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Health care data collections are usually characterized by an inherent sparseness due to a large cardinality of patient records and a variety of medical treatments usually adopted for a given pathology. Innovative data analytics approaches are needed to effectively extract interesting knowledge from these large collections. This paper presents an explorative data mining approach, based on a density-based...
The article presents a procedure that supports modeling and validation of genotype knowledge, used in conjunction with phenotype information to support medical decision making. The proposed procedure is based on inductive learning and classification. A concrete case study, related to periodontal disease manifestation and diagnosis is employed to support rationale of suggested procedure. The case study...
Coronary heart disease (CHD) is one of the major causes of disability in adults as well as one of the main causes of death in the developed countries. Although significant progress has been made in the diagnosis and treatment of CHD, further investigation is still needed. The objective of this study was to develop a data-mining system for the assessment of heart event-related risk factors targeting...
Coronary heart disease (CHD) is a major cause of morbidity and mortality in the western world. Although significant progress has been made in the diagnosis and treatment of CHD, further investigation is still needed. The objective of this study was to develop a data mining system for the assessment of heart event related risk factors. The risk factors investigated were: i. clinical: sex, age, smoking,...
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