic.oup.com
Aims Through this proof of concept, we studied the potential added value of machine
learning (ML) methods in building cardiovascular risk scores from structured data and the …
learning (ML) methods in building cardiovascular risk scores from structured data and the …
Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data
Tumors are made of evolving and heterogeneous populations of cells which arise from
successive appearance and expansion of subclonal populations, following acquisition of …
successive appearance and expansion of subclonal populations, following acquisition of …
Multi-omics data fusion via a joint kernel learning model for cancer subtype discovery and essential gene identification
The multiple sources of cancer determine its multiple causes, and the same cancer can be
composed of many different subtypes. Identification of cancer subtypes is a key part of …
composed of many different subtypes. Identification of cancer subtypes is a key part of …