Results 61 to 70 of about 249,819 (266)

Neural-Semantic Prediction of Prenatal EPDS Subscale 3A Categories Using Socio-Demographic Features

IEEE Access
In this work we demonstrate the use of data-driven Machine learning approaches to predict prenatal anxiety. We rely on a large dataset of Edinburgh Postnatal Depression Scale (EPDS) scores compiled from women in 9 hospitals within Kampala, Uganda between
Mark Abraham Magumba, Hasifah Kasujja, Tonny Justus Oyana   +2 more
doaj   +1 more source

A New Metric for the Analysis of Swarms Using Potential Fields

IEEE Access, 2018
There are many metrics defined for the analysis of swarm coordination algorithms. These metrics are usually based upon the distances between agents, the distance between agents and a fixed point, or the resultant vectors that potential field effects ...
Neil Eliot, David Kendall, Michael Brockway   +2 more
doaj   +1 more source

Immunoglobulin Depletion and Recovery Following Blinatumomab in Infants With KMT2A‐Rearranged ALL

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Adding blinatumomab to standard chemotherapy for infants with KMT2A‐rearranged acute B‐cell lymphoblastic leukemia (KMT2A‐r B‐ALL) improves outcomes. Although blinatumomab impairs immunoglobulin G (lgG) production, increasing infection susceptibility, IgG recovery remains poorly understood.
Miguel Vieira Martins, Paola de Lorenzo, Rishi S. Kotecha, Andishe Attarbaschi, Gabriele Escherich, Karsten Nysom, Jan Stary, Alina Ferster, Benoit Brethon, Franco Locatelli, Martin Schrappe, Peggy E. Scholte‐van Houtem, Maria G. Valsecchi, Rob Pieters, Inge M. van der Sluis   +14 more
wiley   +1 more source

Concepts, Methods, and Performances of Particle Swarm Optimization, Backpropagation, and Neural Networks

Applied Computational Intelligence and Soft Computing, 2018
With the advancement of Machine Learning, since its beginning and over the last years, a special attention has been given to the Artificial Neural Network.
Leke Zajmi, Falah Y. H. Ahmed, Adam Amril Jaharadak   +2 more
doaj   +1 more source

Evaluating hospital websites in Kuwait to improve consumer engagement and access to health information: a cross-sectional analytical study

BMC Medical Informatics and Decision Making, 2018
Background Current advances in information and communication technology have made accessing and obtaining health-related information easier than ever before. Today, many hospital websites use a patient-centric approach to promote engagement and encourage
Dari Alhuwail, Zainab AlMeraj, Fatima Boujarwah   +2 more
doaj   +1 more source

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source

Applications and implicit assumptions in dementia risk scores: A scoping review of the LIBRA score

Journal of Alzheimer's Disease Reports
Dementia risk scores are commonly used tools to estimate the risk of developing Alzheimer's disease and dementia. We lack an overview of what risk scores are used for, what is claimed they ought to be used for, and whether they are suitable for these ...
Wouter MR Kant, Wieske K de Swart, Jim M Smit, Marco Loog, Jesse H Krijthe   +4 more
doaj   +1 more source

Enhanced Viral Genome Classification Using Large Language Models

Algorithms
The classification of genomic sequences is a crucial area of research in the field of virology. This is due to the increasing number of outbreaks we have faced in recent times.
Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain   +3 more
doaj   +1 more source

Computer/Information Science

Educational technology, 2013
Scholars representing the field of computer/information science were asked to identify what they considered to be the most exciting and imaginative work currently being done in their field , as well as how that work might change our understanding . The scholars included Ken Birman, Jennifer Rexford, Tim Roughgarden, Margo Seltzer, Jim Spohrer, and Erik
Birman, Ken, Rexford, Jennifer, Roughgarden, Tim, Seltzer, Margo, Spohrer, Jim, Stolterman, Erik, Kearsley, Greg, Koszalka, Tiffany, de Jong, Ton   +8 more
openaire   +1 more source

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel, Santiago Pérez‐Hoyos, Aroa Soriano, Ana Coma, Amalia Varo, Raquel Hladun, Gabriela Guillén, Soraya Mico, Marta Garrido, Lourdes Rubio, Alba Rubio‐San‐Simón, Ana Minguez, Ricardo López‐Almaraz, Laura Illade, Miguel F. Segura, Lucas Moreno   +15 more
wiley   +1 more source