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COVID-19 prediction models: a systematic literature review

Shakeel SM, Kumar NS, Madalli PP, Srinivasaiah R, Swamy DR

As the world grapples with the problem of the coronavirus disease 2019 (COVID-19) pandemic and its devastating effects, scientific groups are working towards solutions to mitigate the effects of the...
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Prediction of Cancer Incidence and Mortality in Korea, 2021

Jung KW, Won YJ, Hong S, Kong HJ, Im JS, Seo HG

Purpose This study aimed to report the projected cancer incidence and mortality for the year 2021 to estimate Korea’s current cancer burden. Materials and Methods Cancer incidence data from 1999 to...
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Current Status and Future Forecast of the Number of Otolaryngologists in Korea

Lee J, Kim JK, Cho JH

Background and Objectives The number of otolaryngologists in Korea has increased rapidly in recent years. However, as the population is expected to decrease gradually, it is necessary to study the appropriate...
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Forecasting COVID-19 Transmission and Healthcare Capacity in Bali, Indonesia

Wirawan IMA, Januraga PP

Objectives: In the current early phase of the coronavirus disease 2019 (COVID-19) outbreak, Bali needs to prepare to face the escalation of cases, with a particular focus on the readiness...
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Prediction of Cancer Incidence and Mortality in Korea, 2020

Jung KW, Won YJ, Hong S, Kong HJ, Lee ES

Purpose This study aimed to report the projected cancer incidence and mortality for the year 2020 to estimate Korea’s current cancer burden. Materials and Methods Cancer incidence data from 1999 to 2017 were obtained...
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Development and validation of risk score for predicting spontaneous rupture of hepatocellular carcinoma

Ye F, Ma D, Gong XY, Yang YC, Chen YJ

Purpose: Spontaneous rupture is a potentially serious complication of liver cancer. A risk score was developed and validated for predicting spontaneous rupture based on a retrospective study. Methods: Multiple logistic regression...
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Estimation of the reproduction number and early prediction of the COVID-19 outbreak in India using a statistical computing approach

Kanagarathinam K, Sekar K

Coronavirus disease 2019 (COVID-19), which causes severe respiratory illness, has become a pandemic. The World Health Organization has declared it a public health crisis of international concern. We developed a...
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Prediction of Cancer Incidence and Mortality in Korea, 2019

Jung KW, Won YJ, Kong HJ, Lee ES

PURPOSE: This study aimed to report on cancer incidence and mortality for the year 2019 to estimate Korea's current cancer burden. MATERIALS AND METHODS: Cancer incidence data from 1999 to 2016...
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Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data

Baik I

BACKGROUND: A number of studies have reported future prevalence estimates for diabetes mellitus (DM), but these studies have been limited for the Korean population. The present study aimed to construct...
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Predicting the Number of People for Meals of an Institutional Foodservice by Applying Machine Learning Methods: S City Hall Case

Jeon J, Park E, Kwon O

Predicting the number of meals in a foodservice organization is an important decision-making process that is essential for successful food production, such as reducing the amount of residue, preventing menu...
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Robotic surgery for liver, pancreas, and bile duct pathologies: A critical analysis and personal views

Matteotti

At the beginning of this millennium robotic surgery was launched and quickly became accepted in many surgical specialties. Initially only resection procedures were performed with a few surgical steps made...
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Adequacy of Nurse Staffing Level in Integrated Nursing Care

Kim J, Kim S, Park J, Park E, Jeong S, Lee E

PURPOSE: This study was done to evaluate the adequacy of nurse staffing in integrated nursing care. METHODS: Statistical data on integrated nursing care from the National Health Insurance Corporation was used...
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The Past, Present and Future of Heart Transplantation

Kim IC, Youn JC, Kobashigawa JA

Heart transplantation (HTx) has become standard treatment for selected patients with end-stage heart failure. Improvements in immunosuppressant, donor procurement, surgical techniques, and post-HTx care have resulted in a substantial decrease...
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Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors

Baik I

BACKGROUND/OBJECTIVES: There are few studies that forecast the future prevalence of obesity based on the predicted prevalence model including contributing factors. The present study aimed to identify factors associated with...
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Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System

Maharlou H, Niakan Kalhori SR, Shahbazi S, Ravangard

OBJECTIVES: Accurate prediction of patients' length of stay is highly important. This study compared the performance of artificial neural network and adaptive neuro-fuzzy system algorithms to predict patients' length of...
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Prediction of Cancer Incidence and Mortality in Korea, 2018

Jung KW, Won YJ, Kong HJ, Lee ES

PURPOSE: This study aimed to report on cancer incidence and mortality for the year 2018 to estimate Korea's current cancer burden. MATERIALS AND METHODS: Cancer incidence data from 1999 to 2015...
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Lifestyle Risk Prediction Model for Prostate Cancer in a Korean Population

Kim SH, Kim S, Joung JY, Kwon WA, Seo HK, Chung J, Nam BH, Lee KH

PURPOSE: The use of prostate-specific antigen as a biomarker for prostate cancer (PC) has been controversial and is, therefore, not used by many countries in their national health screening programs....
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Prediction of Cancer Incidence and Mortality in Korea, 2017

Jung KW, Won YJ, Oh CM, Kong HJ, Lee DH, Lee KH

PURPOSE: This study aimed to report on cancer incidence and mortality for the year 2017 in Korea in order to estimate the nation’s current cancer burden. MATERIALS AND METHODS: Cancer incidence...
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The future prospects of supply and demand for urologists in Korea

Oh Y

PURPOSE: The purpose of this study was to forecast the future supply and demand for urologists and to discuss the possible policy implications. MATERIALS AND METHODS: A demographic utilization-based model was...
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Forecasting Cause-Specific Mortality in Korea up to Year 2032

Yun JW, Son M

Forecasting cause-specific mortality can help estimate the future burden of diseases and provide a clue for preventing diseases. Our objective was to forecast the mortality for causes of death in...
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