Results 31 to 40 of about 98,319 (259)
Improving the accuracy of medical diagnosis with causal machine learning
In medical diagnosis a doctor aims to explain a patient’s symptoms by determining the diseases causing them, while existing diagnostic algorithms are purely associative.
Jonathan G. Richens +2 more
doaj +1 more source
Statistical Methods for Targeted Clinical Trials under Enrichment Design
After completion of the Human Genome Project, disease targets at the molecular level can be identified. Treatment for these specific targets can be developed with the individualized treatment of patients becoming a reality.
Jen-Pei Liu, Jr-Rung Lin
doaj +1 more source
BackgroundAssigning meaningful probabilities of SARS-CoV-2 infection risk presents a diagnostic challenge across the continuum of care. ObjectiveThe aim of this study was to develop and clinically validate an adaptable, personalized ...
D'Ambrosia, Christopher +2 more
doaj +1 more source
Simultaneous inference for factorial multireader diagnostic trials
We study inference methods for the analysis of multireader diagnostic trials. In these studies, data are usually collected in terms of a factorial design involving the factors Modality and Reader. Furthermore, repeated measures appear in a natural way since the same patient is observed under different modalities by several readers and the repeated ...
Frank Konietschke +2 more
openaire +4 more sources
Bayesian inference using JET’s microwave diagnostic system [PDF]
At the JET tokamak, three electron cyclotron emission (ECE) diagnostics (two Martin-Puplett interferometers and a heterodyne radiometer) and a reflectometer form the basic microwave diagnostic system. The standard analysis approaches deduce electron density and temperature profiles independently of each diagnostic measurement.
S. Schmuck +4 more
openaire +4 more sources
Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases
A generalized Bayesian inference nets model (GBINM) is proposed to aid researchers to construct Bayesian inference nets for various applications. The benefit of such a model is well demonstrated by applying GBINM in constructing a hierarchical Bayesian ...
Sekar Booma Devi +2 more
doaj +1 more source
Nonparametric predictive inference for comparison of two diagnostic tests [PDF]
An important aim in diagnostic medical research is comparison of the accuracy of two diagnostic tests.
Alabdulhadi, M. +2 more
openaire +2 more sources
Active Learning for Repairable Hardware Systems With Partial Coverage
Identifying the optimal diagnostic test and hardware system instance to infer reliability characteristics using field data is challenging, particularly when constrained by fixed budgets and minimal maintenance cycles.
Michael L. Potter +3 more
doaj +1 more source
DECLARE: A Comprehensive, Multifaceted Cognitive Forcing Strategy to Confront Complex Cases
Taro Shimizu Department of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Mibu, Tochigi, JapanCorrespondence: Taro Shimizu, Department of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Dokkyo Medical ...
Shimizu T
doaj
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source

