Medical Big Data Analysis in Hospital Information System

The rapidly increasing medical data generated from hospital information system (HIS) signifies the era of Big Data in the healthcare domain. These data hold great value to the workflow management, patient care and treatment, scientific research, and education in the healthcare industry. However, the complex, distributed, and highly interdisciplinary nature of medical data has underscored the limitations of traditional data analysis capabilities of data accessing, storage, processing, analyzing, distributing, and sharing. New and efficient technologies are becoming necessary to obtain the wealth of information and knowledge underlying medical Big Data. This chapter discusses medical Big Data analysis in HIS, including an introduction to the fundamental concepts, related platforms and technologies of medical Big Data processing, and advanced Big Data processing technologies

A Solution to the Problem of “Credit Discrimination against SME”: From Cross Organization Information Sharing of G2B E-government

To solve the problem of Credit Discrimination against SME , firstly the relevant literature concerning the approaches to the problem is reviewed and deficiencies are pointed out. Then the role of government and the mode of credit information sharing in foreign countries are analyzed, which can be valued as the practice basis of E-government services design. Finally, on the basis of policies and regulations and actual situation in China and theoretical analysis, the paper constructed the value of cross-organizational information sharing service value network and services model, and designed E-government service system in SME lending decisions and supervision, as a new perspective to solve the problem of the discrimination. This study provides a reference for developing countries that have a similar problem of Credit Discrimination against SME and same conditions of credit information

Complete Solution for Vehicle Re-ID in Surround-view Camera System

Vehicle re-identification (Re-ID) is a critical component of the autonomous driving perception system, and research in this area has accelerated in recent years. However, there is yet no perfect solution to the vehicle re-identification issue associated with the car's surround-view camera system. Our analysis identifies two significant issues in the aforementioned scenario: i) It is difficult to identify the same vehicle in many picture frames due to the unique construction of the fisheye camera. ii) The appearance of the same vehicle when seen via the surround vision system's several cameras is rather different. To overcome these issues, we suggest an integrative vehicle Re-ID solution method. On the one hand, we provide a technique for determining the consistency of the tracking box drift with respect to the target. On the other hand, we combine a Re-ID network based on the attention mechanism with spatial limitations to increase performance in situations involving multiple cameras. Finally, our approach combines state-of-the-art accuracy with real-time performance. We will soon make the source code and annotated fisheye dataset available.Comment: 11 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:2006.1650

Diaqua­bis­(5-carb­oxy-2-propyl-1H-imidazole-4-carboxyl­ato-κ2 N 3,O 4)cadmium(II) 3.5-hydrate

In the title complex, [Cd(C8H9N2O4)2(H2O)2]·3.5H2O, the CdII is coordinated by two water mol­ecules and N,O-chelated by two 5-carb­oxy-2-propyl-1H-imidazole-4-carboxyl­ate anions in a distorted octa­hedral geometry. The two imidazole rings are oriented to each other with a dihedral angle of 75.1 (2)°. Strong O—H⋯O hydrogen bonds between protonated and deprotonated carboxyl­ate groups occur in the mol­ecular structure. In the crystal structure extensive O—H⋯O and N—H⋯O hydrogen bonds help to stabilize the three-dimensional supra­molecular framework. The propyl groups of anions are disordered over two sites with refined occupancies of 0.768 (6):0.232 (6) and 0.642 (8):0.358 (8)

Long-term unmet needs after stroke:systematic review of evidence from survey studies

OBJECTIVES: To synthesise evidence on longer term unmet needs perceived by stroke survivors, and psychometric properties of the tools used to evaluate unmet care needs after stroke. DESIGN: Systematic review. SETTING: Community or patients' home. PARTICIPANTS: Stroke survivors. METHODS: We searched PubMed, PsycINFO, CINAHL, EMBASE from inception to 31 March 2018 to identify survey studies that evaluated unmet needs perceived by stroke survivors after hospital discharge. Reported unmet needs were categorised under three domains: body functioning, activity/participation and environmental factors. Ranges of prevalence rates of unmet needs reported in studies were presented. RESULTS: We included 19 eligible studies, with considerable heterogeneity in patients, survey methods and results. Psychometric properties of two stroke-specific tools were formally evaluated, indicating their moderate reliability and content/concurrent validity. The median number of reported unmet needs per stroke survivor was from two to five, and the proportion of stroke survivors with at least one unmet needs was on average 73.8% (range 19.8%- 91.7%). Unmet needs perceived by stroke survivors included 55 records of unmet body functioning needs, 47 records of unmet activities/participatory needs and 101 records of unmet environmental needs. Common unmet service needs were unmet information needs (3.1%- 65.0%), transport (5.4%-53.0%), home help/personal care (4.7%-39.3%) and therapy (2.0%-35.7%). CONCLUSIONS: The prevalence of unmet long-term needs is high among stroke survivors, and there is considerable heterogeneity in type and frequency of specific unmet needs. More research is required to link regular assessment of long-term unmet needs of stroke survivors with the provision of cost-effective patient-centred health and social care services

Tetra­aqua­(nitrato-κ2 O,O′)bis­(pyridinium-4-carboxyl­ate-κO)europium(III) dinitrate

The asymmetric unit of the title compound, [Eu(NO3)(C6H5NO2)2(H2O)4](NO3)2, consists of one-half of the C 2 symmetric coordination cation and one nitrate anion. The eight-coordinated EuIII atom is in a distorted dodeca­hedral coordination environment. The coordination cations and nitrate anions are connected via O—H⋯O and N—H⋯O hydrogen bonds into a three-dimensional network