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Artificial Intelligence in Medicine|December 3, 2022
Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments interventionAmir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh
Artificial Intelligence in Medicine|December 3, 2022
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray imagesHatice Catal Reis, Veysel Turk
Artificial Intelligence in Medicine|December 3, 2022
A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemiaSamer Muthana Sarsam, Hosam Al-Samarraie, Ahmed Ibrahim Alzahrani, et al.
Artificial Intelligence in Medicine|April 16, 2013
Training artificial neural networks directly on the concordance index for censored data using genetic algorithmsJonas Kalderstam, Patrik Edén, Pär-Ola Bendahl, et al.
Artificial Intelligence in Medicine|April 18, 2013
Artificial metaplasticity prediction model for cognitive rehabilitation outcome in acquired brain injury patientsAlexis Marcano-Cedeño, Paloma Chausa, Alejandro García, et al.
Artificial Intelligence in Medicine|May 21, 2013
From an expert-driven paper guideline to a user-centred decision support system: a usability comparison studyEllen Kilsdonk, Linda W Peute, Rinke J Riezebos, et al.
Artificial Intelligence in Medicine|January 22, 2013
Mood recognition in bipolar patients through the PSYCHE platform: preliminary evaluations and perspectivesGaetano Valenza, Claudio Gentili, Antonio Lanatà, et al.
Artificial Intelligence in Medicine|January 5, 2013
Artificial intelligence framework for simulating clinical decision-making: a Markov decision process approachCasey C Bennett, Kris Hauser
Artificial Intelligence in Medicine|March 5, 2013
A knowledge-based clinical toxicology consultant for diagnosing multiple exposuresJoel D Schipper, Douglas D Dankel, A Antonio Arroyo, et al.
Artificial Intelligence in Medicine|April 23, 2013
The readiness of SNOMED problem list concepts for meaningful use of electronic health recordsAnkur Agrawal, Zhe He, Yehoshua Perl, et al.
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