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Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters

https://doi.org/10.1109/icsmc.2012.6377825
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119508557.ch12openalex-snapshot
Introduction to Bayesian Networks
inferredcites →https://doi.org/10.1007/978-3-540-74976-9_19openalex-snapshot
Classification of Anti-learnable Biological and Synthetic Data
inferredcites →https://doi.org/10.1007/bf00058655openalex-snapshot
Bagging predictors
inferredcites →https://doi.org/10.1007/bfb0026666openalex-snapshot
Naive (Bayes) at forty: The independence assumption in information retrieval
inferredcites →https://doi.org/10.1016/s0016-5085(01)70019-4openalex-snapshot
Pathology and genetics of tumors of the digestive system
inferredcites →https://doi.org/10.1023/a:1018054314350openalex-snapshot
Bagging Predictors
inferredcites →https://doi.org/10.1023/a:1018628609742openalex-snapshot
Least Squares Support Vector Machine Classifiers
inferredcites →https://doi.org/10.1038/bjc.1988.293openalex-snapshot
A cytotoxic agent can be generated selectively at cancer sites
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/72.595883openalex-snapshot
Modeling complex environmental data
inferredcites →https://doi.org/10.1142/5089openalex-snapshot
Least Squares Support Vector Machines
inferredcites →https://doi.org/10.1142/9789812776655openalex-snapshot
Least Squares Support Vector Machines
inferredcites →https://doi.org/10.1145/1015330.1015424openalex-snapshot
Multiple kernel learning, conic duality, and the SMO algorithm
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.2307/2965591openalex-snapshot
An Introduction to Bayesian Networks.
inferredcites →https://doi.org/10.4135/9781412950589.n88openalex-snapshot
CART (Classification and Regression Trees)
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2827998openalex-extracted
An Ensemble of Machine Learning and Anti-Learning Methods for Predicting Tumour Patient Survival Rates
inferred← citeshttps://doi.org/10.2139/ssrn.2828445openalex-extracted
Ensemble Learning of Colorectal Cancer Survival Rates
inferred← citeshttps://doi.org/10.2139/ssrn.3786478openalex-extracted
Teaching Key Machine Learning Principles Using Anti-Learning Datasets
inferred← citeshttps://doi.org/10.1007/978-3-031-53036-4_19openalex-snapshot
On Strong Anti-learning of Parity
inferred← citeshttps://doi.org/10.1007/978-981-32-9186-7_2openalex-snapshot
Colorectal Cancer Diagnosis with Complex Fuzzy Inference System
inferred← citeshttps://doi.org/10.1016/j.jpsychires.2015.01.015openalex-snapshot
Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: A pattern classification approach
inferred← citeshttps://doi.org/10.1101/2020.07.24.220269openalex-snapshot
Integrated metabolome and transcriptome analyses provide insight into colon cancer development by the gut microbiota
inferred← citeshttps://doi.org/10.1101/578930openalex-snapshot
Valid and powerful group statistics for decoding accuracy: Information Prevalence Inference using the i-th order statistic ( i -test)
inferred← citeshttps://doi.org/10.1109/civemsa.2013.6617400openalex-snapshot
Ensemble learning of colorectal cancer survival rates
inferred← citeshttps://doi.org/10.1109/dsaa.2015.7344863openalex-snapshot
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
inferred← citeshttps://doi.org/10.1109/icaicta.2017.8090984openalex-snapshot
Exploration and analysis of some online machine learning on GBP/USD trading simulation
inferred← citeshttps://doi.org/10.1128/msystems.00151-23openalex-snapshot
Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
inferred← citeshttps://doi.org/10.21294/1814-4861-2023-22-3-99-107openalex-snapshot
Artificial intelligence in colorectal cancer: a review
inferred← citeshttps://doi.org/10.4251/wjgo.v14.i1.124openalex-snapshot
Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
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