Results 61 to 70 of about 6,758,662 (333)

Using ontologies to enhance human understandability of global post-hoc explanations of black-box models

Artificial Intelligence, 2021
The interest in explainable artificial intelligence has grown strongly in recent years because of the need to convey safety and trust in the ‘how’ and ‘why’ of automated decision-making to users.
R. Confalonieri, Tillman Weyde, Tarek R. Besold, F. M. D. P. Martín   +3 more
semanticscholar   +1 more source

The Limits of Post-Selection Generalization [PDF]

, 2018
While statistics and machine learning offers numerous methods for ensuring generalization, these methods often fail in the presence of adaptivity---the common practice in which the choice of analysis depends on previous interactions with the same dataset.
Nissim, Kobbi, Smith, Adam, Steinke, Thomas, Stemmer, Uri, Ullman, Jonathan   +4 more
core  

Effects of Rivaroxaban on Biomarkers of Coagulation and Inflammation: A Post Hoc Analysis of the X-VeRT Trial. [PDF]

, 2020
Introduction  This X-VeRT (eXplore the efficacy and safety of once-daily oral riVaroxaban for the prevention of caRdiovascular events in patients with nonvalvular aTrial fibrillation scheduled for cardioversion) substudy evaluated the effects of ...
Camm, AJ, Cappato, R, Ezekowitz, MD, Hohnloser, SH, Kirchhof, P, Meng, IL, Purmah, Y, Schiffer, S, Schulz, A, Wosnitza, M   +9 more
core   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges, Kelly A. Duffy, Sara McDonough, Evelyn Kurpiewski, R. Jennifer Randall, Allison Barz Leahy, Haley M. Newman, Joyce P. Lee, Stephen P. Hunger, Anne F. Reilly, David T. Teachey, Susan R. Rheingold, Daniel J. Zheng   +12 more
wiley   +1 more source

Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

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

MethodsX, 2023
Explaining model decisions from medical image inputs is necessary for deploying deep neural network (DNN) based models as clinical decision assistants.
Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh   +3 more
doaj   +1 more source

The Lending-Limit Combination Rules: Regulation by Enforcement at the OCC [PDF]

, 2013
The regulation-by-enforcement critique has made an impact at the Securities and Exchange Commission, and scholars are beginning to turn this critique against other agencies.
Dreier, Douglas C.
core   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

Post hoc calibration of medical segmentation models

Discover 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, Thijs Becker, Simon Appeltans, Matthew Blaschko, Dirk Valkenborg   +4 more
doaj   +1 more source

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

BMC 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, Kitty Lo, Thomas A. Geddes, Hani Jieun Kim, Jean Yee Hwa Yang, Pengyi Yang   +5 more
doaj   +1 more source