Objectives: Hand, foot and mouth disease (HFMD) is a widespread infectious disease that causes a significant disease burden on society. To achieve early intervention and to prevent outbreaks of disease, we propose a novel warning model that can accurately predict the incidence of HFMD. Methods: We propose a spatial-temporal graph convolutional network (STGCN) that combines spatial factors for surrounding cities with historical incidence over a certain time period to predict the future occurrence of HFMD in Guangdong and Shandong between 2011 and 2019. The 2011-2018 data served as the training and verification set, while data from 2019 served as the prediction set. Six important parameters were selected and verified in this model and the deviation was displayed by the root mean square error and the mean absolute error. Results: As the first application using a STGCN for disease forecasting, we succeeded in accurately predicting the incidence of HFMD over a 12-week period at the prefecture level, especially for cities of significant concern. Conclusions This model provides a novel approach for infectious disease prediction and may help health administrative departments implement effective control measures up to 3 months in advance, which may significantly reduce the morbidity associated with HFMD in the future.
China/epidemiology* ; Cities/epidemiology* ; Data Visualization ; Disease Outbreaks/statistics & numerical data* ; Forecasting/methods* ; Hand, Foot and Mouth Disease/prevention & control* ; Humans ; Incidence ; Neural Networks, Computer ; Reproducibility of Results ; Spatio-Temporal Analysis ; Time Factors

OBJECTIVE: To establish a digital subtraction angiography (DSA) information management and image analysis system to realize scientific management of DSA image information and efficient processing of image data. METHODS: Based on Java Web under Windows 7 environment, a dynamic Browser/Server mode system was constructed by JSP and Servlet on the network. Eclipse and MySQL were used as development tool and database development platform. Tomcat network information service was used as application server. Matlab codes were embedded to analyze DSA image. RESULTS: The system consists of five modules:image information management, image processing, image analysis, advanced retrieval and clinical data management. It may complete such process as storing, deleting, saving, analyzing of DSA image and basic information of patients. CONCLUSIONS The main interface of the system is user-friendly and easy to operate. The system will be helpful to the clinical, teaching and scientific research work related to DSA.
Angiography, Digital Subtraction ; statistics & numerical data ; Databases, Factual ; Humans ; Indonesia ; Information Management ; Internet ; Software ; User-Computer Interface

Objectives To investigate the morphologic characteristics of intramural hematoma (IMH) on CT angiography (CTA), and evaluate the possible correlation of serum C-reactive protein (CRP) with morphologic characteristics of IMH. Material and Methods Forty-two patients who were initially diagnosed as IMH by aortic CTA and also had serum CRP examination on the same day of CTA were enrolled in this retrospective study, including 30 males and 12 females, with the mean age of 61 ± 14 years old. The volumetric CT data were retrospectively processed and analyzed on post-processing workstation. Based on the thickness of IMH and the length-area curve, the cross-sectional area of true lumen and total vessel were measured, the hematoma-vessel ratio (HVR) was calculated. Imaging characteristics were compared between patients who had pathological elevated CRP (> 0.8 mg/dl) and those did not. Spearman correlation analyses of CRP level and morphological characteristics of IMH were performed, and the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic validity of CRP. Results Of all 42 IMH patients, the mean serum CRP was 3.94 ± 4.71 mg/dl, and the mean HVR was 46.7%± 14.2%. HVR in patients with elevated CRP was significantly higher than those with normal CRP (49.7% ± 15.0% vs. 40.7% ± 10.5 %, P = 0.030). HVR was mildly correlated with CRP in all patients (r =0.48, P < 0.001). CRP levels differed neither between patients with Stanford type A and B (P = 0.207), nor between patients with and without intimal disruption (P = 0.230). To discriminate HVR > 47% (the mean value), the area under curve (AUC) were 0.700 (95% CI: 0.535-0.865) for CRP at a cutoff point of 3.55 mg/dl, with a sensitivity of 54.5% and a specificity of 90.0%. Conclusion CRP was mildly correlated with the severity of cross-sectional hematoma area of IMH, but not with Stanford types and the presence of intimal disruption.
Adult ; Aged ; Aged, 80 and over ; Aorta/pathology* ; C-Reactive Protein/metabolism* ; Computed Tomography Angiography ; Female ; Hematoma/diagnostic imaging* ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; ROC Curve ; Statistics, Nonparametric

