Results 41 to 50 of about 64,893 (276)

Dependable modulation classifier explainer with measurable explainability

Frontiers in Big Data, 2023
The Internet of Things (IoT) plays a significant role in building smart cities worldwide. Smart cities use IoT devices to collect and analyze data to provide better services and solutions. These IoT devices are heavily dependent on the network for communication.
Gaurav Duggal, Tejas Gaikwad, Bhupendra Sinha   +2 more
openaire   +3 more sources

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee, Holly Evans, Claire E. Wakefield, Antoinette Anazodo, Richard J. Cohn, Brittany C. McGill, Elizabeth A. Lobb, Lori Wiener, Madeleine L. Juhrmann, Ursula M. Sansom‐Daly   +9 more
wiley   +1 more source

Explainable AI as evidence of fair decisions

Frontiers in Psychology, 2023
This paper will propose that explanations are valuable to those impacted by a model's decisions (model patients) to the extent that they provide evidence that a past adverse decision was unfair.
Derek Leben
doaj   +1 more source

Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek, Lori Wiener, Stephanie Veldhuijzen van Zanten, Donna Johnston, Fyeza Hasan, Adam Rapoport, Nathasha Datoo, Kimberley Widger, Sumit Gupta, Karen Fergus, Anthony K. C. Chan, Alisha Kassam, Emily McCullogh, Dave Lysecki   +13 more
wiley   +1 more source

Approach or avoidance? Relationship between perceived AI explainability and employee job crafting

Acta Psychologica
Amid growing concerns about the lack of transparency in algorithms, heightened focus has been placed on artificial intelligence (AI) explainability in workplace decision-making processes.
Weiwei Huo, Jiaying Xie, Jiaqi Yan, Tianyi Long, Bingqian Liang   +4 more
doaj   +1 more source

Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning

Frontiers in Artificial Intelligence, 2022
Artificial intelligence and machine learning techniques have proved fertile methods for attacking difficult problems in medicine and public health. These techniques have garnered strong interest for the analysis of the large, multi-domain open science ...
Nina de Lacy, Michael J. Ramshaw, J. Nathan Kutz   +2 more
doaj   +1 more source

Ethnic Differences in the Association Between SOD2 rs4880 and Hepatotoxicity in Pediatric Acute Lymphoblastic Leukemia: A Report From the REDIAL Consortium

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Treatment‐associated hepatotoxicity (TAH) is a common complication of pediatric acute lymphoblastic leukemia (ALL) treatment, but genetic risk factors remain poorly understood. We evaluated the SOD2 rs4880 variant in 544 children with ALL at Texas Children's Hospital. After adjusting for demographic and clinical covariates, the rs4880 C allele
Emily J. Mason, John P. Woodhouse, Joanna S. Yi, M. Monica Gramatges, Olga A. Taylor, Veronica A. Morales, Shalini Dhamodharan, Marley Roberts, Karen R. Rabin, Philip J. Lupo, Michael E. Scheurer, Van Huynh, Steven D. Mittelman, Etan Orgel, Austin L. Brown   +14 more
wiley   +1 more source

DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging

IEEE Access, 2021
Osteoarthritis (OA) is a degenerative joint disease, which significantly affects middle-aged and elderly people. Although primarily identified via hyaline cartilage change based on medical images, technical bottlenecks like noise, artifacts, and modality
Md. Rezaul Karim, Jiao Jiao, Till Dohmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker   +6 more
doaj   +1 more source

Infection Control Practices for Vascular Access Management in Hemodialysis: Results From a Nationwide Survey of Japanese National University Hospitals

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada, Makoto Harada, Tadahiko Kikugawa, Takeshi Nakata, Koji Hashimoto, Tsuneo Konta, Yuji Kamijo   +6 more
wiley   +1 more source

Explainable analysis of infrared and visible light image fusion based on deep learning

Scientific Reports
Explainability is a very active area of research in machine learning and image processing. This paper aims to investigate the explainability of visible light and infrared image fusion technology in order to enhance the credibility of model understanding ...
Bo Yuan, Hongyu Sun, YinJing Guo, Qiang Liu, Xinghao Zhan   +4 more
doaj   +1 more source