AIMC Topic: Survival Analysis

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Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images.

IEEE transactions on medical imaging Aug 31, 2021
We report the ability of two deep learning-based decision systems to stratify non-small cell lung cancer (NSCLC) patients treated with checkpoint inhibitor therapy into two distinct survival groups. Both systems analyze functional and morphological p...
Humans Biomarkers, Tumor Deep Learning Immunohistochemistry Lung Neoplasms B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Survival Analysis
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The role of deep learning-based survival model in improving survival prediction of patients with glioblastoma.

Cancer medicine Aug 28, 2021
This retrospective study has been conducted to validate the performance of deep learning-based survival models in glioblastoma (GBM) patients alongside the Cox proportional hazards model (CoxPH) and the random survival forest (RSF). Furthermore, the ...
Brain Neoplasms Male Middle Aged Deep Learning Retrospective Studies Female Aged Adult Sex Factors Survival Analysis DNA Modification Methylases DNA Repair Enzymes Age Factors Predictive Value of Tests Glioblastoma Bayes Theorem Humans Isocitrate Dehydrogenase Tumor Suppressor Proteins Karnofsky Performance Status Proportional Hazards Models Chemoradiotherapy Radiotherapy
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Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer.

Scientific reports Aug 13, 2021
The selection of genes that are important for obtaining gene expression data is challenging. Here, we developed a deep learning-based feature selection method suitable for gene selection. Our novel deep learning model includes an additional feature-s...
Genes, Neoplasm Carcinoma, Pancreatic Ductal Survival Analysis Pancreas Kaplan-Meier Estimate Case-Control Studies Deep Learning Gene Expression Regulation, Neoplastic Pancreatic Neoplasms Aged Male Middle Aged Humans Transcriptome Female
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Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival Analysis.

IEEE journal of biomedical and health informatics Aug 5, 2021
Survival analysis is a commonly used method in the medical field to analyze and predict the time of events. In medicine, this approach plays a key role in determining the course of treatment, developing new drugs, and improving hospital procedures. M...
Humans Supervised Machine Learning Survival Analysis Stochastic Processes
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The use of a next-generation sequencing-derived machine-learning risk-prediction model (OncoCast-MPM) for malignant pleural mesothelioma: a retrospective study.

The Lancet. Digital health Jul 28, 2021
BACKGROUND: Current risk stratification for patients with malignant pleural mesothelioma based on disease stage and histology is inadequate. For some individuals with early-stage epithelioid tumours, a good prognosis by current guidelines can progres...
New York Middle Aged Risk Cohort Studies Female Mesothelioma, Malignant Humans Lung Neoplasms Risk Factors Pleural Neoplasms Machine Learning Neoplasm Staging Aged High-Throughput Nucleotide Sequencing Prognosis Male Survival Analysis Retrospective Studies
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Modeling Texture in Deep 3D CNN for Survival Analysis.

IEEE journal of biomedical and health informatics Jul 27, 2021
Radiomics has shown remarkable potential for predicting the survival outcome for various types of cancers such as pancreatic ductal adenocarcinoma (PDAC). However, to date, there has been limited research using convolutional neural networks (CNN) wit...
Humans Neural Networks, Computer Tomography, X-Ray Computed Neoadjuvant Therapy Area Under Curve Survival Analysis
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Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease.

Scientific reports Jul 26, 2021
Heterogeneous clinical manifestations and progression of chronic obstructive pulmonary disease (COPD) affect patient health risk assessment, stratification, and management. Pulmonary function tests are used to diagnose and classify the severity of CO...
Tomography, X-Ray Computed Republic of Korea Female Aged Humans Neural Networks, Computer Cohort Studies Pulmonary Disease, Chronic Obstructive Respiratory Function Tests Malaysia Male Predictive Value of Tests Middle Aged Survival Analysis Deep Learning
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Intermediate-term survival of robot-assisted versus open radical cystectomy for muscle-invasive and high-risk non-muscle invasive bladder cancer in The Netherlands.

Urologic oncology Jul 22, 2021
BACKGROUND: Radical cystectomy with pelvic lymph node dissection is the recommended treatment in non-metastatic muscle-invasive bladder cancer (MIBC). In randomised trials, robot-assisted radical cystectomy (RARC) showed non-inferior short-term oncol...
Robotic Surgical Procedures Aged Netherlands Male Survival Analysis Urinary Bladder Neoplasms Humans Robotics Cystectomy Retrospective Studies Female
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Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction.

Scientific reports Jul 21, 2021
Breast cancer is a heterogeneous disease. To guide proper treatment decisions for each patient, robust prognostic biomarkers, which allow reliable prognosis prediction, are necessary. Gene feature selection based on microarray data is an approach to ...
Humans Neural Networks, Computer Forecasting Prognosis Systems Biology Female Support Vector Machine Breast Neoplasms Survival Analysis Biomarkers, Tumor Deep Learning
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Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling.

Scientific reports Jul 19, 2021
For a patient affected by breast cancer, after tumor removal, it is necessary to decide which adjuvant therapy is able to prevent tumor relapse and formation of metastases. A prediction of the outcome of adjuvant therapy tailored for the patient is h...
Chemotherapy, Adjuvant Neural Networks, Computer Mastectomy Artificial Intelligence Neoplasm Recurrence, Local Machine Learning Transcriptome Survival Analysis Prognosis Gene Regulatory Networks Microarray Analysis Female Humans Gene Expression Regulation, Neoplastic Breast Neoplasms Predictive Value of Tests Biomarkers, Tumor Gene Expression Profiling
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