Excessive forces may cause root resorption and insufficient forces would introduce no effect in orthodontics. The objective of this study was to investigate the optimal orthodontic forces on a maxillary canine, using hydrostatic stress and logarithmic strain of the periodontal ligament (PDL) as indicators. Finite element models of a maxillary canine and surrounding tissues were developed. Distal translation/tipping forces, labial translation/tipping forces, and extrusion forces ranging from 0 to 300 g (100 g=0.98 N) were applied to the canine, as well as the force moment around the canine long axis ranging from 0 to 300 g·mm. The stress/strain of the PDL was quantified by nonlinear finite element analysis, and an absolute stress range between 0.47 kPa (capillary pressure) and 12.8 kPa (80% of human systolic blood pressure) was considered to be optimal, whereas an absolute strain exceeding 0.24% (80% of peak strain during canine maximal moving velocity) was considered optimal strain. The stress/strain distributions within the PDL were acquired for various canine movements, and the optimal orthodontic forces were calculated. As a result the optimal tipping forces (40-44 g for distal-direction and 28-32 g for labial-direction) were smaller than the translation forces (130-137 g for distal-direction and 110-124 g for labial-direction). In addition, the optimal forces for labial-direction motion (110-124 g for translation and 28-32 g for tipping) were smaller than those for distal-direction motion (130-137 g for translation and 40-44 g for tipping). Compared with previous results, the force interval was smaller than before and was therefore more conducive to the guidance of clinical treatment. The finite element analysis results provide new insights into orthodontic biomechanics and could help to optimize orthodontic treatment plans.
Biomechanical Phenomena ; Computer Simulation ; Cuspid ; anatomy & histology ; physiology ; Dental Models ; Finite Element Analysis ; Humans ; Imaging, Three-Dimensional ; Maxilla ; Orthodontic Friction ; physiology ; Periodontal Ligament ; physiology ; Rotation ; Stress, Mechanical ; Tooth Movement Techniques ; statistics & numerical data

Clinical laboratories for in vitro diagnostics are facing pressure to preserve cost control while providing better services through new initiatives. Laboratory automation is a partial answer to this problem, having come a long way from the early days of clinical laboratory testing. The journey and implementation of automation in the Singapore General Hospital's Clinical Biochemistry Laboratory has allowed for sustained performance in the light of increasing workload and service commitments amid an evolving healthcare environment. Key to realising predicted outcomes is the optimisation of workflow processes, reduction of errors, and spatial placement of specimen reception and analytical areas. This paper gives an overview of our experience with automation in the clinical laboratory and its subsequent impact on service standards.
Aged ; Automation, Laboratory ; Clinical Laboratory Information Systems ; organization & administration ; Clinical Laboratory Techniques ; Efficiency, Organizational ; statistics & numerical data ; Hospitals, General ; Humans ; Laboratories, Hospital ; organization & administration ; Middle Aged ; Quality of Health Care ; Singapore ; Tertiary Healthcare ; organization & administration ; User-Computer Interface ; Workload

OBJECTIVETo develop the prediction model of acute gastrointestinal injury (AGI) classification of critically ill patients.

METHODSThe binary channel gastrointestinal sounds (GIS) monitor system was used to gather and analyze the GIS of 60 consecutive critically ill patients who were admitted in Critical Care Medicine of PLA General Hospital from April 2015 to November 2015 (patients with chronic gastrointestinal disease or history of gastrointestinal surgery were excluded). Meanwhile, the AGI grades were evaluated according to the ESICM guidelines of AGI grading system. Correlations between GIS and AGI classification were examined with Spearman rank correlation. Then principal component analysis was performed on the significantly correlated parameters after standardization. The top 3 post-normalized main components were selected for back-propagation (BP) neural network training to establish primary AGI grade model of critically ill patients based on the neural network model.

