Temporal pattern discovery in course-of-disease data.

Describes a system that utilizes event-set sequencing for knowledge discovery within a database of human immunodeficiency virus (HIV) patients. The authors use the development of their temporal pattern discovery system (TEMPADIS) to help understand the overall process of knowledge discovery in a medical database environment. Results are presented for a database of HIV patients. The authors discuss the overall process of knowledge discovery including data cleaning and preprocessing, data reduction and projection, and matching goals to a particular data mining method.

[1]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[2]  G. Dombi,et al.  Prediction of rib fracture injury outcome by an artificial neural network. , 1995, The Journal of trauma.

[3]  Heikki Mannila,et al.  Discovering Frequent Episodes in Sequences , 1995, KDD.

[4]  金田 重郎,et al.  C4.5: Programs for Machine Learning (書評) , 1995 .

[5]  Ramakrishnan Srikant,et al.  Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[6]  Abraham Silberschatz,et al.  On Subjective Measures of Interestingness in Knowledge Discovery , 1995, KDD.

[7]  B. A. Mobley,et al.  Artificial neural network predictions of lengths of stay on a post-coronary care unit. , 1995, Heart & lung : the journal of critical care.

[8]  Ramasamy Uthurusamy,et al.  Data mining and knowledge discovery in databases , 1996, CACM.

[9]  Heikki Mannila,et al.  Discovering Generalized Episodes Using Minimal Occurrences , 1996, KDD.

[10]  Ramakrishnan Srikant,et al.  Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.

[11]  M. D. Williams,et al.  Simulated biologic intelligence used to predict length of stay and survival of burns. , 1996, The Journal of burn care & rehabilitation.

[12]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[13]  Balaji Padmanabhan,et al.  Pattern Discovery in Temporal Databases: A Temporal Logic Approach , 1996, KDD.

[14]  M. D. Williams,et al.  Prediction of trauma mortality using a neural network. , 1997, The American surgeon.

[15]  Lynn L. Peterson,et al.  A Sequence Building Approach to Pattern Discovery in Medical Data , 1998, FLAIRS Conference.