Katsuhiko Takabayashi

Learn More
To determine brain functional abnormality in systemic lupus erythematosus (SLE) patients with psychiatric symptoms, we evaluated 12 active SLE patients with or without psychiatric symptoms by means of [18F]2-fluoro-2-deoxy-D-glucose positron emission tomography (PET), magnetic resonance imaging and neuropsychological testing. Patients with psychiatric(More)
Systemic lupus erythematosus (SLE) is a complex autoimmune disorder involving multiple organs. One of the main sites of SLE morbidity is the central nervous system (CNS), specifically the brain. In this article we review several imaging modalities used for CNS examination in SLE patients. These modalities are categorized as morphological and functional.(More)
The hepatitis temporal database collected at Chiba university hospital between 1982--2001 was recently given to challenge the KDD research. The database is large where each patient corresponds to 983 tests represented as sequences of irregular timestamp points with different lengths. This paper presents a temporal abstraction approach to mining knowledge(More)
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its internal node, and splits examples based on dis-similarity between a pair of time sequences. Our method selects, for a split test, a time sequence which exists in data by exhaustive(More)
Cytogenetic abnormalities of chromosome 9p21 are characteristic of malignant melanomas, gliomas, lung cancers and leukaemias. From a panel of 46 human malignant cell lines, we localized by positional cloning the most frequently deleted region on 9p21. Sequence analysis of the isolated fragment reveals two open reading frames identical to the recently(More)
A machine learning technique called Graph-Based Induction (GBI) efficiently extracts typical patterns from graph-structured data by stepwise pair expansion (pairwise chunking). It is very efficient because of its greedy search. Meanwhile, a decision tree is an effective means of data classification from which rules that are easy to understand can be(More)