Thyroid cancer is one of the major health concerns after the accident in the Fukushima Dai-ichi nuclear power station (NPS). Currently, ultrasonography surveys are being performed for persons residing in the Fukushima Prefecture at the time of the accident with an age of up to 18 years. Here, the expected thyroid cancer prevalence in the Fukushima Prefecture is assessed based on an ultrasonogra...

Stroke (Cerebral vascular accident, CVA) is a common and serious disease. Most of the survivals would be disabled after their illness recovery, causes serious burden on caregivers. It is said that rehabilitation could help functional recovery of stroke patients, regain independence after stroke. Due to the long course of stroke, how to prevent survivals from recurrence is an important issue. Th...

OBJECTIVE Analysis of major perioperative morbidity has become an important factor in assessment of quality of patient care. We have conducted a prospective study of a large population of patients undergoing coronary artery bypass surgery (CABG), to identify preoperative risk factors and to develop and validate risk-prediction models for peri- and postoperative morbidity. METHODS Data on 4567...

Traffic accident data are usually noisy, contain missing values, and heterogeneous. How to select the most important variables to improve real-time traffic accident risk prediction has become a concern of many recent studies. This paper proposes a novel variable selection method based on the Frequent Pattern tree (FP tree) algorithm. First, all the frequent patterns in the traffic accident data...

Modeling traffic-accident frequency is a critical issue to better understand the accident trends and effectiveness of current traffic policies practices in different countries. The main objectives this study are model road accidents, fatalities injuries Jordan, using modeling techniques, including regression, artificial neural network (ANN) autoregressive integrated moving average (ARIMA) model...

Estimating the severity of a traffic accident is problem in motor vehicle because it affects saving human life. If value can be predicted before occurs, all emergency teams needed could sent to area provide faster first aid. With this aim, we studied big data set for accidents USA between 2016 and 2020, which almost 2.25x106 rows long. First, preprocessed by removing unnecessary variables. Then...