Cited by 26
Phase-Type Survival Trees and Mixed Distribution Survival Trees for Clustering Patients' Hospital Length of Stay

2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)
Andrew S. Gordon, Adele H. Marshall, Mariangela Zenga
Conference  (2016), p. 259
2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom)
Ariana J. Mann, Nicholas Bambos
Conference  (2022), p. 199
A Contemporary Review on Drought Modeling Using Machine Learning Approaches
Karpagam Sundararajan, Lalit Garg, Kathiravan Srinivasan, Ali Kashif Bashir, Jayakumar Kaliappan, Ganapathy Pattukandan Ganapathy, Senthil Kumaran Selvaraj, T. Meena
Journal  Computer Modeling in Engineering & Sciences Volume 128, Issue 2 (2021), p. 447
A Longitudinal Study of the Bladder Cancer Applying a State-Space Model with Non-Exponential Staying Time in States
Delia Montoro-Cazorla, Rafael Pérez-Ocón, Alicia Pereira das Neves-Yedig
Journal  Mathematics Volume 9, Issue 4 (2021), p. 363
A Phase-Type Distribution for the Sum of Two Concatenated Markov Processes Application to the Analysis Survival in Bladder Cancer
Belén García-Mora, Cristina Santamaría, Gregorio Rubio
Journal  Mathematics Volume 8, Issue 12 (2020), p. 2099
A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment
Hongyi Mao, Yang Sun
Journal  International Journal of Telemedicine and Applications Volume 2017 (2017), p. 1
A medical procedure-based patient grouping method for an emergency department
M. Xu, T.C. Wong, K.S. Chin
Journal  Applied Soft Computing Volume 14 (2014), p. 31
A systematic review of the prediction of hospital length of stay: Towards a unified framework
Kieran Stone, Reyer Zwiggelaar, Phil Jones, Neil Mac Parthaláin, Dukyong Yoon
Journal  PLOS Digital Health Volume 1, Issue 4 (2022), p. e0000017
AliClu - Temporal sequence alignment for clustering longitudinal clinical data
Kishan Rama, Helena Canhão, Alexandra M. Carvalho, Susana Vinga
Journal  BMC Medical Informatics and Decision Making Volume 19, Issue 1 (2019)
An Extended Mixture Distribution Survival Tree for Patient Pathway Prognostication
Lalit Garg, Sally McClean, Maria Barton, Brian Meenan, Ken Fullerton
Journal  Communications in Statistics - Theory and Methods Volume 42, Issue 16 (2013), p. 2912
Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump
J.L. Casteleiro-Roca, J.L. Calvo-Rolle, M.C. Meizoso-López, A.J. Piñón-Pazos, B.A. Rodríguez-Gómez
Journal  Neurocomputing Volume 150 (2015), p. 90
Blockchain Within the Insurance Industry: A Bibliometric Analysis
Lalit Garg, Luca Bugeja, Corinne Marie Formosa, Varun Shukla
Book  Algorithms for Intelligent Systems (Cryptology and Network Security with Machine Learning) (2024), p. 335
Characterizing hospital admission patterns and length of stay in the emergency department at Mater Dei Hospital Malta
Lalit Garg, Natasha Attard, Vijay Prakash, Bhushan Dinkar Pawar, Sally I. McClean, Sandra C. Buttigieg, Neville Calleja
Book  (2025), p. 29
Costing Mixed Coxian Phase-type Systems with Poisson Arrivals
Sally McClean, Lalit Garg, Ken Fullerton
Journal  Communications in Statistics - Theory and Methods Volume 43, Issue 7 (2014), p. 1437
Fifty Years of Classification and Regression Trees
Wei‐Yin Loh
Journal  International Statistical Review Volume 82, Issue 3 (2014), p. 329
Fuzzy Logic-Based Health Monitoring System for COVID’19 Patients
M. Jayalakshmi, Lalit Garg, K. Maharajan, K. Jayakumar, Kathiravan Srinivasan, Ali Kashif Bashir, K. Ramesh
Journal  Computers, Materials & Continua Volume 67, Issue 2 (2021), p. 2431
Gaussian Mixture Model-based noise reduction in resting state fMRI data
Gaurav Garg, Girijesh Prasad, Damien Coyle
Journal  Journal of Neuroscience Methods Volume 215, Issue 1 (2013), p. 71
Intelligent Patient Management and Resource Planning for Complex, Heterogeneous, and Stochastic Healthcare Systems
Lalit Garg, Sally I. McClean, Maria Barton, Brian J. Meenan, Ken Fullerton
Journal  IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans Volume 42, Issue 6 (2012), p. 1332
Laws of Large Numbers for Non-Homogeneous Markov Systems with Arbitrary Transition Probability Matrices
P. -C. G Vassiliou
Journal  Journal of Statistical Theory and Practice Volume 16, Issue 2 (2022)
Modeling of Bicomponent Mixing System Used in the Manufacture of Wind Generator Blades
Esteban Jove, Héctor Aláiz-Moretón, José Luis Casteleiro-Roca, Emilio Corchado, José Luis Calvo-Rolle
Book  Lecture Notes in Computer Science (Intelligent Data Engineering and Automated Learning – IDEAL 2014) Volume 8669 (2014), p. 275
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
Sajid Ali, Shaker El-Sappagh, Farman Ali, Muhammad Imran, Tamer Abuhmed
Journal  IEEE Journal of Biomedical and Health Informatics Volume 26, Issue 12 (2022), p. 5793
Patient length of stay and mortality prediction: A survey
Aya Awad, Mohamed Bader–El–Den, James McNicholas
Journal  Health Services Management Research Volume 30, Issue 2 (2017), p. 105
Phase-Type Survival Trees to Model a Delayed Discharge and Its Effect in a Stroke Care Unit
Lalit Garg, Sally McClean, Brian Meenan, Maria Barton, Ken Fullerton, Sandra C. Buttigieg, Alexander Micallef
Journal  Algorithms Volume 15, Issue 11 (2022), p. 414
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
Andrew S. Gordon, Adele H. Marshall, Mariangela Zenga
Journal  Health Care Management Science Volume 21, Issue 2 (2018), p. 269
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems
Sally McClean, Lalit Garg, Jennifer Gillespie, Ken Fullerton
Conference  (2013), p. 369
The coxian phase-type distribution as a contribution to the multilevel model of in-hospital mortality
Mariangela Zenga, Adele H. Marshall, Franca Crippa, Hannah Mitchell
Journal  Communications in Statistics - Theory and Methods Volume 45, Issue 6 (2016), p. 1819