• Journal of The Korea Institute of Healthcare Architecture
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• v.6 no.10
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• pp.23-30
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• 2000

The purpose of this study is to provide the basic data that helps the supplying medical resources through understanding the present conditions of medical resources and the territory of diagnosis in Uijongbu city. To achieve this goal, the statistical data related to the medical resources of Uijongbu city were analyzed; the number of population, medical facility, beds for inpatients, medical personnels and so on. Through the analysis of statistical data, it was revealed that the present conditions of medical resources are so insufficient in Uijongbu city. The results of the study were as follows; Firstly, it should be added to the beds for inpatients. Secondly, it should be characterized by specialization of hospitals. Thirdly, it should be added to the herb medicine hospital.

• Journal of The Korea Institute of Healthcare Architecture
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• v.4 no.6
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• pp.49-55
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• 1998

Ansan city is the first planned city by the government. It became a city in 1980, its population has already surpassed 300,000, and nowadays the population reaches 550,000. It is expected that the population will be increased more and more, because of the "Go-jan Developing". Even though the increasing of its population, An-san is being blamed because of the unbalanced development. The purpose of this study is to give the basic data that helps the supplying medical facilities through understanding the present conditions of medical facilities and the territory of diagnosis in An-san.

• Land and Housing Review
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• v.9 no.2
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• pp.1-7
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• 2018

The purpose of this study is to suggest diagnosis indicators and checklist for urban regeneration projects by Korea Land & Housing Corporation(LH). There are already deprivation indices in the Urban Regeneration Act but not any additional guidelines in the practical aspect. In order to use the diagnosis indicators, the central government should supply more specific checklist to the actors in the regeneration field. The key actor of many stakeholders is LH as an operator and implementer in the regeneration projects. So far, LH has developed housing and cities and there haven't been any obvious changes to realize public benefit in the deteriorated area. From now on, It has to plan, implement, and manage a lot of regeneration projects entirely. Therefore, It is necessary to develope and apply the diagnosis indicators and checklist based on projects. This paper came up with the 6 factors related with LH business field : housing, urban infrastructure, public service, private service, environment, and smart city. For these, 32 diagnosis indicators and 72 checklists were selected that can include both physical and qualitative indicators. These can be used not only for the selection of regeneration projects but also for the process monitoring such as planning and implementation.

• Journal of Environmental Science International
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• v.32 no.8
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• pp.595-611
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• 2023

The purpose of this study is to improve the daily prediction results of PM2.5 from the air quality diagnosis and evaluation system operated by the Busan Institute of Health and Environment in real time. The air quality diagnosis and evaluation system is based on the photochemical numerical model, CMAQ (Community multiscale air quality modeling system), and includes a 3-day forecast at the end of the model's calculation. The photochemical numerical model basically has limitations because of the uncertainty of input data and simplification of physical and chemical processes. To overcome these limitations, this study applied DNN (Deep Neural Network), a deep learning technique, to the results of the numerical model. As a result of applying DNN, the r of the model was significantly improved. The r value for GFS (Global forecast system) and UM (Unified model) increased from 0.77 to 0.87 and 0.70 to 0.83, respectively. The RMSE (Root mean square error), which indicates the model's error rate, was also significantly improved (GFS: 5.01 to 6.52 ug/m³ , UM: 5.76 to 7.44 ug/m³ ). The prediction results for each concentration grade performed in the field also improved significantly (GFS: 74.4 to 80.1%, UM: 70.0 to 77.9%). In particular, it was confirmed that the improvement effect at the high concentration grade was excellent.

• Proceedings of the KOSOMBE Conference
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• v.1993 no.11
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• pp.145-150
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• 1993

It is an important component of the diagnosis to research the morphological changes of EMG in pathological conditions. In order to provide an EMG signal resulting from a predetermined neuromuscular pathophysiology, we have initially developed a mathmatical model of electromyographic interference pattern(IP). It can be used to study the variation of the IP resulting from morphological and electrophysiological changes occurring in disease states, because the model computes the IP from the underlying fiber and muscle structure. We performed quantative analysis or the model output, focusing on IPs resulting from simulations of dystrophic fiber loss and the MU denervation and reinnervation typical of neuropathies. To discribe the characteristics of IPs associated with these pathologies, a set of frequency domain discriptors, activity, mobility, and complexity were used, as well as several measures of the spectral density function. These discriptors demonstrate distinct patterns of variation corresponding to morphological changes observed in disease states, and closely with results obtained from the classical method, turn/amp technique.

