All Stories

  1. Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams
  2. A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan
  3. Leveraging large language models for medical text classification: a hospital readmission prediction case
  4. Fuzzy Fractional Brownian Motion: Review and Extension
  5. Fuzzy Fractional Brownian Motion: Review and Extension
  6. Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study
  7. A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining
  8. Discovering Process Models from Patient Notes
  9. Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence
  10. Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining
  11. Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort
  12. A Conceptual Framework to Predict Mental Health Patients’ Zoning Classification
  13. A Comparative Machine Learning Modelling Approach for Patients’ Mortality Prediction in Hospital Intensive Care Unit
  14. Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography Based Heart Rate Estimation
  15. Transfer Learning Based Natural Scene Classification for Scene Understanding by Intelligent Machines
  16. Machine Learning Models for Predicting 30-Day Readmission of Elderly Patients Using Custom Target Encoding Approach
  17. Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model
  18. A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy
  19. How much longer till my process completes? Using location to answer
  20. An Exploration of Ethical Decision Making with Intelligence Augmentation
  21. Operations Research and Simulation in Healthcare
  22. Comparative analysis of clustering-based remaining-time predictive process monitoring approaches
  23. Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach
  24. Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach
  25. Machine learning prediction of susceptibility to visceral fat associated diseases
  26. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases
  27. A deep learning approach for length of stay prediction in clinical settings from medical records
  28. Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records
  29. Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK
  30. Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A tool for comorbidity risk assessment
  31. Controlling understaffing with conditional Value-at-Risk constraint for an integrated nurse scheduling problem under patient demand uncertainty
  32. Transformation of UML Activity Diagram for Enhanced Reasoning
  33. Discovering Business Processes in CRM Systems by Leveraging Unstructured Text Data
  34. Editorial: IMA health 2016
  35. Corrigendum to “Ensemble Risk Model of Emergency Admissions (ERMER)”[Int. J. Med. Inf. 103 (2017) 65–77]
  36. Ensemble Risk Model of Emergency Admissions (ERMER)
  37. Towards a threshold climate for emergency lower respiratory hospital admissions
  38. Predictive Risk Modelling for Integrated Care: A Structured Review
  39. Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data
  40. Improving the NHS demands more than just extra money
  41. A structured review of long-term care demand modelling
  42. The 7th IMA international conference on quantitative modelling in the management of health and social care: IMA health 2013 special issue
  43. Capacity planning of a perinatal network with generalised loss network model with overflow
  44. Risk prediction model using fuzzy regression method for predicting unplanned hospital admissions
  45. Towards an evidence-based decision making healthcare system management: Modelling patient pathways to improve clinical outcomes
  46. Healthcare planning and its potential role increasing operational efficiency in the health sector
  47. Overcoming the barriers: a qualitative study of simulation adoption in the NHS
  48. A risk analysis method for assessing risks based on interval-valued fuzzy number
  49. Profiling hospitals based on emergency readmission: A multilevel transition modelling approach
  50. Forecasting long-term care demand with incomplete information: A grey modelling approach
  51. Part Special Issue on Quantitative Modelling in the Management of Health Care
  52. Using simplified discrete-event simulation models for health care applications
  53. Nonproportional random effects modelling of a neonatal unit operational patient pathways
  54. Editorial: IMA Health 2010
  55. Measuring and modelling occupancy time in NHS continuing healthcare
  56. Data warehousing based architecture for the reporting of the NHS primary care prescribing
  57. Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning
  58. The impact of temperature disparity on emergency readmissions and patient flows
  59. Capturing the re-admission process: focus on time window
  60. An overflow loss network model for capacity planning of a perinatal network
  61. An approach to exploring the effect of weather variations on chronic disease incidence rate and potential changes in future health systems
  62. Data preparation for clinical data mining to identify patients at risk of readmission
  63. Corrigendum
  64. A Decision Support Tool for Health Service Re-design
  65. Towards effective capacity planning in a perinatal network centre
  66. Random effects models for operational patient pathways
  67. Analysis of variability in neonatal care units: A retrospective analysis
  68. Editorial
  69. A systematic approach in defining readmission
  70. A loss network model with overflow for capacity planning of a neonatal unit
  71. Modelling risk of readmission with phase-type distribution and transition models
  72. Emergency Readmission Criterion: A Technique for Determining the Emergency Readmission Time Window
  73. A Random Effects Sensitivity Analysis for Patient Pathways Model
  74. Modelling and Performance Measure of a Perinatal Network Centre in the United Kingdom
  75. Editorial: IMA Health 2007
  76. Balancing the NHS balanced scorecard!
  77. A Semi-open Queueing Network Approach to the Analysis of Patient Flow in Healthcare Systems
  78. Determining Readmission Time Window Using Mixture of Generalised Erlang Distribution
  79. Patients Flow: A Mixed-Effects Modelling Approach to Predicting Discharge Probabilities
  80. A simple graphical decision aid for the placement of elderly people in long-term care
  81. An Objective Method for Bed Capacity Planning in a Hospital Department
  82. The ICMCC second conference on “Medical and Care Compunetics”
  83. A software tool to aid long-term care budget planning at local authority level
  84. Six methodological steps to build medical data warehouses for research
  85. A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care
  86. A Closed Queueing Network Approach to the Analysis of Patient Flow in Health Care Systems
  87. A Method for Determining an Emergency Readmission Time Window for Better Patient Management
  88. A System for Patient Management Based Discrete-Event Simulation and Hierarchical Clustering
  89. On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care
  90. A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level
  91. A continuous time Markov model for the length of stay of elderly people in institutional long-term care
  92. Time for a New Approach for Reporting Herbal Medicine Adverse Events?
  93. A nearest neighbour approach to the simulation of spread of barley yellow dwarf virus
  94. A modelling approach to the development of health and social services for dementia care
  95. Combining statistical information in set theoretic estimation
  96. A Grid Implementation for Profiling Hospitals Based on Patient Readmissions
  97. Models for Extracting Information on Patient Pathways
  98. Selecting Statistical Information In Set Theoretic Signal Processing
  99. A Tool for Studying the Effects of Residents’ Attributes on Patterns of Length of Stay in Long-Term Care