Externally validated models for first diagnosis and risk of progression of knee osteoarthritis von McCabe, Philippa Grace, Lisboa, Paulo, Baltzopoulos, Bill, Olier, Ivan

Volltext

Nonnegative/Binary matrix factorization with a D-Wave quantum annealer von O'Malley, Daniel, Vesselinov, Velimir V, Alexandrov, Boian S, Alexandrov, Ludmil B

Volltext

Predicting drug activity against cancer cells by random forest models based on minimal genomic information and chemical properties von Lind, Alex P, Anderson, Peter C

Volltext

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis von van Doorn, William P T M, Stassen, Patricia M, Borggreve, Hella F, Schalkwijk, Maaike J, Stoffers, Judith, Bekers, Otto, Meex, Steven J R

Volltext

Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures von Shtar, Guy, Rokach, Lior, Shapira, Bracha

Volltext

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management von Olier, Ivan, Ortega-Martorell, Sandra, Pieroni, Mark, Lip, Gregory Y H

Volltext

Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing von Fernandes, Marta, Mendes, Rúben, Vieira, Susana M, Leite, Francisca, Palos, Carlos, Johnson, Alistair, Finkelstein, Stan, Horng, Steven, Celi, Leo Anthony

Volltext

Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing von Fernandes, Marta, Mendes, Rúben, Vieira, Susana M, Leite, Francisca, Palos, Carlos, Johnson, Alistair, Finkelstein, Stan, Horng, Steven, Celi, Leo Anthony

Volltext

Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization von Mongia, Aanchal, Majumdar, Angshul

Volltext

A Bayesian approach to identify Bitcoin users von Juhász, Péter L, Stéger, József, Kondor, Dániel, Vattay, Gábor

Volltext

MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis von Rosnati, Margherita, Fortuin, Vincent

Volltext

Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images von Lopez-Garnier, Santiago, Sheen, Patricia, Zimic, Mirko

Volltext

ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records von Springate, David A, Kontopantelis, Evangelos, Ashcroft, Darren M, Olier, Ivan, Parisi, Rosa, Chamapiwa, Edmore, Reeves, David

Volltext

Causal inference and observational data von Olier, Ivan, Zhan, Yiqiang, Liang, Xiaoyu, Volovici, Victor

Volltext

Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review von Harding, Zoe, Wilkinson, Tim, Stevenson, Anna, Horrocks, Sophie, Ly, Amanda, Schnier, Christian, Breen, David P, Rannikmäe, Kristiina, Sudlow, Cathie L M

Volltext

Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning von Aikodon, Nosa, Ortega-Martorell, Sandra, Olier, Ivan

Volltext

Enhanced survival prediction using explainable artificial intelligence in heart transplantation von Lisboa, Paulo J. G., Jayabalan, Manoj, Ortega-Martorell, Sandra, Olier, Ivan, Medved, Dennis, Nilsson, Johan

Volltext

pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage von Bonaretti, Serena, Gold, Garry E, Beaupre, Gary S

Volltext

Multi-stage optimization of a deep model: A case study on ground motion modeling von Tahmassebi, Amirhessam, Gandomi, Amir H, Fong, Simon, Meyer-Baese, Anke, Foo, Simon Y

Volltext

Mining heterogeneous clinical notes by multi-modal latent topic model von Wen, Zhi, Nair, Pratheeksha, Deng, Chih-Ying, Lu, Xing Han, Moseley, Edward, George, Naomi, Lindvall, Charlotta, Li, Yue

Volltext