149 results on '"Marshall, Adele H."'
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2. Reviewing Non-intrusive Load Monitoring Using a Pilot Study of an IoT Device to Disaggregate Energy Usage
3. Impact of COVID-19 on the Belfast Bike Sharing Scheme
4. Optimizing the Belfast Bike Sharing Scheme
5. A framework for developing generalisable discrete event simulation models of hospital emergency departments
6. The CP‐ABM approach for modelling COVID‐19 infection dynamics and quantifying the effects of non‐pharmaceutical interventions
7. Impact of COVID-19 on the Belfast Bike Sharing Scheme
8. Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models
9. Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems
10. Academic Students’Progress Indicators and Gender Gaps Based on Survival Analysis and Data Mining Frameworks
11. Coxian Phase-Type Regression Models for Understanding the Relationship Between Patient Attributes, Overcrowding, and Length of Stay in Hospital Emergency Departments
12. Optimizing the Belfast Bike Sharing Scheme
13. Introducing the DM-P approach for analysing the performances of real-time clinical decision support systems
14. Academic Students’ Progress Indicators and Gender Gaps Based on Survival Analysis and Data Mining Frameworks
15. Cattle movements in Northern Ireland form a robust network: implications for disease management
16. Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems
17. Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models
18. A New Data Analytics Framework Emphasising Pre-processing in Learning AI Models for Complex Manufacturing Systems
19. Detection of Voigt Spectral Line Profiles of Hydrogen Radio Recombination Lines toward Sagittarius B2(N)
20. Using machine learning to improve bovine tuberculosis control in herd level outbreaks
21. Expediting assessments of database performance for streams of respiratory parameters
22. Modelling the Length of Stay of Geriatric Patients in Emilia Romagna Hospitals Using Coxian Phase-Type Distributions with Covariates
23. Predicting elderly patient length of stay in hospital and community care using a series of conditional Coxian phase-type distributions, further conditioned on a survival tree
24. Using the hidden Markov model to capture quality of care in Lombardy geriatric wards
25. A New Data Analytics Framework Emphasising Pre-processing in Learning AI Models for Complex Manufacturing Systems
26. Treatment of retinopathy of prematurity in Northern Ireland, 2000-2011: a population-based study
27. Hospitalization in Geriatric Wards: Considerations on the Evaluation of the Outcome
28. Hotspots identification and ranking for road safety improvement: An alternative approach
29. Process Mining the Performance of a Real-Time Healthcare 4.0 Systems Using Conditional Survival Models
30. Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients
31. Computational learning of the conditional phase-type (C-Ph) distribution: Learning C-Ph distributions
32. The CP-ABM approach for modelling COVID-19 infection dynamics and quantifying the effects of non-pharmaceutical interventions
33. Modelling the Length of Stay of Geriatric Patients in Emilia Romagna Hospitals Using Coxian Phase-Type Distributions with Covariates
34. Experimenting with the Coxian Phase-Type Distribution to Uncover Suitable Fits
35. Using Coxian Phase-Type Distributions to Identify Patient Characteristics for Duration of Stay in Hospital
36. Addressing Bed Costs for the Elderly: A New Methodology for Modelling Patient Outcomes and Length of Stay
37. Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring
38. A joint likelihood approach to the analysis of length of stay data utilising the continuous-time hidden Markov model and Coxian phase-type distribution
39. A joint likelihood approach to the analysis of length of stay data utilising the continuous-time hidden Markov model and Coxian phase-type distribution.
40. The practical implications of using standardized estimation equations in calculating the prevalence of chronic kidney disease
41. A new data analytics framework emphasising preprocessing of data to generate insights into complex manufacturing systems
42. A two-stage approach to the joint analysis of longitudinal and survival data utilising the Coxian phase-type distribution
43. A Bayesian network based learning system for modelling faults in large-scale manufacturing
44. Predicting elderly patient length of stay in hospital and community care using a series of conditional Coxian phase-type distributions, further conditioned on a survival tree
45. A two-stage approach to the joint analysis of longitudinal and survival data utilising the Coxian phase-type distribution
46. Education achievement and type 2 diabetes—what mediates the relationship in older adults? Data from the ESTHER study: a population-based cohort study
47. A two-stage approach to the joint analysis of longitudinal and survival data utilising the Coxian phase-type distribution.
48. A Discrete Conditional Phase-Type Model Utilising a Survival Tree for the Identification of Elderly Patient Cohorts and Their Subsequent Prediction of Length of Stay in Hospital
49. Modelling the Time Taken to Experience a Type 2 Diabetes Related Complication Using a Survival Tree in Order to Advise General Practitioners
50. Proposing the Deep Dynamic Bayesian Network as a Future Computer Based Medical System
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