RESULTSA total of 1 132 GIS and 333 AGI were collected from 60 patients. The number (P = 0.0005), percentage of time (P = 0.0004), mean power (P = 0.0088), maximum power (P = 0.0101) and maximum time (P = 0.0025) of GIS wave from the channel located at the stomach were negatively correlated with the AGI grades, while the parameters of GIS wave from the channel located at the intestine had no significant correlation with the AGI grades(all P > 0.05). Three main components were selected after principal component analysis of these five correlated parameters. An AGI grade network model including 9 hide layers, with a fitting degree of 0.981 64 was built by BP artificial neural network based on the analysis of these three main components of GIS. The accuracy rate of the model to predict the AGI grade was 70.83%.

CONCLUSIONThe preliminary model based on GIS in classifying AGI grade is established successfully, which can help predict the classification of AGI grade of critically ill patients.

Abdominal Injuries ; classification ; diagnosis ; Auscultation ; instrumentation ; methods ; statistics & numerical data ; Computer Simulation ; Critical Care ; methods ; Critical Illness ; classification ; Diagnosis, Computer-Assisted ; instrumentation ; methods ; Diagnostic Techniques, Digestive System ; instrumentation ; statistics & numerical data ; Humans ; Models, Biological ; Neural Networks (Computer) ; Predictive Value of Tests

Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented with epidemiologic data, the women could easily assess breast cancer risk using internet. National Cancer Institute in the United States has released a Web-based Breast Cancer Risk Assessment Tool based on Gail model. However, it is inapplicable directly to Korean women since breast cancer risk is dependent on race. Also, it shows low accuracy (58%-59%). In this study, breast cancer discrimination models for Korean women are developed using only epidemiological case-control data (n = 4,574). The models are configured by different classification techniques: support vector machine, artificial neural network, and Bayesian network. A 1,000-time repeated random sub-sampling validation is performed for diverse parameter conditions, respectively. The performance is evaluated and compared as an area under the receiver operating characteristic curve (AUC). According to age group and classification techniques, AUC, accuracy, sensitivity, specificity, and calculation time of all models were calculated and compared. Although the support vector machine took the longest calculation time, the highest classification performance has been achieved in the case of women older than 50 yr (AUC = 64%). The proposed model is dependent on demographic characteristics, reproductive factors, and lifestyle habits without using any clinical or genetic test. It is expected that the model could be implemented as a web-based discrimination tool for breast cancer. This tool can encourage potential breast cancer prone women to go the hospital for diagnostic tests.
Adult ; Aged ; Aged, 80 and over ; Breast Neoplasms/*diagnosis/*epidemiology ; Diagnosis, Computer-Assisted/*methods ; Early Detection of Cancer/*methods ; Female ; Humans ; *Machine Learning ; Middle Aged ; Pattern Recognition, Automated/methods ; Prevalence ; Reproducibility of Results ; Republic of Korea/epidemiology ; Risk Assessment/methods ; Risk Factors ; Sensitivity and Specificity ; Women's Health/*statistics & numerical data

BACKGROUND: Total knee arthroplasty (TKA) is associated with considerable blood loss. Computer-assisted surgery (CAS) is different from conventional TKA as it avoids opening the intramedullary canal. Hence, CAS should be associated with less blood loss. METHODS: Fifty-seven patients were randomized into two groups of CAS and conventional TKA. In conventional group intramedullary femoral and extramedullary tibial jigs were used whereas in CAS group imageless navigation system was used. All surgeries were done under tourniquet. Total and hidden blood loss was calculated in both groups and compared. RESULTS: The mean total blood loss was 980 mL in conventional group and 970 mL in CAS group with median of 1,067 mL (range, 59 to 1,791 mL) in conventional group and 863 mL (range, 111 to 2,032 mL) in CAS group. There was no significant difference in total blood loss between the two groups (p = 0.811). We have found significant hidden blood loss in both techniques, which is 54.8% of the total loss in the conventional technique and 59.5% in the computer-assisted navigation technique. CONCLUSIONS: There is no significant difference in total and hidden blood loss in the TKA in CAS and conventional TKA. However, there is significant hidden blood loss in both techniques. There was no relation of tourniquet time with blood loss.
Arthroplasty, Replacement, Knee/*methods ; Blood Loss, Surgical/*prevention & control/*statistics & numerical data ; Female ; Humans ; Male ; Middle Aged ; Prospective Studies ; *Surgery, Computer-Assisted ; Time Factors ; Tourniquets

