OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Development of an artificial intelligence bacteremia prediction model and evaluation of its impact on physician predictions focusing on uncertainty
Dong Hyun Choi, Min Hyuk Lim, Ki Hong Kim, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Dong Hyun Choi, Min Hyuk Lim, Ki Hong Kim, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
Utility of shaking chills as a diagnostic sign for bacteremia in adults: a systematic review and meta-analysis
Tetsuro Aita, Hiroaki Nakagawa, Sei Takahashi, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 3
Tetsuro Aita, Hiroaki Nakagawa, Sei Takahashi, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 3
Using Large Language Models to Extract Core Injury Information From Emergency Department Notes
Dong Hyun Choi, Yoonjic Kim, Sae Won Choi, et al.
Journal of Korean Medical Science (2024) Vol. 39, Iss. 46
Open Access | Times Cited: 3
Dong Hyun Choi, Yoonjic Kim, Sae Won Choi, et al.
Journal of Korean Medical Science (2024) Vol. 39, Iss. 46
Open Access | Times Cited: 3
Combination of machine learning algorithms with natural language processing may increase the probability of bacteremia detection in the emergency department: A retrospective, big-data analysis of 94,482 patients
Gal Ben-Haim, Mika Yosef, Eyade Rowand, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Gal Ben-Haim, Mika Yosef, Eyade Rowand, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Advancing Bloodstream Infection Prediction Using Explanable Artificial Intelligence Framework
Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000506-e0000506
Open Access | Times Cited: 1
Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000506-e0000506
Open Access | Times Cited: 1
Recent Advancements in Machine Learning-Based Bloodstream Infection Prediction: A Systematic Review and Meta-analysis of Diagnostic Test Accuracy
Rajeev Bopche, Jan Kristian Damås
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Rajeev Bopche, Jan Kristian Damås
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
Ortal Hirszowicz, Dvir Aran
Lecture notes in computer science (2024), pp. 279-292
Closed Access
Ortal Hirszowicz, Dvir Aran
Lecture notes in computer science (2024), pp. 279-292
Closed Access
