Results 21 to 30 of about 897,087 (262)

Post hoc, propter hoc? Counterfactuals, placebos, and spillovers in evaluating a local mobility policy

open access: yesInternational Review of Public Policy
Policy reforms are often unique, in the sense that it is hard to find comparable changes and circumstances that would make it possible to clearly identify their net consequences and thus unambiguously support causality attributions.
Marco Giuliani
doaj   +1 more source

Generating post-hoc explanation from deep neural networks for multi-modal medical image analysis tasks

open access: yesMethodsX, 2023
Explaining model decisions from medical image inputs is necessary for deploying deep neural network (DNN) based models as clinical decision assistants.
Weina Jin   +3 more
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga   +56 more
wiley   +1 more source

On the use of post-hoc tests in environmental and biological sciences: A critical review

open access: yesHeliyon
Post-hoc comparison procedures are commonly used to determine which group means differ after a significant analysis of variance (ANOVA). Several post-hoc tests have been proposed, but their use requires certain assumptions to be met, such as normality ...
Codjo Emile Agbangba   +3 more
doaj   +1 more source

On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition

open access: yesSensors, 2022
This work proposes a novel unsupervised self-organizing network, called the Self-Organizing Convolutional Echo State Network (SO-ConvESN), for learning node centroids and interconnectivity maps compatible with the deterministic initialization of Echo ...
Gin Chong Lee, Chu Kiong Loo
doaj   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis   +13 more
wiley   +1 more source

scReClassify: post hoc cell type classification of single-cell rNA-seq data

open access: yesBMC Genomics, 2019
Background Single-cell RNA-sequencing (scRNA-seq) is a fast emerging technology allowing global transcriptome profiling on the single cell level.
Taiyun Kim   +5 more
doaj   +1 more source

Accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning

open access: yesScientific Reports, 2022
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning. We developed a dynamic graph convolutional neural network (DGCNN)-based algorithm for automatic tooth segmentation and ...
Joon Im   +7 more
doaj   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura   +5 more
wiley   +1 more source

Post hoc calibration of medical segmentation models

open access: yesDiscover Applied Sciences
Background and objective Deep neural networks have become state-of-the-art in medical image segmentation. However, the calibration of these models is an often overlooked aspect of the model’s performance, even though calibrated outputs communicate an ...
Axel-Jan Rousseau   +4 more
doaj   +1 more source

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