Results 51 to 60 of about 2,290,848 (276)

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Variational Bayesian Variable Selection for High-Dimensional Hidden Markov Models

Mathematics
The Hidden Markov Model (HMM) is a crucial probabilistic modeling technique for sequence data processing and statistical learning that has been extensively utilized in various engineering applications.
Yao Zhai, Wei Liu, Yunzhi Jin, Yanqing Zhang   +3 more
doaj   +1 more source

Parameter Learning of Logic Programs for Symbolic-Statistical Modeling

, 2011
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. definite clause programs containing probabilistic facts with a parameterized distribution.
Kameya, Y., Sato, T.
core   +2 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Machine Learning Mitigants for Speech Based Cyber Risk

IEEE Access, 2021
Statistical analysis of speech is an emerging area of machine learning. In this paper, we tackle the biometric challenge of Automatic Speaker Verification (ASV) of differentiating between samples generated by two distinct populations of utterances, those
Marta Campi, Gareth W. Peters, Nourddine Azzaoui, Tomoko Matsui   +3 more
doaj   +1 more source

Statistical modeling of ground motion relations for seismic hazard analysis

, 2013
We introduce a new approach for ground motion relations (GMR) in the probabilistic seismic hazard analysis (PSHA), being influenced by the extreme value theory of mathematical statistics. Therein, we understand a GMR as a random function.
B Efron, BV Gnedenko, CA Cornell, CB Crouse, CM Montgomery, D Enescu, D Giardini, D Stromeyer, DA Rhoades, DD Mari, DJ Dupuis, E Kalkan, F Scherbaum, FO Strasser, FO Strasser, GL Molas, GM Atkinson, GM Atkinson, GM Atkinson, J Beirlant, J Douglas, J Douglas, J Hüsler, JC Stepp, JG Anderson, JJ Bommer, JJ Bommer, JJ Bommer, K Beyer, K Campbell, K Sadigh, KW Campbell, L Al Atik, L Haan de, L Huyse, L Landry, LF Restrepo-Velez, M Falk, M Massa, M Raschke, M Raschke, M Raschke, M Raschke, M Sørensen, Mathias Raschke, MH Quenouille, MR Leadbetter, N Abrahamson, N Abrahamson, N Morikawa, NA Abrahamson, NA Abrahamson, NN Ambraseys, NN Ambraseys, NN Ambraseys, NN Ambraseys, P Billingsley, P Cosentino, P Spudich, PJ Stafford, PS Lin, RA Fisher, RK McGuire, RK McGuire, RL Smith, RR Youngs, S Castellaro, S Coles, T Chang, T Utsu, WB Joyner, WB Joyner, Y-H Chen, Z Kabluchko   +73 more
core   +1 more source

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration [PDF]

, 2019
A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited temporal frequency with which measurements of air pollutants ...
Berrocal, Veronica J., Chang, Howard H., Guan, Yawen, Mulholland, James A., Muyskens, Amanda, Reich, Brian J, Wang, Haoyu   +6 more
core   +2 more sources

Improved Outcomes for Older Children, Adolescents, and Young Adults With Neuroblastoma in the Post‐Immunotherapy Era: An Updated Report From the International Neuroblastoma Risk Group

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell, Kavitha Srivatsa, Paola Angelini, Pei‐Chi Kao, Brady Payne, Arlene Naranjo, Sveva Castelli, Miho Kato, Miki Ohira, Ulriche Pöetschger, Yaël Mossé, Lucas Moreno, Meredith S. Irwin, Ramya Ramanujachar, Wendy B. London   +14 more
wiley   +1 more source

Image Restoration Using Joint Statistical Modeling in Space-Transform Domain

, 2014
This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images in a unified statistical manner. The main contributions are three-folds.
Gao, Wen, Ma, Siwei, Xiong, Ruiqin, Zhang, Jian, Zhao, Debin   +4 more
core   +1 more source