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Object oriented framework for healthcare simulation

Akshay Venkitasubramanian, Stephen D Roberts, Jeffrey A Joines
2015 2015 Winter Simulation Conference (WSC)  
Healthcare is a highly interconnected environment and multi-facility simulations will help in relaxing the fixed boundaries assumed in facility-specific simulation projects.  ...  In this thesis, we present a model development process that takes advantage of expertise of simulation community in facility-specific models and extend it to the development of complex integrated multi-facility  ...  In addition to this, he is also grateful to them for supporting him through research and teaching assistantships. The author also expresses his thanks to Dr.  ... 
doi:10.1109/wsc.2015.7408266 dblp:conf/wsc/Venkitasubramanian15 fatcat:eow7nv3mdvg5jki75tvd5b3ocq

Unified Simulation, Perception, and Generation of Human Behavior [article]

Ye Yuan
2022 arXiv   pre-print
In this thesis, we take a holistic approach to human behavior modeling and tackle its three essential aspects -- simulation, perception, and generation.  ...  Understanding and modeling human behavior is fundamental to almost any computer vision and robotics applications that involve humans.  ...  A promising future direction along this line is to combine our simulation-based behavior modeling framework with these approaches to further improve the physical plausibility and fidelity of human and  ... 
arXiv:2204.13678v1 fatcat:ls2kmgifbjbaffgwodgdiilstm

Hybrid Systems Modelling Aided by Machine Learning with Applications in Healthcare

Mahmoud Elbattah
2020 Figshare  
At the population level, simulation models were used to mimic the flow of patients, and the care journey, while ML provided accurate predictions of care outcomes at the patient le [...]  ...  The key idea is to realise ML-guided simulations during different stages of model development.The study goes through a use case in relation to healthcare, which aims to provide a practical perspective  ...  First, I would like to dedicate this work to my parents for their unbreakable faith and moral support over long years. Their love and encouragement helped me continue to be persistent and diligent  ... 
doi:10.6084/m9.figshare.11676450.v1 fatcat:4s2son2lgzhibhpo4z3pje4tmq

Application of Machine Learning in Translational Medicine: Current Status and Future Opportunities

Nadia Terranova, Karthik Venkatakrishnan, Lisa J. Benincosa
2021 AAPS Journal  
AbstractThe exponential increase in our ability to harness multi-dimensional biological and clinical data from experimental to real-world settings has transformed pharmaceutical research and development  ...  In this commentary, we provide an overview of ML applications in drug discovery and development, aligned with the three strategic pillars of Translational Medicine (target, patient, dose) and offer perspectives  ...  In fact, ML-based disease models can be used as a drug development tool to improve trial designs, randomization aids, patient enrichment, and virtual control arms (50) .  ... 
doi:10.1208/s12248-021-00593-x pmid:34008139 pmcid:PMC8130984 fatcat:4bkqmfkebjhhjnzy5modwbplda

Artificial Intelligence for the Metaverse: A Survey [article]

Thien Huynh-The and Quoc-Viet Pham and Xuan-Qui Pham and Thanh Thi Nguyen and Zhu Han and Dong-Seong Kim
2022 arXiv   pre-print
In this context, metaverse, a term formed by combining meta and universe, has been introduced as a shared virtual world that is fueled by many emerging technologies, such as fifth-generation networks and  ...  In this survey, we make a beneficial effort to explore the role of AI in the foundation and development of the metaverse.  ...  To overcome the above challenges, a symbiotic human-ML framework [148] was leveraged with a reinforcement learning strategy by combining the learning capacity of Q-learning models and the domain knowledge  ... 
arXiv:2202.10336v1 fatcat:35isd745dbaqfnpzthnmbaosue

J une : open-source individual-based epidemiology simulation

Joseph Aylett-Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, Miguel Icaza-Lizaola, Aidan Sedgewick, Henry Truong, Aoife Curran, Edward Elliott, Tristan Caulfield, Kevin Fong, Ian Vernon, Julian Williams (+2 others)
2021 Royal Society Open Science  
In this paper, we apply J une to the specific case of modelling the spread of COVID-19 in England.  ...  We introduce J une , an open-source framework for the detailed simulation of epidemics on the basis of social interactions in a virtual population constructed from geographically granular census data,  ...  This work was undertaken as a contribution to the Rapid Assistance in Modelling the Pandemic (RAMP) initiative, coordinated by the Royal Society.  ... 
doi:10.1098/rsos.210506 fatcat:utld4tylubberhl7yysbzobcba

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

2020 Database: The Journal of Biological Databases and Curation  
the way for a new data-centric era of discovery in healthcare.  ...  Implementation of artificial intelligence in healthcare is a compelling vision that has the potential in leading to the significant improvements for achieving the goals of providing real-time, better personalized  ...  Acknowledgements We are grateful to the Ahmed lab, and appreciate all colleagues and institutions, who provided direct and indirect insight and expertise that greatly assisted this research.  ... 
doi:10.1093/database/baaa010 pmid:32185396 pmcid:PMC7078068 fatcat:ypsuz5dewvcgtpjx4vjkhi545q

Reinforcement Learning in Practice: Opportunities and Challenges [article]

