Constraint based temporal event sequence mining for Glioblastoma survival prediction
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TLDR
The predictive model presented in this study is a preliminary step in a long-term plan of developing personalized treatment plans for GBM patients that can later be extended to other types of cancers.About:
This article is published in Journal of Biomedical Informatics.The article was published on 2016-06-01 and is currently open access. It has received 29 citations till now.read more
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Machine Learning Versus Logistic Regression Methods for 2-Year Mortality Prognostication in a Small, Heterogeneous Glioma Database.
TL;DR: This study aimed to study whether ML could achieve accurate prognostication of 2-year mortality in a small, highly dimensional database of patients with glioma and achieved reasonable performance compared with similar studies in the literature.
Journal ArticleDOI
A Systematic Review on Machine Learning in Neurosurgery: The Future of Decision-Making in Patient Care.
TL;DR: This systematical review aimed to assemble the current neurosurgical literature that machine learning has been utilized, and to inform neurosurgeons on this novel method of data analysis.
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A data-driven framework of typical treatment process extraction and evaluation.
TL;DR: The proposed method can effectively extract typical treatment processes from treatment records, and also has great potential to improve treatment outcome by personalizing the treatment process for patients with different conditions.
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Machine Learning in Neuro-Oncology: Can Data Analysis from 5,346 Patients Change Decision Making Paradigms?
TL;DR: MLBA in neuro-oncology have shown to predict patients' outcome more accurately than conventional parameters in retrospective analysis, and are promising to help guide targeted therapy, lead to personalized medicine, and open areas of study in the cancer cellular signaling system.
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Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Journal ArticleDOI
The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data
Ethan Cerami,Jianjiong Gao,Ugur Dogrusoz,Benjamin Gross,Selcuk Onur Sumer,Bulent Arman Aksoy,Anders Jacobsen,Caitlin Byrne,Michael Heuer,Erik G. Larsson,Yevgeniy Antipin,Boris Reva,Arthur P. Goldberg,Chris Sander,Nikolaus Schultz +14 more
TL;DR: The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications.
Journal ArticleDOI
Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal
Jianjiong Gao,Bulent Arman Aksoy,Ugur Dogrusoz,Gideon Dresdner,Benjamin Gross,S. Onur Sumer,Yichao Sun,Anders Jacobsen,Rileen Sinha,Erik Larsson,Ethan Cerami,Chris Sander,Nikolaus Schultz +12 more
TL;DR: A practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics, which makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries.
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