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A theoretical framework for decision trees in uncertain domains: Application to medical data sets
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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/sim.4780050516openalex-snapshot
Partitioning methods for classification and decision making in medicine
inferredcites →https://doi.org/10.1006/cbmr.1994.1029openalex-snapshot
Evaluation of the Use of Induction in the Development of a Medical Expert System
inferredcites →https://doi.org/10.1007/3-540-57868-4_57openalex-snapshot
Estimating attributes: Analysis and extensions of RELIEF
inferredcites →https://doi.org/10.1007/bf00116837openalex-snapshot
An Empirical Comparison of Selection Measures for Decision-Tree Induction
inferredcites →https://doi.org/10.1007/bf00117831openalex-snapshot
Technical Note: Some Properties of Splitting Criteria
inferredcites →https://doi.org/10.1007/bf00993349openalex-snapshot
Bias in information-based measures in decision tree induction
inferredcites →https://doi.org/10.1007/bf00994006openalex-snapshot
A Further Comparison of Splitting Rules for Decision-Tree Induction
inferredcites →https://doi.org/10.1007/bf01000407openalex-snapshot
The Importance of Attribute Selection Measures in Decision Tree Induction
inferredcites →https://doi.org/10.1016/0890-5401(89)90010-2openalex-snapshot
Inferring decision trees using the minimum description lenght principle
inferredcites →https://doi.org/10.1016/0933-3657(92)90021-gopenalex-snapshot
Extraction of diagnostic rules using recursive partitioning systems: A comparison of two approaches
inferredcites →https://doi.org/10.1016/0933-3657(93)90025-xopenalex-snapshot
Medical decision making based on inductive learning method
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50037-1openalex-snapshot
A Practical Approach to Feature Selection
inferredcites →https://doi.org/10.1017/cbo9780511569944openalex-snapshot
Research and Development in Expert Systems IX
inferredcites →https://doi.org/10.1023/a:1022604100933openalex-snapshot
An Empirical Comparison of Pruning Methods for Decision Tree Induction
inferredcites →https://doi.org/10.1023/a:1022694001379openalex-snapshot
A Distance-Based Attribute Selection Measure for Decision Tree Induction
inferredcites →https://doi.org/10.1023/a:1022694010754openalex-snapshot
Technical Note: Bias in Information-Based Measures in Decision Tree Induction
inferredcites →https://doi.org/10.1057/jors.1986.180openalex-snapshot
Expert Systems-Experiments with Rule Induction
inferredcites →https://doi.org/10.1080/00401706.1995.10484383openalex-snapshot
Machine Learning, Neural and Statistical Classification
inferredcites →https://doi.org/10.1109/21.97458openalex-snapshot
A survey of decision tree classifier methodology
inferredcites →https://doi.org/10.1109/34.67645openalex-snapshot
An iterative growing and pruning algorithm for classification tree design
inferredcites →https://doi.org/10.1145/230062.1066049openalex-snapshot
Book review: Machine Learning, Neural and Statistical Classification Edited by D. Michie, D.J. Spiegelhalter and C.C. Taylor (Ellis Horwood Limited, 1994)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.1056openalex-snapshot
Evolutionary design of decision trees for medical application
inferred← citeshttps://doi.org/10.1007/3-540-48229-6_6openalex-snapshot
Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin’s Disease
inferred← citeshttps://doi.org/10.1007/3-540-64383-4_22openalex-snapshot
Treatment of missing values for association rules
inferred← citeshttps://doi.org/10.1007/978-3-540-36841-0_934openalex-snapshot
Hybrid model based on Decision Trees and Fuzzy Cognitive Maps for Medical Decision Support System
inferred← citeshttps://doi.org/10.1007/978-3-642-27737-5_117-2openalex-snapshot
Decision Tree Learning
inferred← citeshttps://doi.org/10.1007/s13042-019-01044-yopenalex-snapshot
A survey of robust optimization based machine learning with special reference to support vector machines
inferred← citeshttps://doi.org/10.1016/j.asoc.2007.06.006openalex-snapshot
Brain tumor characterization using the soft computing technique of fuzzy cognitive maps
inferred← citeshttps://doi.org/10.1016/s0950-7051(01)00119-8openalex-snapshot
A quality index for decision tree pruning
inferred← citeshttps://doi.org/10.1023/a:1016409317640openalex-snapshot
Decision Trees: An Overview and Their Use in Medicine
inferred← citeshttps://doi.org/10.1109/icccyb.2005.1511543openalex-snapshot
Some applications of intelligent systems in medicine
inferred← citeshttps://doi.org/10.1109/iembs.2006.260354openalex-snapshot
A Combined Fuzzy Cognitive Map and Decision Trees Model for Medical Decision Making
inferred← citeshttps://doi.org/10.1142/9789812792563_0012openalex-snapshot
Use of Attribute Selection Criteria in Decision Trees in Uncertain Domains
inferred← citeshttps://doi.org/10.2196/36443openalex-snapshot
Qualitative Evaluation of an Artificial Intelligence–Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study
inferred← citeshttps://doi.org/10.2196/preprints.36443openalex-snapshot
Qualitative Evaluation of an Artificial Intelligence-based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation (Preprint)
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