 |
|
Machine Learning for Antibiotic Resistance Prediction: A Prototype Using Off-the-Shelf Techniques and Entry-Level Data to Guide Empiric Antimicrobial Therapy
Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Nikoletta Skarmoutsou, Maria Martsoukou, Constantinos Christopoulos, Malvina Lada, Stavroula Petropoulou, Aikaterini Velentza, Sophia Michelidou, Rea Chatzikyriakou, Evangelos Dimitrellos
Healthc Inform Res. 2021;27(3):214-221. Published online 2021 Jul 31 DOI: https://doi.org/10.4258/hir.2021.27.3.214
|
|
Citations to this article as recorded by
 Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy
Flavia Pennisi, Antonio Pinto, Giovanni Emanuele Ricciardi, Carlo Signorelli, Vincenza Gianfredi
European Journal of Clinical Microbiology & Infectious Diseases.2025;[Epub] CrossRef Artificial intelligence-driven approaches in antibiotic stewardship programs and optimizing prescription practices: A systematic review
Hamid Harandi, Maryam Shafaati, Mohammadreza Salehi, Mohammad Mahdi Roozbahani, Keyhan Mohammadi, Samaneh Akbarpour, Ramin Rahimnia, Gholamreza Hassanpour, Yasin Rahmani, Arash Seifi
Artificial Intelligence in Medicine.2025; 162: 103089. CrossRef Fraction of Genome Altered, Age, Microsatellite Instability Score, Tumor Mutational Burden, Cancer Type, Metastasis Status, and Choice of Cancer Therapy Predict Overall Survival in Multiple Machine Learning Models
Guillaume Mestrallet
Onco.2025; 5(1): 8. CrossRef Machine learning to predict antimicrobial resistance: future applications in clinical practice?
Yousra Kherabi, Michaël Thy, Donia Bouzid, David B. Antcliffe, Timothy Miles Rawson, Nathan Peiffer-Smadja
Infectious Diseases Now.2024; 54(3): 104864. CrossRef Desired clinical applications of artificial intelligence in emergency medicine: A Delphi study
Henry Li, Jake Hayward, Leandro Solis Aguilar, Jeffrey Michael Franc
The American Journal of Emergency Medicine.2024; 79: 217. CrossRef A Web-Based Dynamic Nomogram to Predict the Risk of Methicillin-Resistant Staphylococcal Infection in Patients with Pneumonia
Van Duong-Thi-Thanh, Binh Truong-Quang, Phu Tran-Nguyen-Trong, Mai Le-Phuong, Phu Truong-Thien, Dung Lam-Quoc, Thong Dang-Vu, Minh-Loi Nguyen, Vu Le-Thuong
Diagnostics.2024; 14(6): 633. CrossRef Brave New World of Artificial Intelligence: Its Use in Antimicrobial Stewardship—A Systematic Review
Rafaela Pinto-de-Sá, Bernardo Sousa-Pinto, Sofia Costa-de-Oliveira
Antibiotics.2024; 13(4): 307. CrossRef Tackling the Antimicrobial Resistance “Pandemic” with Machine Learning Tools: A Summary of Available Evidence
Doris Rusic, Marko Kumric, Ana Seselja Perisin, Dario Leskur, Josipa Bukic, Darko Modun, Marino Vilovic, Josip Vrdoljak, Dinko Martinovic, Marko Grahovac, Josko Bozic
Microorganisms.2024; 12(5): 842. CrossRef Implications of Artificial Intelligence in Addressing Antimicrobial Resistance: Innovations, Global Challenges, and Healthcare’s Future
Francesco Branda, Fabio Scarpa
Antibiotics.2024; 13(6): 502. CrossRef Affordable and real-time antimicrobial resistance prediction from multimodal electronic health records
Shahad Hardan, Mai A. Shaaban, Jehad Abdalla, Mohammad Yaqub
Scientific Reports.2024;[Epub] CrossRef From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
José M. Pérez de la Lastra, Samuel J. T. Wardell, Tarun Pal, Cesar de la Fuente-Nunez, Daniel Pletzer
Journal of Medical Systems.2024;[Epub] CrossRef Retrospective validation study of a machine learning-based software for empirical and organism-targeted antibiotic therapy selection
Maria Isabel Tejeda, Javier Fernández, Pablo Valledor, Cristina Almirall, José Barberán, Santiago Romero-Brufau, Pranita D. Tamma
Antimicrobial Agents and Chemotherapy.2024;[Epub] CrossRef Personalizing the empiric treatment of gonorrhea using machine learning models
Rachel E. Murray-Watson, Yonatan H. Grad, Sancta B. St. Cyr, Reza Yaesoubi, Dhiya Al-Jumeily O. B. E.
