Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Marek J. Druzdzel"'
Autor:
Danial Hooshyar, Marek J. Druzdzel
Publikováno v:
Education Sciences, Vol 14, Iss 8, p 917 (2024)
Artificial intelligence (AI) has demonstrated significant potential in addressing educational challenges in digital learning. Despite this potential, there are still concerns about the interpretability and trustworthiness of AI methods. Dynamic Bayes
Externí odkaz:
https://doaj.org/article/b98fb712bae848f4b7aed136c1f91030
Autor:
Sanya B. Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Malaria is a major cause of death in children under five years old in low- and middle-income countries such as Malawi. Accurate diagnosis and management of malaria can help reduce the global burden of childhood morbidity and morta
Externí odkaz:
https://doaj.org/article/0f9380f5242a41479a7b6ec1eb10f357
Publikováno v:
Environmental Health, Vol 18, Iss 1, Pp 1-12 (2019)
Abstract Conventional environmental-health risk-assessment methods are often limited in their ability to account for uncertainty in contaminant exposure, chemical toxicity and resulting human health risk. Exposure levels and toxicity are both subject
Externí odkaz:
https://doaj.org/article/bd5af5bb184d4204b797f4718f1b00ca
Autor:
Emma B. Camus, Jonathan R. Rhodes, Clive A. McAlpine, Daniel Lunney, John Callaghan, Ross Goldingay, Angie Brace, Murray Hall, Scott Benitez Hetherington, Marama Hopkins, Marek J. Druzdzel, Helen J. Mayfield
Publikováno v:
Wildlife Research.
Publikováno v:
Value in Health. 22:439-445
Objective The fields of medicine and public health are undergoing a data revolution. An increasing availability of data has brought about a growing interest in machine-learning algorithms. Our objective is to present the reader with an introduction t
Autor:
Gerald P. Douglas, Gregory F. Cooper, Sanya Bathla Taneja, Shyam Visweswaran, Marek J. Druzdzel, Marian G. Michaels
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-13 (2021)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Malaria is a major cause of death in children under five years old in low- and middle-income countries such as Malawi. Accurate diagnosis and management of malaria can help reduce the global burden of childhood morbidity and mortality. Tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d78822d007c759932099bfcbb0c03f53
https://doi.org/10.21203/rs.3.rs-60209/v2
https://doi.org/10.21203/rs.3.rs-60209/v2
Publikováno v:
Diagnostic Cytopathology. 47:41-47
Background In the era of extensive data collection, there is a growing need for a large scale data analysis with tools that can handle many variables in one modeling framework. In this article, we present our recent applications of Bayesian network m
Autor:
Dara Sakolsky, Rinad S. Beidas, Charles B. Bennett, Damion J. Grasso, Marek J. Druzdzel, Oliver Lindhiem
Publikováno v:
Cogn Behav Pract
In this practical application, we describe the steps to build a decision-support tool using GeNIe 2.1 software. The method incorporates principles of decision analyses and allows for a systematic strategy to balance treatment efficacy data with patie
Publikováno v:
Comput Econ
We describe a performance budget planning model developed for a research university, comprised of a set of 88 key variables and 38 non-linear structural equations that describe interactions among them. These equations, based on the knowledge of resea
Autor:
Andreas Dietz, Marcin Kozniewski, Matthaeus Stoehr, Marek J. Druzdzel, Leonard Berliner, Heinz U. Lemke, Mario A. Cypko
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 12:1959-1970
Oncological treatment is being increasingly complex, and therefore, decision making in multidisciplinary teams is becoming the key activity in the clinical pathways. The increased complexity is related to the number and variability of possible treatm