Leuconostoc mesenteroides growth in food products: prediction and sensitivity analysis by adaptive-network-based fuzzy inference systems.

Background: An adaptive-network-based fuzzy inference system (ANFIS) was compared with an artificial neural network (ANN) in terms of accuracy in predicting the combined effects of temperature (10.5 to 24.5°C), pH level (5.

Transforming laboratory data to improve medical care for patients with chronic kidney disease.

Background: Reviewing laboratory data is a key method in dialysis research. However, data collection via a traditional prospective study is invariably costly in terms of money and time. Abstracting data from existing databases using multiple methods to identify underlying knowledge offers an alternative means of reducing the medical uncertainties.

Discovering meaningful information from large amounts of environment and health data to reduce uncertainties in formulating environmental policies.

This study uses knowledge discovery concepts to analyze large amounts of data step by step for the purpose of assisting in the formulation of environmental policy. We performed data cleansing and extracting from existing nation-wide databases, and used regression and classification techniques to analyze the data. The current water hardness in Kaohsiung, Taiwan contributes to the prevention of cardiovascular disease (CVD) but exacerbates the development of renal stones (RS).

Developing a safety and health training model for petrochemical workers.

The production processes of the petrochemical industry expose workers to high potential hazards. Our previous study showed that hazard recognition was closely related to worker safety and health training activities. The purpose of this study was to establish and validate a safety and health training model.

Building collapse and human deaths resulting from the Chi-Chi Earthquake in Taiwan, September 1999.

In this study, the authors attempted to determine factors associated with earthquake deaths in the great Chi-Chi Earthquake that occurred on September 21, 1999, in Taiwan. An isoseismal map was used to identify life-threatening hazards. The vertical peak ground acceleration of ground motion intensity was deemed the most appropriate index for the evaluation of building collapse and mortality.

Important variable selection techniques with multiple solutions for medical information applications.

The purpose of this study is to utilize the strategy of multiple solutions with easily operated tools to make compatible and affordable trustworthy results. This strategy can satisfy general users in extracting specific knowledge (e.g.

Appropriate medical data categorization for data mining classification techniques.

Some data mining (DM) methods, or software tools, require normalized data, others rely on categorized data, and some can accommodate multiple data scales. Each DM technique has a specific background theory; therefore, different results are expected when applying multiple methods. The purpose of this study is to find the data format appropriate for each DM classification technique for wider applications, and efficiently to obtain trustworthy results.