Accès ouvert
2025
article
OpenAlex
Shoham Baruch, Maya Diamant, Yoav Ganzach, Zachi Grossman et autres
BACKGROUND: Antimicrobial resistance poses challenges for physicians, who must balance individual patient care and public health when prescribing antibiotics. Machine learning-based computerized decision support systems (ML-CDSS) are increasingly proposed to aid in this challenge. We aimed to assess physicians' decision-making in a …
il
(code pays fourni par la source)
2024
article
OpenAlex
Maya Diamant, Uri Obolski
il
(code pays fourni par la source)
Accès ouvert
2023
preprint
OpenAlex
Maya Diamant, Uri Obolski
Abstract Physicians prescribe empiric antibiotic treatment when definitive knowledge of the pathogen causing an infection is lacking. The options of empiric treatment can be largely divided into broad- and narrow-spectrum antibiotics. Prescribing a broad-spectrum antibiotic increases the chances of covering the causative …
il
(code pays fourni par la source)
Accès ouvert
2021
article
OpenAlex
Maya Diamant, Shoham Baruch, Eias Kassem, Khitam Muhsen et autres
The overuse of antibiotics is exacerbating the antibiotic resistance crisis. Since this problem is a classic common-goods dilemma, it naturally lends itself to a game-theoretic analysis. Hence, we designed a model wherein physicians weigh whether antibiotics should be prescribed, given that antibiotic …
il, us
(code pays fourni par la source)
Accès ouvert
2020
preprint
OpenAlex
Maya Diamant, Shoham Baruch, Eias Kassem, Khitam Muhsen et autres
Abstract The overuse of antibiotics is exacerbating the antibiotic resistance crisis. Since this problem is a classic common-goods dilemma, it naturally lends itself to a game-theoretic analysis. Hence, we designed a model wherein physicians weigh whether antibiotics should be prescribed, given that …
il
(code pays fourni par la source)