AIMC Topic: Survival Analysis

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Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images.

Computers in biology and medicine Dec 28, 2022
Understanding prognosis and mortality is critical for evaluating the treatment plan of patients. Advances in digital pathology and deep learning techniques have made it practical to perform survival analysis in whole slide images (WSIs). Current meth...
Humans Supervised Machine Learning Survival Analysis Entropy Neural Networks, Computer Hand
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Survival analysis of localized prostate cancer with deep learning.

Scientific reports Oct 24, 2022
In recent years, data-driven, deep-learning-based models have shown great promise in medical risk prediction. By utilizing the large-scale Electronic Health Record data found in the U.S. Department of Veterans Affairs, the largest integrated healthca...
Humans Male Deep Learning Cross-Sectional Studies United States Survival Analysis Prostatic Neoplasms Prostate-Specific Antigen
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Neural Networks for Survival Prediction in Medicine Using Prognostic Factors: A Review and Critical Appraisal.

Computational and mathematical methods in medicine Sep 30, 2022
Survival analysis deals with the expected duration of time until one or more events of interest occur. Time to the event of interest may be unobserved, a phenomenon commonly known as right censoring, which renders the analysis of these data challengi...
Survival Analysis Proportional Hazards Models Humans Machine Learning Prognosis Neural Networks, Computer
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Survival Analysis with High-Dimensional Omics Data Using a Threshold Gradient Descent Regularization-Based Neural Network Approach.

Genes Sep 19, 2022
Analysis of data with a censored survival response and high-dimensional omics measurements is now common. Most of the existing analyses are based on specific (semi)parametric models, in particular the Cox model. Such analyses may be limited by not ha...
Neural Networks, Computer Algorithms Proportional Hazards Models Regression Analysis Survival Analysis
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Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images.

Scientific reports Sep 6, 2022
Breast cancer tumor grade is strongly associated with patient survival. In current clinical practice, pathologists assign tumor grade after visual analysis of tissue specimens. However, different studies show significant inter-observer variation in b...
Humans Female Observer Variation Neoplasm Grading Pathologists Breast Neoplasms Survival Analysis Deep Learning
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DetecDiv, a generalist deep-learning platform for automated cell division tracking and survival analysis.

eLife Aug 17, 2022
Automating the extraction of meaningful temporal information from sequences of microscopy images represents a major challenge to characterize dynamical biological processes. So far, strong limitations in the ability to quantitatively analyze single-c...
Cell Tracking Saccharomyces cerevisiae Cell Division Software Image Processing, Computer-Assisted Survival Analysis Deep Learning
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A survival analysis based volatility and sparsity modeling network for student dropout prediction.

PloS one May 5, 2022
Student Dropout Prediction (SDP) is pivotal in mitigating withdrawals in Massive Open Online Courses. Previous studies generally modeled the SDP problem as a binary classification task, providing a single prediction outcome. Accordingly, some attempt...
Student Dropouts Humans Neural Networks, Computer Survival Analysis
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Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system.

BMC bioinformatics Apr 8, 2022
OBJECTIVES: Immune microenvironment was closely related to the occurrence and progression of colorectal cancer (CRC). The objective of the current research was to develop and verify a Machine learning survival predictive system for CRC based on immun...
Survival Analysis Gene Expression Regulation, Neoplastic Databases, Genetic Tumor Microenvironment Computational Biology Humans Prognosis Colorectal Neoplasms Machine Learning
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Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Age-related macular degeneration (AMD) is the leading cause of vision loss. Some patients experience vision loss over a delayed timeframe, others at a rapid pace. Physicians analyze time-of-visit fundus photographs to predict patient risk of developi...
Fundus Oculi Macular Degeneration Survival Analysis Disease Progression Humans Deep Learning Prognosis
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Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.

PloS one Jan 21, 2022
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of co...
Incidence Hypertension Mexico Obesity Diabetes Mellitus Hospitalization Comorbidity COVID-19 SARS-CoV-2 Humans Outpatients Machine Learning Survival Analysis Models, Statistical Datasets as Topic Bayes Theorem Contact Tracing
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