Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study

Autor: Ori Ben Yehuda, Edward Itelman, Adva Vaisman, Gad Segal, Boaz Lerner

Publikováno v: Journal of Medical Internet Research, Vol 26, p e48595 (2024)

BackgroundUnder- or late identification of pulmonary embolism (PE)—a thrombosis of 1 or more pulmonary arteries that seriously threatens patients’ lives—is a major challenge confronting modern medicine. ObjectiveWe aimed to establish accurate

Externí odkaz: https://doaj.org/article/ea8e7b736ddf47da87b12c2a93a1c8ab

Engaging patients in identifying risk factors for ALS

Autor: Aviad E. Raz, Iris Schneid, Efrat Carmi, Ofir Kedem, Boaz Lerner

Publikováno v: SSM: Qualitative Research in Health, Vol 2, Iss , Pp 100179- (2022)

While policy-driven discourses promote patient engagement in research, its practice is severely limited. Drawing on participant observations and interviews conducted in 2021, we describe a process of research collaboration with amyotrophic lateral sc

Externí odkaz: https://doaj.org/article/084169eee5704dcc9dfc2088a08aa62e

SIGN: Statistical Inference Graphs based on probabilistic Network activity interpretation

Autor: Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar Hillel

Publikováno v: IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-15

Convolutional neural networks (CNNs) have achieved superior accuracy in many visual-related tasks. However, the inference process through a CNN's intermediate layers is opaque, making it difficult to interpret such networks or develop trust in their

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec767e35ad510d2b0f76e874c8a499cf
https://doi.org/10.1109/tpami.2022.3181472

Mapping of Social Functions in a Smart City When Considering Sparse Knowledge

Autor: Oded Zinman, Boaz Lerner

Publikováno v: Ubiquitous and Pervasive Computing-New Trends and Opportunities
Ubiquitous and Pervasive Computing-New Trends and Opportunities ISBN: 9781803563893

In recent years, technological advances, specifically new sensing and communication technologies, have brought new opportunities for a less expensive, dynamic, and more accurate mapping of social land use in cities. However, most research has feature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e56f8b43a6e071de8ee3ccb2814d7f97
https://mts.intechopen.com/articles/show/title/mapping-of-social-functions-in-a-smart-city-when-considering-sparse-knowledge

Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier

Autor: Boaz Lerner, Maydan Wienreb, Dan Halbersberg

Publikováno v: Machine Learning. 109:1039-1099

Although recent studies have shown that a Bayesian network classifier (BNC) that maximizes the classification accuracy (i.e., minimizes the 0/1 loss function) is a powerful tool in both knowledge representation and classification, this classifier: (1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b849dfb25693d7c49562a99e5222b7a
https://doi.org/10.1007/s10994-020-05869-5