Objective personality tests, such as the Minnesota Multiphasic Personality Inventory (MMPI), might be more sensitive to reflect subclinical personality and be more state-dependent in an individual's lifetime, so they are good scales to predict the psychological distress regarding certain states. The aim of this study was to identify the specific pattern between body mass index (BMI) and psychological distress using the objective personality test. For this study, we investigated BMI and the Korean Military Multiphasic Personality Inventory (MPI). A retrospective cross-sectional study was conducted with 19-yr-old examinees who were admitted to the Military Manpower Administration in Korea from February 2007 to January 2010. Of 1,088,107 examinees, we enrolled 771,408 subjects who were psychologically apparent healthy possible-military-service groups. Afterwards, we reviewed and analyzed directly measured BMI and MPI results. In terms of the validity scales, the faking-good subscale showed an inverted U-shaped association, and faking-bad and infrequency subscales showed a U-shaped association with BMI groups. In terms of the neurosis scales, all clinical subscales (anxiety, depression, somatization, and personality disorder) also showed a U-shaped association with BMI groups. For the psychopath scales, the schizophrenia subscale showed a U-shaped association, and the paranoia subscale showed a near-positive correlation with BMI. In conclusion, a specific U-shaped pattern was observed between BMI and the MPI in 19-yr-old men in Korea. Underweight and obesity are related to psychological distress, so supportive advice and education are needed to them.
Adult ; *Body Mass Index ; Causality ; Comorbidity ; Computer Simulation ; Cross-Sectional Studies ; Humans ; Male ; Men's Health ; Models, Biological ; Models, Psychological ; Multiphasic Screening/methods ; Obesity/*epidemiology/psychology ; Personality Inventory/*statistics & numerical data ; Prevalence ; Reproducibility of Results ; Republic of Korea/epidemiology ; Risk Factors ; Sensitivity and Specificity ; Stress, Psychological/diagnosis/*epidemiology/*psychology ; Thinness/*epidemiology/psychology ; Young Adult

This paper aims to investigate whether good governance of a recipient country is a necessary condition and what combinations of factors including governance factor are sufficient for low prevalence of HIV/AIDS in HIV/AIDS aid recipient countries during the period of 2002-2010. For this, Fuzzy-set Qualitative Comparative Analysis (QCA) was used. Nine potential attributes for a causal configuration for low HIV/AIDS prevalence were identified through a review of previous studies. For each factor, full membership, full non-membership, and crossover point were specified using both author's knowledge and statistical information of the variables. Calibration and conversion to a fuzzy-set score were conducted using Fs/QCA 2.0 and probabilistic tests for necessary and sufficiency were performed by STATA 11. The result suggested that governance is the necessary condition for low prevalence of HIV/AIDS in a recipient country. From sufficiency test, two pathways were resulted. The low level of governance can lead to low level of HIV/AIDS prevalence when it is combined with other favorable factors, especially, low economic inequality, high economic development and high health expenditure. However, strengthening governance is a more practical measure to keep low prevalence of HIV/AIDS because it is hard to achieve both economic development and economic quality. This study highlights that a comprehensive policy measure is the key for achieving low prevalence of HIV/AIDS in recipient country.
Acquired Immunodeficiency Syndrome/*epidemiology/prevention & control ; Computer Simulation ; Developing Countries/*economics/statistics & numerical data ; Economic Development/statistics & numerical data ; Fraud/economics/*statistics & numerical data ; Fuzzy Logic ; HIV Infections/*epidemiology/prevention & control ; Humans ; Models, Statistical ; Prevalence ; Risk Factors ; Socioeconomic Factors