Results 21 to 30 of about 4,436,251 (260)

Enhancing Genomic Prediction Accuracy of Reproduction Traits in Rongchang Pigs Through Machine Learning

Animals
The increasing volume of genome sequencing data presents challenges for traditional genome-wide prediction methods in handling large datasets. Machine learning (ML) techniques, which can process high-dimensional data, offer promising solutions.
Junge Wang, Jie Chai, Li Chen, Tinghuan Zhang, Xi Long, Shuqi Diao, Dong Chen, Zongyi Guo, Guoqing Tang, Pingxian Wu   +9 more
doaj   +1 more source

Reliability and validity in comparative studies of software prediction models [PDF]

, 2005
Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood.
I. Myrtveit, E. Stensrud, Myrtveit, I, Shepperd, MJ, Stensrud, E, M. Shepperd   +5 more
core   +2 more sources

A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR

Tehnički Glasnik
The prediction of cardiovascular disease gained immense significance in the medical field with the alignment of increasing focus on promoting healthier lifestyle.
Mounika Valasapalli, Nallagatla Raghavendra Sai   +1 more
doaj   +1 more source

Quantitative genetics theory for genomic selection and efficiency of breeding value prediction in open-pollinated populations

Scientia Agricola, 2016
To date, the quantitative genetics theory for genomic selection has focused mainly on the relationship between marker and additive variances assuming one marker and one quantitative trait locus (QTL).
José Marcelo Soriano Viana, Hans-Peter Piepho, Fabyano Fonseca e Silva   +2 more
doaj   +1 more source

Enhancing construction safety management through multivariable grey model analysis and variable selection optimization

Journal of Civil Engineering and Management
In this study, a multivariable grey model (GM(1, N)) is employed to explore how different combinations of variables impact the accuracy of construction accident prediction, using a full permutation algorithm.
Jian Liu, Ye He, Rui Feng, Qinlin Chu
doaj   +1 more source

Using Artificial Neural Network for Predicting and Evaluating Situation Awareness of Operator

IEEE Access, 2021
The decrease of situation awareness (SA) is one of reasons leading to human factor accidents in nuclear power plants. The main purpose of this paper is to the evaluation and prediction the operators’ SA in digital main control room.
Shengyuan Yan, Kai Yao, Cong Chi Tran
doaj   +1 more source

Modeling Spatio-Temporal Precipitation Patterns in East Kalimantan using Space-Time Kriging and Median Polish-Based Spatio-Temporal Kriging

JTAM (Jurnal Teori dan Aplikasi Matematika)
Precipitation variability presents significant challenges for disaster risk reduction and water resource management, particularly in flood and drought-prone regions such as East Kalimantan.
Friendtika Miftaqul Jannah, Rahma Fitriani, Henny Pramoedyo   +2 more
doaj   +1 more source

Genomic selection for resistance to spruce budworm in white spruce and relationships with growth and wood quality traits

Evolutionary Applications, 2020
With climate change, the pressure on tree breeding to provide varieties with improved resilience to biotic and abiotic stress is increasing. As such, pest resistance is of high priority but has been neglected in most tree breeding programs, given the ...
Jean Beaulieu, Simon Nadeau, Chen Ding, Jose M. Celedon, Aïda Azaiez, Carol Ritland, Jean‐Philippe Laverdière, Marie Deslauriers, Greg Adams, Michele Fullarton, Joerg Bohlmann, Patrick Lenz, Jean Bousquet   +12 more
doaj   +1 more source

Effects of the number of markers per haplotype and clustering of haplotypes on the accuracy of QTL mapping and prediction of genomic breeding values [PDF]

, 2009
The aim of this paper was to compare the effect of haplotype definition on the precision of QTL-mapping and on the accuracy of predicted genomic breeding values.
Veerkamp Roel F, Theo HE Meuwissen, Egbert F Knol, Addie LJ Vereijken, Calus Mario PL, Vereijken Addie LJ, Knol, E.F., Schrooten, C., Windig, J.J., Meuwissen Theo HE, Knol Egbert F, Calus, M.P.L., Vereijken, A.L.J., Roel F Veerkamp, Jack J Windig, Windig Jack J, Veerkamp, R.F., Chris Schrooten, Schrooten Chris, Meuwissen, T.H.E., Mario PL Calus   +20 more
core   +1 more source

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source