Yuxi Li
2022 arXiv   pre-print
Then we discuss challenges, in particular, 1) foundation, 2) representation, 3) reward, 4) exploration, 5) model, simulation, planning, and benchmarks, 6) off-policy/offline learning, 7) learning to learn  ...  In this article, we first give a brief introduction to reinforcement learning (RL), and its relationship with deep learning, machine learning and AI.  ...  A model or a simulator specifies how an agent interacts with an environment. A dataset may be collected offline, or generated by the dynamics rules, a model, or a simulator.  ... 
arXiv:2202.11296v2 fatcat:xdtsmme22rfpfn6rgfotcspnhy

First Middle Eastern Conference on Interprofessional Education Doha, Qatar, December 4 to 6, 2015

The speakers and presenters Of the conference
2016 Innovations in Global Health Professions Education  
A collection of keynotes, oral presentations, and workshops from the 2015 Middle Eastern Conference on Interprofessional Education, in Doha, Qatar.  ...  environment, and to develop and improve patient-centered care.  ...  Some opted for a simulated patient (an actor) or a very basic doll paired with a tablet-based patient monitor, while others opted for an interactive computer-controlled patient simulator.  ... 
doi:10.20421/ighpe.2016.02 fatcat:3hmw5jmj2bfvfhamhoqzjilbnm

Health State Estimation [article]

Nitish Nag
2020 arXiv   pre-print
This dissertation presents an approach to build a personal model and dynamically estimate the health state of an individual by fusing multi-modal data and domain knowledge.  ...  This work concludes by presenting this framework of combining the health state and personal graph model to perpetually plan and assist us in living life towards our goals.  ...  Translating knowledge maps for events into a temporal visual representation Wang et al. (2013) .  ... 
arXiv:2003.09312v1 fatcat:sm7vadoyerbf5gmeujvobcqop4

Transducer models in the ultrasound simulation program FIELD II and their accuracy

J. A. Jensen, D. Bk
2010 Journal of the Acoustical Society of America  
This program will be first benchmarked with a classic wedge problem, and then used to study an idealized canyon environment to understand distinct 3-D sound propagation effects.  ...  The idealized environment has a Gaussian shaped canyon incising a slope. Horizontal focusing of sound in the canyon and energy flow into the canyon from an off-axis sound source are observed.  ...  The abundance data were combined with environmental data in a geographical information system, and a model was developed to determine what factors of the environment are correlated with their abundance  ... 
doi:10.1121/1.3384240 fatcat:m5fvh5cecjceneniqfd5w2y3xy

Risk management strategies for finding universal portfolios

Esther Mohr, Robert Dochow
2016 Annals of Operations Research  
Combining monitoring (Business Intelligence) and actionable insight (Predictive Analytics) allows organisations to take control of the many touch points between consumers and systems, often in real-time  ...  This talk addresses the key levers to successful use of analytics in organisations, including case studies, and considers the emerging area of cognitive computing systems applied to the field of analytics  ...  Working towards a general approach to cloud computing for simulation, this paper discusses how the CloudSME Simulation Platform is providing a novel approach to cloud computing for modelling & simulation  ... 
doi:10.1007/s10479-016-2176-6 fatcat:t75t7tv4evg3zpavb3dvq5ugnq

The level of mental load during a functional task is reflected in oculometrics [chapter]

Ramtin Zargari Marandi, Afshin Samani, Pascal Madeleine
2017 International Federation for Medical and Biological Engineering Proceedings  
and organizational change projects Chair: Ole Broberg (Denmark) • A constructive framework to analyze collaborative activity in simulation workshops (Barcellini Flore) • A framework of participatory  ...  on visual attention in nurses (Menozzi Marino) • Visual Ergonomics in Control Rooms -An example of creativity in practice (Long Jennifer) • Visual ergonomics in control room environments: a case study  ... 
doi:10.1007/978-981-10-5122-7_15 fatcat:vaq2jz2o3zgofdi4tkkn2ksfje

Design and Implementation of "AugMedicine: Lung Cases," an Augmented Reality Application for the Medical Curriculum on the Presentation of Dyspnea

Arianne D. Pieterse, Beerend P. Hierck, Peter G. M. de Jong, Jelger Kroese, Luuk N. A. Willems, Marlies E. J. Reinders
2020 Frontiers in Virtual Reality  
Augmented Reality is a technique that enriches the real-life environment with 3D visuals and audio. It offers possibilities to expose medical students to a variety of clinical cases.  ...  New knowledge was acquired with the application by solving an authentic problem based on a real patient case.  ...  We thank Franka Luk and Manon Zuurmond for their contributions to this study and paper.  ... 
doi:10.3389/frvir.2020.577534 fatcat:aszpy6w7sfcfljigwb4hb3czyq

Combining PSMs with hard OR methods: the philosophical and practical challenges

K Kotiadis, J Mingers
2006 Journal of the Operational Research Society  
applying DES modelling in a traditional “hard” way in a manufacturing environment, and was eager to apply simulation modelling again in research to obtain a PhD.  ...  Robinson (2001) describes using simulation modelling in a soft intervention to aid the improvement of a user support helpline service at Warwick Business School.  ... 
doi:10.1057/palgrave.jors.2602147 fatcat:pafxle5pbnc2ldmzz4oaescarq
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