Last Posted: Apr 04, 2019
- A Machine Learning Classifier for Assigning Individual Patients with Systemic Sclerosis to Intrinsic Molecular Subsets.
Franks Jennifer M et al. Arthritis & rheumatology (Hoboken, N.J.) 2019 Mar - Application of Single-Nucleotide Polymorphisms in the Diagnosis of Autism Spectrum Disorders: A Preliminary Study with Artificial Neural Networks.
Ghafouri-Fard Soudeh et al. Journal of molecular neuroscience : MN 2019 Apr - Machine Learning in Medicine.
Rajkomar Alvin et al. The New England journal of medicine 2019 Apr 380(14) 1347-1358 - Applying Supervised Machine Learning to Identify Which Patient Characteristics Identify the Highest Rates of Mortality Post-Interhospital Transfer.
Reimer Andrew P et al. Biomedical informatics insights 2019 111178222619835548 - Biotechnology, Big Data and Artificial Intelligence.
Oliveira Arlindo L et al. Biotechnology journal 2019 Mar e1800613 - Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.
Ogink Paul T et al. European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 2019 Mar - Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.
Daunhawer Imant et al. Pediatric research 2019 Mar - Improving Health Care with Advanced Analytics: Practical Considerations.
Benuzillo Jose et al. EGEMS (Washington, DC) 2019 Mar 7(1) 3 - Machine learning for patient risk stratification for acute respiratory distress syndrome.
Zeiberg Daniel et al. PloS one 2019 14(3) e0214465 - Machine learning to molecularly classify systemic sclerosis patients.
Tao Weiyang et al. Arthritis & rheumatology (Hoboken, N.J.) 2019 Apr
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