Bilal A. Mateen

1. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
   2024/04/16 by Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman +31 · 1 voice · 37 citations
   Medicine · Decision Sciences · Health Professions · #Artificial Intelligence in Healthcare and Education #Meta-analysis and systematic reviews #Healthcare cost, quality, practices
2. Phenotype-based targeted treatment of SGLT2 inhibitors and GLP-1 receptor agonists in type 2 diabetes
   2024/02/22 by Pedro Cardoso, Katie G. Young, Katherine Young +20 · 19 citations
   Medicine · Biochemistry, Genetics and Molecular Biology · #Diabetes Treatment and Management #Genetic Associations and Epidemiology #Diabetes Management and Research
3. Probabilistic supervised learning
   2018/01/02 by Frithjof Gressmann, Franz J. Király, Gressmann, Frithjof +5 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics Theory (math.ST)
4. Model updating after interventions paradoxically introduces bias
   2020/10/22 by James Liley, Liley, James, Samuel R. Emerson +9 · 1 citation
   Computer Science · Economics, Econometrics and Finance · Medicine · #Artificial Intelligence in Healthcare and Education #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
5. Machine learning and AI research for Patient Benefit: 20 Critical\n Questions on Transparency, Replicability, Ethics and Effectiveness
   2018/12/21 by Sebastian J. Vollmer, Vollmer, Sebastian, Bilal A. Mateen +33 · 1 citation
   Economics, Econometrics and Finance · Health Professions · Medicine · #68T01 #Applications (stat.AP) #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Healthcare cost, quality, practices #Machine Learning (cs.LG) #Machine Learning (stat.ML)