• Structural Engineering and Mechanics
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• v.16 no.5
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• pp.581-595
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• 2003

Since the conventional direct approaches are hard to be applied for damage diagnosis of complex large-scale structures, a two-step approach for diagnosing the joint damage of framed structures is presented in this paper by using artificial neural networks. The first step is to judge the damaged areas of a structure, which is divided into several sub-areas, using probabilistic neural networks with natural Frequencies Shift Ratio inputs. The next step is to diagnose the exact damage locations and extents by using the Radial Basis Function (RBF) neural network with the second Element End Strain Mode of the damaged sub-area input. The results of numerical simulation show that the proposed approach could diagnose the joint damage of framed structures induced by earthquake action effectively and has reliable anti-jamming abilities.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.635-639
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• 2015

Background: In the absence of routine screening program for cervical cancer in Iran and high rate of diagnosed cancer in its advanced stage, recognition of sociodemographic factors related to delayed diagnosis of cancer in Iran could be helpful in reducing the burden of disease in our community. The aim of this study was to determine the stage of cervical cancer at diagnosis and factors related to delayed diagnosis of cervical cancer in Isfahan, Iran. Materials and Methods: In this cross sectional study women diagnosed with cervical cancer for the first time by histo-pathological examination were enrolled. According to the clinical and paraclinical findings and staging of the cancer, they were classified into early and delayed diagnosis of cervical cancer. Sociodemographic factors were compared in the two groups. Results: In this study of 55 women mean age was $48.3{\pm}12.0.$ According to our classification 6/55 (10.9%) and 49/55 (89.1%) of them had early and delayed diagnosis of cervical cancer. Delayed diagnosis of the cancer was significantly higher in patients with lower degree of education, lower socioeconomic status, having smoker and addict husband and those who did not have a history of Pap smear test (p<0.05). Conclusions: The results of this study indicated risk factors related to delayed diagnosis of cervical cancer. The affected women should be targeted for implementation of specialized educational programmes for improving knowledge and screening test.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2009.10a
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• pp.229-233
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• 2009

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.2919-2923
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• 2013

Esophageal cancer (EC) is one of the most common malignant tumors, and the incidence of esophageal squamous cell carcinoma (ESCC) is highest in China. Early diagnosis and effective monitoring are keys to comprehensive treatment and discovering tumor metastases and recurrence in time. The aim of this study was to confirm serum peptidome pattern utility for diagnosis of ESCC, and assessment of operation success, postoperative chemotherapy results, tumor metastasis and recurrence. Serum samples were collected from 61 patients treated with surgery and chemotherapy and 20 healthy individuals. Spectral data generated with weak cationic-exchanger magnetic beads (WCX-MB) and MALDI-TOF MS by a support vector machine (SVM), were used to construct diagnostic models and system training as potential biomarkers. A pattern consisting of 11 protein peaks, separated ESCC (m/z 650.75), operated (m/z 676.61, 786.1, 786.58), postoperative chemotherapy (m/z 622.77, 650.66, 676.46) and tumor metastasis and recurrence (m/z 622.63, 650.56, 690.77, 676.12) from the healthy individuals with a sensitivity of 100.0% and a specificity of 100.0%. These results suggested that MALDITOF MS combined with MB separation yields significantly higher sensitivity and specificity for the detection of serum protein in patients with EC patients treated with surgery and chemotherapy.

• Journal of Preventive Medicine and Public Health
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• v.52 no.3
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• pp.179-187
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• 2019

Objectives: In the USA, certain races and ethnicities have a disproportionately higher gastric cancer burden. Selective screening might allow for earlier detection and curative resection. Among a USA-based multiracial and ethnic cohort diagnosed with non-cardia gastric cancer (NCGC), we aimed to identify factors associated with curable stage disease at diagnosis. Methods: We retrospectively identified endoscopically diagnosed and histologically confirmed cases of NCGC at Mount Sinai Hospital in New York City. Demographic, clinical, endoscopic and histologic factors, as well as grade/stage of NCGC at diagnosis were documented. The primary outcome was the frequency of curable-stage NCGC (stage 0-1a) at diagnosis in patients with versus without an endoscopy negative for malignancy prior to their index exam diagnosing NCGC. Additional factors associated with curable-stage disease at diagnosis were determined. Results: A total of 103 racially and ethnically diverse patients were included. Nearly 38% of NCGC were stage 0-Ia, 34% stage Ib-III, and 20.3% stage IV at diagnosis. A significantly higher frequency of NCGC was diagnosed in curable stages among patients who had undergone an endoscopy that was negative for malignancy prior to their index endoscopy that diagnosed NCGC, compared to patients without a negative endoscopy prior to their index exam (69.6% vs. 28.6%, p=0.003). A prior negative endoscopy was associated with 94.0% higher likelihood of diagnosing curable-stage NCGC (p=0.003). No other factors analyzed were associated with curablestage NCGC at diagnosis. Conclusions: Endoscopic screening and surveillance in select high-risk populations might increase diagnoses of curable-stage NCGC. These findings warrant confirmation in larger, prospective studies.