Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
BMC Medical Informatics and Decision Making|November 24, 2022
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methodsAli Ebrahimi, Uffe Kock Wiil, Amin Naemi, et al.
Studies in Health Technology and Informatics|May 27, 2021
Deep Neural Network to Identify Patients with Alcohol Use DisorderAli Ebrahimi, Uffe Kock Wiil, Marjan Mansourvar, et al.
BMJ Open|November 3, 2021
Machine learning techniques for mortality prediction in emergency departments: a systematic reviewAmin Naemi, Thomas Schmidt, Marjan Mansourvar, et al.
Scientific Reports|December 31, 2024
Predicting patients' sentiments about medications using artificial intelligence techniquesAmir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
Anesthesiology and Pain Medicine|November 14, 2013
Intravenous paracetamol for postoperative analgesia in laparoscopic cholecystectomySayed Mohamadreza Gousheh, Sholeh Nesioonpour, Fatemeh Javaher Foroosh, et al.
Scientific Reports|January 29, 2024
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniquesSamin Babaei Rikan, Amir Sorayaie Azar, Amin Naemi, et al.
BMC Infectious Diseases|June 27, 2023
Monkeypox detection using deep neural networksAmir Sorayaie Azar, Amin Naemi, Samin Babaei Rikan, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 4, 2025
Long-term history of continental weathering and particle transport to the seaDon E Canfield, Shuichang Zhang, Ross N Mitchell, et al.
Studies in Health Technology and Informatics|May 23, 2026
Explainable Multitask Transformers for Early Detection of Smoking Behaviors and Lung Cancer Symptoms from Danish Electronic Health RecordsAmir Sorayaie Azar, Uffe Kock Wiil, Margrethe Bang Høstgaard Henriksen, et al.
BMC Medical Informatics and Decision Making|December 30, 2022
Application of machine learning techniques for predicting survival in ovarian cancerAmir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
Pageof 3