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1. AI-based derivation of atrial fibrillation phenotypes in the general and critical care populationsResearch in context

2. Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study

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3. Mapping the global free expression landscape using machine learning

4. Causal inference and observational data

5. Enhanced survival prediction using explainable artificial intelligence in heart transplantation

6. Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm

7. Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration

8. Breast cancer patient characterisation and visualisation using deep learning and fisher information networks

9. Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning

10. In-Hospital Mortality of Sepsis Differs Depending on the Origin of Infection: An Investigation of Predisposing Factors

11. Development of a Risk Prediction Model for New Episodes of Atrial Fibrillation in Medical-Surgical Critically Ill Patients Using the AmsterdamUMCdb

12. How to Open a Black Box Classifier for Tabular Data

13. Externally validated models for first diagnosis and risk of progression of knee osteoarthritis.

14. The Athlete’s Heart and Machine Learning: A Review of Current Implementations and Gaps for Future Research

15. Multi-task learning with a natural metric for quantitative structure activity relationship learning

16. Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models.

17. rEHR: An R package for manipulating and analysing Electronic Health Record data.

18. Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink.

20. ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records.

22. Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus

23. New use for an old drug:Metformin and atrial fibrillation

24. Machine Learning based search for Cataclysmic Variables within Gaia Science Alerts

25. Renin-angiotensin system inhibitors effect before and during hospitalization in COVID-19 outcomes: Final analysis of the international HOPE COVID-19 (Health Outcome Predictive Evaluation for COVID-19) registry

26. How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

27. Transformational machine learning

28. Associations of Hepatosteatosis With Cardiovascular Disease in HIV-Positive and HIV-Negative Patients: The Liverpool HIV-Heart Project

29. Chitosan nanoparticles for enhancing drugs and cosmetic components penetration through the skin

30. Using MLP partial responses to explain in-hospital mortality in ICU

31. Multi-task learning with a natural metric for quantitative structure activity relationship learning

32. Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study

33. Impact of Access Site Practice on Clinical Outcomes in Patients Undergoing Percutaneous Coronary Intervention Following Thrombolysis for ST-Segment Elevation Myocardial Infarction in the United Kingdom

34. Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data

35. Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer

36. Benchmarking multi-task learning in predictive models for drug discovery

37. Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer

38. MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis

39. A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach

40. Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis

41. Impact of Co-morbid burden on mortality in patients with coronary heart disease, heart failure and cerebrovascular accident: a systematic review and meta-analysis

42. Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

43. A Genomewide Screen for Tolerance to Cationic Drugs Reveals Genes Important for Potassium Homeostasis in Saccharomyces cerevisiae

44. A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients

45. Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

46. Variational Bayesian Generative Topographic Mapping

47. Inequalities in physical comorbidity: a longitudinal comparative cohort study of people with severe mental illness in the UK

48. Primary care consultation rates among people with and without severe mental illness:a UK cohort study using the Clinical Practice Research Datalink

49. Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy

50. A switching multi-scale dynamical network model of EEG/MEG