Université Paris Diderot (Paris 7), UFR de Mathématiques, case 7012 (Site Chevaleret), F–75205 Paris Cedex 13, France e-mail: [email protected], url: http://www.proba.jussieu.fr/∼comets Instituto de Matemática e Estat́ıstica, Universidade de São Paulo, rua do Matão 1010, CEP 05508–090, São Paulo SP, Brasil e-mail: [email protected], url: http://www.ime.usp.br/∼popov Forschungszentrum Jülich ...

Mailing address: Luiz Alberto Benvenuti • Rua Madalena, 477/31 Vila Madalena 05434-090 São Paulo, SP Brazil E-mail: [email protected] Manuscript received May 15, 2009; revised manuscript received July 25, 2009; accepted October 07, 2009. 3 males). These samples were routinely processed and paraffin-embedded. Serial 4-μm sections were stained by hematoxylin and eosin, Masson’s trichrome or su...

CALIFORNIA ENVIRONMENTAL PROTECTION AGENCY DEPARTMENT OF PESTICIDE REGULATION MEDICAL TOXICOLOGY BRANCH SUMMARY OF TOXICOLOGY DATA ORTHO-PHENYLPHENOL (OPP) AND SODIUM ORTHO-PHENYLPHENATE (SOPP) OPP: Chemical Code # 448, Document Processing Number (DPN) # 00129, SB 950 # 090 SOPP: Chemical Code # 248, Document Processing Number (DPN) # 50438, SB 950 # 474 July 29, 1986 Revised: 3/30/87, 8/30/89,...

Recessive dystrophic epidermolysis bullosa (RDEB) is a blistering skin disease caused by mutations in COL7A1, the gene encoding type VII collagen (C7). RDEB characterized chronic wounds and high incidence of aggressive squamous cell carcinoma (SCC), leading cause death this patient population. High mobility group box 1 (HMGB1) serum biomarker severity patients that may have mechanistic role pro...

Generalized itemset mining is an established data mining technique that focuses on discovering high-level correlations among large databases. By exploiting a taxonomy built over the data items, items are aggregated into higher level concepts and, thus, data correlations at different abstraction levels can be discovered. However, since a large number of patterns can be extracted, the result of t...

Frequent generalized itemset mining is a data mining technique utilized to discover a high-level view of interesting knowledge hidden in the analyzed data. By exploiting a taxonomy, patterns are usually extracted at any level of abstraction. However, some misleading high-level patterns could be included in the mined set. This paper proposes a novel generalized itemset type, namely theMisleading...

Large data volumes have been collected by healthcare organizations at an unprecedented rate. Today both physicians and healthcare system managers are very interested in extracting value from such data. Nevertheless, the increasing data complexity and heterogeneity prompts the need for new efficient and effective data mining approaches to analyzing large patient datasets. Generalized association...