Results 121 to 130 of about 168,400,762 (297)

Agricultural Risk Modeling Challenges in China: Probabilistic Modeling of Rice Losses in Hunan Province

, 2015
This article summarizes a joint research project undertaken under the Risk Management Solutions, Inc. (RMS) banner to investigate some of the possible approaches for agricultural risk modeling in China.
Mortgat, Christian P., Ming Wang, Shuangcai Li, Weimin Dong, Christian P. Mortgat, Stojanovski, Pane, Li, Shuangcai, Tao Ye, Dong, Weimin, Ye, Tao, Pane Stojanovski, Wang, Ming   +11 more
core   +1 more source

Credit risk prediction with and without weights of evidence using quantitative learning models

Cogent Economics & Finance
The credit risk assessment process is necessary for maintaining financial stability, cost and time efficiency, model performance accuracy, comparability analysis and future business implications in the commercial banking sector.
Modisane B. Seitshiro, Seshni Govender
doaj   +1 more source

Utilization of artificial intelligence approach for prediction of DLP values for abdominal CT scans: A high accuracy estimation for risk assessment. [PDF]

Front Public Health, 2022
Tekin HO, Almisned F, Erguzel TT, Abuzaid MM, Elshami W, Ene A, Issa SAM, Zakaly HMH.   +7 more
europepmc   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Incorporating prediction and estimation risk in point-in-time credit portfolio models [PDF]

In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted
Wildenauer, Nicole, Knapp, Michael, Hamerle, Alfred, Liebig, Thilo   +3 more
core  

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Robustness analysis and convergence of empirical finite-time ruin probabilities and estimation risk solvency margin. [PDF]

We consider the classical risk model and carry out a sensitivity and robustness analysis of finite-time ruin probabilities. We provide algorithms to compute the related influence functions.
Stéphane Loisel, Christian Mazza, Didier Rullière   +2 more
core  

Uveal Melanoma in BAP1 Tumor Predisposition Syndrome: Estimation of Risk. [PDF]

Am J Ophthalmol, 2021
Singh N, Singh R, Bowen RC, Abdel-Rahman MH, Singh AD.   +4 more
europepmc   +1 more source

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

Model Averaging Software for Dichotomous Dose Response Risk Estimation [PDF]

Model averaging has been shown to be a useful method for incorporating model uncertainty in quantitative risk estimation. In certain circumstances this technique is computationally complex, requiring sophisticated software to carry out the computation ...
A. John Bailer, Matthew W. Wheeler
core