AIMC Topic: Survival

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Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.

Computers in biology and medicine Jun 9, 2023
The advance of sequencing technologies has enabled a thorough molecular characterization of the genome in human cancers. To improve patient prognosis predictions and subsequent treatment strategies, it is imperative to develop advanced computational ...
Humans Prognosis Neoplasms Deep Learning Genomics Multiomics Survival
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Main factors influencing recovery in MERS Co-V patients using machine learning.

Journal of infection and public health Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Humans Machine Learning Health Personnel Female Aged Young Adult Adult Male Middle Aged Infant Severity of Illness Index Saudi Arabia Adolescent Child, Preschool Child Support Vector Machine Regression Analysis Bayes Theorem Coronavirus Infections Multivariate Analysis Middle East Respiratory Syndrome Coronavirus Survival
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Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models.

Scientific reports Sep 15, 2017
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated ...
Humans Neural Networks, Computer Software Prognosis Neoplasms Deep Learning Genomics Treatment Outcome Bayes Theorem Datasets as Topic Survival
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