Results 71 to 80 of about 10,572,234 (361)

Deep learning for time series classification: a review [PDF]

Data mining and knowledge discovery, 2018
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been proposed.
Hassan Ismail Fawaz, G. Forestier, J. Weber, L. Idoumghar, Pierre-Alain Muller   +4 more
semanticscholar   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li, Raquel Revuelta Iniesta, Alan R. Barker, Dimitris Vlachopoulos, Tomáš Sláma, Christina Schindera, Fabiën N. Belle   +6 more
wiley   +1 more source

Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing

Journal of Marine Science and Engineering
This study presents an optimized system for ship route planning. Computational fluid dynamics simulations were used to modify Kwon’s semi-empirical speed loss estimation method, enabling efficient route planning under variable sea conditions.
Chih-Wen Cheng, Yu-An Tzeng, Ming-Hsiung Chang, Shang-Chi Liu, Ho-King Cheung, Ching-Yeh Hsin   +5 more
doaj   +1 more source

Erythroleukemia: Classification

eJHaem, 2023
AbstractAcute erythroid leukemia (AEL) is a rare (2%–5%) form of acute myeloid leukemia (AML). Molecular alterations found in AEL resemble those of other AMLs. We report a classification of AELs in three major classes, with different prognosis and some specific features such as a tendency to mutual exclusion of mutations in epigenetic regulators and ...
Nathalie Cervera, Arnaud Guille, José Adélaïde, Marie‐Anne Hospital, Sylvain Garciaz, Marie‐Joelle Mozziconacci, Norbert Vey, Véronique Gelsi‐Boyer, Daniel Birnbaum   +8 more
openaire   +3 more sources

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

Construindo a Classificação Internacional de Cuidados Primários, versão 3

Revista Portuguesa de Medicina Geral e Familiar, 2014
Construindo a Classificação Internacional de Cuidados Primários, versão ...
Michael Klinkman, Daniel Pinto
doaj   +1 more source

ENO2 Promotes Colorectal Cancer Metastasis by Interacting with the LncRNA CYTOR and Activating YAP1-Induced EMT

Cells, 2022
The glycolytic enzyme enolase 2 (ENO2) is dysregulated in many types of cancer. However, the roles and detailed molecular mechanism of ENO2 in colorectal cancer (CRC) metastasis remain unclear.
Chunwei Lv, Hongfei Yu, Keyi Wang, Chaoyi Chen, Jinlong Tang, Fengyan Han, Minglang Mai, Kehong Ye, Maode Lai, Honghe Zhang   +9 more
doaj   +1 more source

Review of Image Classification Algorithms Based on Convolutional Neural Networks [PDF]

, 2021
Leiyu Chen, Shaobo Li, Qiang Bai, Jing Yang, Sanlong Jiang, Yanming Miao   +5 more
openalex   +1 more source

Diagnosis and Classification of Diabetes Mellitus

Diabetes Care, 2011
DEFINITION AND DESCRIPTION OF DIABETES MELLITUS — Diabetes is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or both. The chronic hyperglycemia of diabetes is associated with long-
V. Basevi
semanticscholar   +1 more source

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