All Stories

  1. Fluorescence spectroscopy and machine learning methods for detection of Alzheimer's disease from circulating white blood cells
  2. Leveraging Administrative Health Records and Machine Learning for Population-Level Prediction of Preterm Birth
  3. Learning dynamic binary treatment policies under treatment selection bias: A Conservative Q-Learning approach with representation balancing
  4. Temporally consistent survival prediction for non-uniform longitudinal data
  5. Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiology
  6. Supplementary Data 1 from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  7. Maturity Framework for Operationalizing Machine Learning Applications in Health Care: Scoping Review
  8. Population-level individualized prospective prediction of opioid overdose using machine learning
  9. Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning
  10. DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment with a Diffusion Model Framework
  11. Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data
  12. Data from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  13. Data from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  14. Supplementary Data 1 from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  15. Supplementary Data 1 from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  16. A primer and practical recommendations for AI and machine learning terminology in medicine and behavioral sciences (Preprint)
  17. A tutorial and practical recommendations for AI and machine learning terminology in medicine, psychology, and social sciences (Preprint)
  18. Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study
  19. Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level
  20. Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
  21. Individual Survival Distributions Generated by Multi-Task Logistic Regression Yield a New Perspective on Molecular and Clinical Prognostic Factors in Gastric Adenocarcinoma
  22. Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction
  23. Accurate personalized survival prediction for amyotrophic lateral sclerosis patients
  24. Data from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  25. Supplementary Data 1 from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  26. Supplementary Data 1 from Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  27. Learning Individual Survival Models from PanCancer Whole Transcriptome Data
  28. Predicting Breast Cancer Onset Using Lifestyle and Health History
  29. Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets
  30. Prediction of Obsessive-Compulsive Disorder: Importance of Neurobiology-Aided Feature Design and Cross-Diagnosis Transfer Learning
  31. An E–Mental Health Solution to Prevent and Manage Posttraumatic Stress Injuries Among First Responders in Alberta: Protocol for the Implementation and Evaluation of Text Messaging Services (Text4PTSI and Text4Wellbeing)
  32. Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients
  33. SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
  34. A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces
  35. Dataset of COVID-19 outbreak and potential predictive features in the USA
  36. Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network
  37. Predicting insect outbreaks using machine learning: A mountain pine beetle case study
  38. An E–Mental Health Solution to Prevent and Manage Posttraumatic Stress Injuries Among First Responders in Alberta: Protocol for the Implementation and Evaluation of Text Messaging Services (Text4PTSI and Text4Wellbeing) (Preprint)
  39. Analyzing Biomarker Discovery: Estimating the Reproducibility of Biomarker Sets
  40. Using survival prediction techniques to learn consumer-specific reservation price distributions
  41. Mental Health Outreach via Supportive Text Messages during the COVID-19 Pandemic: Improved Mental Health and Reduced Suicidal Ideation after Six Weeks in Subscribers of Text4Hope Compared to a Control Population
  42. Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19
  43. Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study
  44. Exploiting the full potential of Bayesian networks in predictive ecology
  45. Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study (Preprint)
  46. Gene expression based survival prediction for cancer patients—A topic modeling approach
  47. Improved Brain Tumor Segmentation via Registration-Based Brain Extraction
  48. Analyzing the effects of test driven development in GitHub
  49. Consistency and Generalization Bounds for Maximum Entropy Density Estimation