PLOS Digital Health.2024; 3(8): e0000549. CrossRef Antibiotic Resistance in the Elderly: Mechanisms, Risk Factors, and Solutions
Nikolaos Theodorakis, Georgios Feretzakis, Christos Hitas, Magdalini Kreouzi, Sofia Kalantzi, Aikaterini Spyridaki, Iris Zoe Boufeas, Aikaterini Sakagianni, Evgenia Paxinou, Vassilios S. Verykios, Maria Nikolaou
Microorganisms.2024; 12(10): 1978. CrossRef Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data
Raquel Urena, Sabine Camiade, Yasser Baalla, Martine Piarroux, Laurent Vouriot, Philippe Halfon, Jean Gaudart, Jean-Charles Dufour, Stanislas Rebaudet
Scientific Reports.2024;[Epub] CrossRef Immunosenescence: How Aging Increases Susceptibility to Bacterial Infections and Virulence Factors
Nikolaos Theodorakis, Georgios Feretzakis, Christos Hitas, Magdalini Kreouzi, Sofia Kalantzi, Aikaterini Spyridaki, Zoi Kollia, Vassilios S. Verykios, Maria Nikolaou
Microorganisms.2024; 12(10): 2052. CrossRef Using digital health technologies to optimise antimicrobial use globally
Timothy M Rawson, Nina Zhu, Ronald Galiwango, Derek Cocker, Mohammad Shahidul Islam, Ashleigh Myall, Vasin Vasikasin, Richard Wilson, Nusrat Shafiq, Shampa Das, Alison H Holmes
The Lancet Digital Health.2024; 6(12): e914. CrossRef The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review
Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Georgios Feretzakis, Dimitris Kalles, Evgenia Paxinou, Pavlos Myrianthefs, Vassilios S. Verykios
Antibiotics.2024; 13(10): 996. CrossRef Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions
Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis
Antibiotics.2024; 13(11): 1052. CrossRef Targeting bioinformatics tools to study the dissemination and spread of antibiotic resistant genes in the environment and clinical settings
Chandra Kant Singh, Kushneet Kaur Sodhi
Critical Reviews in Microbiology.2024; : 1. CrossRef Aprendizado de máquinas para predição de resistência microbiana
Sofia Clara Lage Rosa, Nathália Irffi Carvalho, Helena Duani
Journal of Health Informatics.2024;[Epub] CrossRef Artificial Intelligence Applications in Clinical Chemistry
Dustin R. Bunch, Thomas JS. Durant, Joseph W. Rudolf
Clinics in Laboratory Medicine.2023; 43(1): 47. CrossRef Using Machine Learning to Predict Antimicrobial Resistance―A Literature Review
Aikaterini Sakagianni, Christina Koufopoulou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Fildisis
Antibiotics.2023; 12(3): 452. CrossRef Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
V. Mahalakshmi, Awatef Balobaid, B. Kanisha, R. Sasirekha, M. Ramkumar Raja
Healthcare.2023; 11(6): 854. CrossRef Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
Giulia Caioni, Elisabetta Benedetti, Monia Perugini, Michele Amorena, Carmine Merola
Antibiotics.2023; 12(4): 724. CrossRef Addressing antibiotic resistance: computational answers to a biological problem?
Anna H Behling, Brooke C Wilson, Daniel Ho, Marko Virta, Justin M O’Sullivan, Tommi Vatanen
Current Opinion in Microbiology.2023; 74: 102305. CrossRef Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout
Leonardo Cañete-Sifuentes, Victor Robles, Ernestina Menasalvas, Raul Monroy
IEEE Access.2023; 11: 139147. CrossRef Facilitating Model Training With Automated Techniques
Bogdan-Eduard-Mădălin Mursa, Mátyás Kuti-Kreszács , Cristiana Moroz-Dubenco , Florentin Bota
Studia Universitatis Babeș-Bolyai Informatica.2023; 68(2): 53. CrossRef Bacterial keratitis: identifying the areas of clinical uncertainty
Stephen Tuft, Tobi F. Somerville, Ji-Peng Olivia Li, Timothy Neal, Surjo De, Malcolm J. Horsburgh, Joanne L. Fothergill, Daniel Foulkes, Stephen Kaye
Progress in Retinal and Eye Research.2022; 89: 101031. CrossRef Antimicrobial Resistance and Machine Learning: Challenges and Opportunities
Eyad Elyan, Amir Hussain, Aziz Sheikh, Abdelraouf A. Elmanama, Pattaramon Vuttipittayamongkol, Karolin Hijazi
IEEE Access.2022; 10: 31561. CrossRef Using machine learning techniques to predict antimicrobial resistance in stone disease patients
Lazaros Tzelves, Lazaros Lazarou, Georgios Feretzakis, Dimitris Kalles, Panagiotis Mourmouris, Evangelos Loupelis, Spyridon Basourakos, Marinos Berdempes, Ioannis Manolitsis, Iraklis Mitsogiannis, Andreas Skolarikos, Ioannis Varkarakis
World Journal of Urology.2022; 40(7): 1731. CrossRef Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates
Ali A. Rabaan, Saad Alhumaid, Abbas Al Mutair, Mohammed Garout, Yem Abulhamayel, Muhammad A. Halwani, Jeehan H. Alestad, Ali Al Bshabshe, Tarek Sulaiman, Meshal K. AlFonaisan, Tariq Almusawi, Hawra Albayat, Mohammed Alsaeed, Mubarak Alfaresi, Sultan Alota
Antibiotics.2022; 11(6): 784. CrossRef Searching for the urine osmolality surrogate: an automated machine learning approach
Deniz İlhan Topcu, Nilüfer Bayraktar
Clinical Chemistry and Laboratory Medicine (CCLM).2022; 60(12): 1911. CrossRef Machine learning, antimicrobial stewardship, and solid organ transplantation: Is this the future?
Yousra Kherabi, Jonathan Messika, Nathan Peiffer‐Smadja
Transplant Infectious Disease.2022;[Epub] CrossRef Machine learning in predicting antimicrobial resistance: a systematic review and meta-analysis
Rui Tang, Rui Luo, Shiwei Tang, Haoxin Song, Xiujuan Chen
International Journal of Antimicrobial Agents.2022; 60(5-6): 106684. CrossRef Microfluidics as a Novel Technique for Tuberculosis: From Diagnostics to Drug Discovery
Antonia Molloy, James Harrison, John S. McGrath, Zachary Owen, Clive Smith, Xin Liu, Xin Li, Jonathan A. G. Cox
Microorganisms.2021; 9(11): 2330. CrossRef
|