Construction, observation and knowledge abstraction for go endgames on small boards.

A Go endgame database consists of optimal game values and moves for every legal arrangement of no more than S pieces on an N by N board. This paper describes methods for constructing such databases when and . When cycles of plies with lengths greater than 4 are encountered, two rules, one allowing cycles and the other disallowing them, are implemented.

Bidirectional association between obstructive sleep apnea and depression: A population-based longitudinal study.

An association may exist between obstructive sleep apnea (OSA) and depression. However, results regarding this association are inconsistent, and the direction of the association between OSA and depression remains unknown. Therefore, we used the Taiwan National Health Insurance Research Database to investigate the bidirectional association between OSA and depression.

Efficient simulation of the spatial transmission dynamics of influenza.

Early data from the 2009 H1N1 pandemic (H1N1pdm) suggest that previous studies over-estimated the within-country rate of spatial spread of pandemic influenza. As large spatially resolved data sets are constructed, the need for efficient simulation code with which to investigate the spatial patterns of the pandemic becomes clear. Here, we present a significant improvement to the efficiency of an individual-based stochastic disease simulation framework commonly used in multiple previous studies.

Medical privacy protection based on granular computing.

Based on granular computing methodology, we propose two criteria to quantitatively measure privacy invasion. The total cost criterion measures the effort needed for a data recipient to find private information. The average benefit criterion measures the benefit a data recipient obtains when he received the released data.

Preserving confidentiality when sharing medical database with the Cellsecu system.

We propose a computer system called Cellsecu that maintains the anonymity and the confidentiality of each cell containing sensitive information in medical database. Cellsecu attains this by automatically removing, generalizing, and expanding information. It is designed to enhance data privacy protection so a data warehouse can automatically handle queries.