Results 121 to 130 of about 872,279 (317)

Optimal prediction under asymmetric loss [PDF]

Prediction problems involving asymmetric loss functions arise routinely in many fields, yet the theory of optimal prediction under asymmetric loss is not well developed.
Francis X. Diebold, Peter F. Christoffersen   +1 more
core  

Prediction accuracy.

, 2019
Prediction accuracy.
Khalid M. Hosny (6598097), Fathy A. Amer (6598106), Walid I. Khedr (6598103), Marwa M. Khashaba (6598100)   +3 more
core   +1 more source

Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach [PDF]

, 2008
Background: The prediction of the genetic disease risk of an individual is a powerful public health tool. While predicting risk has been successful in diseases which follow simple Mendelian inheritance, it has proven challenging in complex diseases for ...
Daetwyler, Hans D., Daetwyler Hans D., Villanueva, Beatriz, Daetwyler, HD, Woolliams, John A., Hans D Daetwyler, John A Woolliams, Villanueva Beatriz, Daetwyler, H.D., Woolliams John A., Woolliams, JA, Villanueva, B., Beatriz Villanueva, Villanueva, B, Woolliams, J.A.   +14 more
core   +1 more source

Clinical Validation of Plasma p‐217tau in Neurological Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐217tau is a minimally invasive but specific biomarker for diagnosing Alzheimer's disease (AD). However, its disease specificity remains to be clinically evaluated. We validated the reliability of the p‐217tau biomarker in 12 other neurological diseases.
Takeshi Kawarabayashi, Takumi Nakamura, Ryoma Takahashi, Tetsuya Ueda, Seiji Kinoshita, Chikage Uchida, Takashi Sugawara, Kentaro Hashimoto, Kunihiko Ishizawa, Masakuni Amari, Hiroo Kasahara, Yoshio Ikeda, Masamitsu Takatama, Mikio Shoji   +13 more
wiley   +1 more source

Predicting the Trends of the Egyptian Stock Market Using Machine Learning and Deep Learning Methods

Computational Journal of Mathematical and Statistical Sciences
The prediction of stock price movements has remained a significant area of interest for researchers and investors, driven by the dynamic nature of financial markets and persistent economic fluctuations.
Heba Elsegai, Hanem Salah Al-Mutawaly, Hisham M Almongy   +2 more
doaj   +1 more source

Accuracy of a Computer Software in Short Term Growth Prediction

, 2006
In this research, it was aimed to evaluate the reliability of “Vistadent Image Management System (VIMS)” computer program in the usage of two year short-term growth prediction for various skeletal malocclusions, comparatively.
İlter Uzel, Mustafa Kayalıoğlu, Önder Kızıldağ, M. Serdar Toroğlu   +3 more
core   +1 more source

Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce, Goknur Selen Kocak, José Verdú‐Díaz, Jorge Alonso‐Pérez, Kristl G. Claeys, Tanya Stojkovic, Gorka Fernández‐Eulate, Pascal Laforêt, Najoua Miladi, Filipe Di Pace, Cristiane Araujo Martins Moreno, Edmar Zanoteli, Conrad C. Weihl, Volker Straub, Ana Töpf, Jordi Díaz‐Manera, Sarcoglycan European Cohort Consortium, Adele D′Amico, Adolfo López de Munain, Alicia Alonso‐Jiménez, Ana Camacho‐Salas, Andrea Gangfuß, Andrés Nascimento, Anna Sarkozy, Anneke J. van der Kooi, Arturo Fraga‐Bau, Béla Melegh, Benedikt Schoser, Bjarne Udd, Blaz Koritnik, Carlos Ortez, Chiara Marini Bettolo, Chiara Panicucci, Claudia Weiss, Claudio Bruno, Claudio Semplicini, Cristina Dominguez‐González, Cristina Garrido, David Gómez‐Andrés, Edoardo Malfatti, Elena Pegoraro, Elke De Vos, Francina Munell, Gabriele Dekomien, Giacomo Pietro Comi, Giorgio Tasca, Isabelle Richard, Jan L. De Bleecker, Jana Haberlová, Jesper Helbo Storgaard, Johanna Palmio, John Vissing, Juan Carlos de Leon‐Hernández, Kinga Hadzsiev, Laura Costa‐Comellas, Lea Leonardis, Leroy ten Dam, Lidia González‐Quereda, Luca Bello, Luisa Politano, Manuela Santos, Marianne de Visser, Marie Rohlenová, Matteo Garibaldi, Michela Guglieri, Nicolas Deconinck, Nicoline Løkken, Omar Abdel‐Mannan, Pia Gallano, Roberto Fernández‐Torrón, Ulrike Schara‐Schmidt, Vincenzo Nigro, Vittoria Zangaro   +72 more
wiley   +1 more source

Genomic selection for resistance to one pathogenic strain of Vibrio splendidus in blue mussel Mytilus edulis

Frontiers in Genetics
IntroductionThe blue mussel is one of the major aquaculture species worldwide. In France, this species faces a significant threat from infectious disease outbreaks in both mussel farms and the natural environment over the past decade.
Munusamy Ajithkumar, Jonathan D’Ambrosio, Marie-Agnès Travers, Romain Morvezen, Lionel Degremont   +4 more
doaj   +1 more source

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao, Rong Li, Yu‐Xiang Jiao, Kai Ma, Hong‐Qi Yang, Zheng‐Yu Sun, Jie‐Wen Zhang, Shuai Chen   +7 more
wiley   +1 more source

How to get the most out of phylogenetic imputation without abusing it

Methods in Ecology and Evolution
Phylogenies are viewed as potentially powerful resources to predict missing values in trait datasets, but they are often misused. Critically, many of the imputed values that completely or partially rely on phylogenetic information are trusted without ...
Rafael Molina‐Venegas
doaj   +1 more source