![](images/graphics/blank.gif)
Risk prediction models
-
The purpose of this study was to develop an individual survival prediction model based on multiple machine learning (ML) algorithms to predict survival probability for remnant gastric cancer (RGC).
14p
vishanshan
27-06-2024
1
1
Download
-
To establish and validate a predictive model combining pretreatment multiparametric MRI-based radiomic signatures and clinical characteristics for the risk evaluation of early rapid metastasis in nasopharyngeal carcinoma (NPC) patients.
12p
vishanshan
27-06-2024
2
1
Download
-
This study aimed to determine the factors that contribute to the failure of bowel preparation in patients undergoing colonoscopy and to develop a risk prediction model. A total of 1115 outpatients were included. Patients were randomly divided into two groups: the modeling group (669 patients) and the validation group (446 patients).
11p
vishanshan
27-06-2024
1
1
Download
-
Chemoradiotherapy is a critical treatment for patients with locally advanced and unresectable nonsmall cell lung cancer (NSCLC), and it is essential to identify high-risk patients as early as possible owing to the high incidence of radiation pneumonitis (RP). This study aimed to investigate the value of computed tomography (CT)-based radiomics combined with genomics in analyzing the risk of grade≥2 RP in unresectable stage III NSCLC.
10p
vishanshan
27-06-2024
1
1
Download
-
Prostate cancer (PCa) is one of the major tumor diseases that threaten men’s health globally, and biochemical recurrence significantly impacts its prognosis. Disulfidptosis, a recently discovered cell death mechanism triggered by intracellular disulfide accumulation leading to membrane rupture, is a new area of research in the context of PCa. Currently, its impact on PCa remains largely unexplored.
12p
vishanshan
27-06-2024
3
1
Download
-
Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) to build an independent polysomnography (PSG) model to analyze risk factors and predict OSAHS.
11p
vishanshan
27-06-2024
1
1
Download
-
Results regarding whether it is essential to incorporate genetic variants into risk prediction models for esophageal cancer (EC) are inconsistent due to the different genetic backgrounds of the populations studied. We aimed to identify single-nucleotide polymorphisms (SNPs) associated with EC among the Chinese population and to evaluate the performance of genetic and non-genetic factors in a risk model for developing EC.
10p
vishanshan
27-06-2024
2
1
Download
-
Although radical surgical resection is the most effective treatment for hepatocellular carcinoma (HCC), the high rate of postoperative recurrence remains a major challenge, especially in patients with alpha-fetoprotein (AFP)-negative HCC who lack effective biomarkers for postoperative recurrence surveillance. In this study, we propose to develop a radiomics model based on preoperative CECT to predict the risk of early recurrence after surgery in AFP-negative HCC.
12p
vikoch
27-06-2024
1
1
Download
-
Glioma recurrence, subsequent to maximal safe resection, remains a pivotal challenge. This study aimed to identify key clinical predictors influencing recurrence and develop predictive models to enhance neurological diagnostics and therapeutic strategies.
12p
vikoch
27-06-2024
1
1
Download
-
Papillary thyroid carcinoma (PTC) is the most frequent malignant tumor in thyroid carcinoma. The aim of this study was to explore the risk factors associated with central lymph node metastasis in papillary thyroid microcarcinoma (PTMC) and establish a nomogram model that can assess the probability of central lymph node metastasis (CLNM).
10p
vikoch
27-06-2024
2
1
Download
-
To screen the risk factors affecting the recurrence risk of patients with ampullary carcinoma (AC)after radical resection, and then to construct a model for risk prediction based on Lasso-Cox regression and visualize it.
10p
vikoch
27-06-2024
3
1
Download
-
The risk category of gastric gastrointestinal stromal tumors (GISTs) are closely related to the surgical method, the scope of resection, and the need for preoperative chemotherapy. We aimed to develop and validate convolutional neural network (CNN) models based on preoperative venous-phase CT images to predict the risk category of gastric GISTs.
10p
vikoch
27-06-2024
2
1
Download
-
Studies have revealed that acute myeloid leukemia (AML) patients are prone to combined cardiac injury. We aimed to identify hematological risk factors associated with cardiac injury in newly diagnosed AML patients before chemotherapy and develop a personalized predictive model.
16p
vikoch
27-06-2024
1
1
Download
-
Ebook Business statistics with Exceland Tableau: A hands-on guide with screencasts and data includes content: Chapter 2: visualization and tableau: telling (true) stories with data, chapter 3: writing up your findings, chapter 4: data and how to get it, chapter 5: testing whether quantities are the same, chapter 6: regression: predicting with continuous variables, chapter 7: checking your regression model, chapter 8: time series introduction and smoothing methods, chapter 9: time series regression methods, chapter 10: optimization, chapter 11: morecomplex optimization, chapter 12: predictin...
247p
zizaybay1103
29-05-2024
4
1
Download
-
This has increased the risk of water pollution and reduced the quality of surface water, resulting in a shortage of clean water for the daily lives of people in the province. The article has studied the application of the MIKE11-ECOLab model and correlation analysis method to assess the current situation of the wastewater receiving capacity of the central river system in Nam Dinh province. At the same time, it also analyzes and predicts the wastewater receiving capacity of the central river system in the province according to the trend of socio-economic development.
9p
dianmotminh02
03-05-2024
3
1
Download
-
Robustness of supply chain is rapidly expanding due to mitigation and reduction in the risk of unexpected and destructive events in the companies. As it is impossible for companies to resume their business post major crisis, the prediction of environmental factors that surround the companies paved way for development of a disaster recovery plan. 80% of the companies suffer from business interruptions and lack clarity in disaster management plan.
7p
longtimenosee10
26-04-2024
3
1
Download
-
In a perspective of improvement of the performance of the supply chain of the Moroccan companies, we have relied on the data of 32 Moroccan companies in order to analyze the criticalities of the 16 factors mentioned in this article, to identify the most critical factors and their impacts on firm objectives, and to deliver a model for predicting the risk levels by a multiple linear regression model.
8p
longtimenosee10
26-04-2024
7
2
Download
-
This article uses the ARIMA model to forecast equity risk of listed telecommunications and technology companies in Vietnam, based on quarterly data of listed telecommunications technology companies in the period 2011 - 2023. The results show that the ARIMA Model (1,1,1) is the most suitable model and predicts the beta of the listed telecommunications industry. From there, the author makes comments on the beta forecast results of technology and telecommunications companies to help investors limit equity risk.
10p
longtimenosee09
08-04-2024
5
2
Download
-
The research used statistical analysis methods, compared, and simulated the MIKE model, predicted the risk of salinity intrusion according to the scenarios RCP 4.5 and RCP 8.5 to assess the current situation of salinity intrusion and its impact on Go Cong Dong district and Tan Phu Dong district.
5p
visergey
02-04-2024
9
0
Download
-
Early prediction of ovarian cancer has not been given much attention, the application of combined models in clinical practice is not widespread, and the calculation of these models is still difficult due to the complexity and multiple variables.
8p
vioraclene
31-03-2024
3
1
Download
CHỦ ĐỀ BẠN MUỐN TÌM
![](images/graphics/blank.gif)