Results 41 to 50 of about 2,663,717 (282)

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

FairXGBoost: Fairness-aware Classification in XGBoost

CoRR, 2020
Highly regulated domains such as finance have long favoured the use of machine learning algorithms that are scalable, transparent, robust and yield better performance. One of the most prominent examples of such an algorithm is XGBoost. Meanwhile, there is also a growing interest in building fair and unbiased models in these regulated domains and ...
Srinivasan Ravichandran, Drona Khurana, Bharath Venkatesh, Narayanan Unny Edakunni   +3 more
openaire   +2 more sources

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

A resource aware MapReduce based parallel SVM for large scale image classification [PDF]

, 2015
Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords. Among them support vector machines (SVMs) are used extensively due to their generalization properties. However, SVM training is
Khalid, N., Qi, M., Liu, Y., Guo, W., Li, M.   +4 more
core  

Antibiotic Prescription Patterns in the Paediatric Primary Care Setting before and after the COVID-19 Pandemic in Italy: An Analysis Using the AWaRe Metrics

Antibiotics, 2022
The containment measures following COVID-19 pandemic drastically reduced airway infections, but they also limited the access of patients to healthcare services.
Elisa Barbieri, Cecilia Liberati, Anna Cantarutti, Costanza Di Chiara, Angela Lupattelli, Michael Sharland, Carlo Giaquinto, Yingfen Hsia, Daniele Doná   +8 more
doaj   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

Classification of adaptation measures and criteria for evaluation Case studies in the Indus River-Basin [PDF]

, 2017
This work was carried out by the Himalayan Adaptation, Water and Resilience (HI-AWARE) consortium under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA) with financial support from the UK Government’s Department for ...
Mahmood, Talha, Raza, Nelufar, Ishaq, Sultan, Ahmed Khan, Muneeb, Tahir Virk, Zeeshan, Kamran, Ali, Khalid Jamil, Muhammad, Doger, Salar Saeed, Mustafa, Naveed, Ahmad, Bashir, Hassan, Masooma   +10 more
core   +1 more source

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann, Maike Wellbrock, Javier Louro, Arndt Borkhardt, Martin Schrappe, Claudia Trübenbach, Desiree Grabow, Cécile M. Ronckers, Joachim Schüz   +8 more
wiley   +1 more source

Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification [PDF]

Big Data, 2017
30 pages, 3 ...
Brian d'Alessandro, Cathy O'Neil, Tom LaGatta   +2 more
openaire   +3 more sources

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

, 2021
Automatic medical image analysis (e.g., medical image classification) is widely used in the early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable accurate disease detection and treatment.
Fahami, Mohammad Amin, Nahavandi, Saeid, Abdar, Moloud, Acharya, U. Rajendra, Chakrabarti, Satarupa, Khosravi, Abbas, Tadeusiewicz, Ryszard, Pławiak, Paweł   +7 more
core   +1 more source