Optimisation and parallelisation strategies for Monte Carlo simulation of HIV infection
TLDR
Optimisation and parallelisation solutions are discussed, with reference to existing MC simulation code for dynamics of HIV infection, for large-scale simulations of the immune system response to infection.About:
This article is published in Computers in Biology and Medicine.The article was published on 2007-05-01 and is currently open access. It has received 19 citations till now. The article focuses on the topics: Computational model.read more
Citations
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Journal ArticleDOI
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani,Mohamad Roshanzamir,Sadiq Hussain,Abbas Khosravi,Afsaneh Koohestani,Mohammad Hossein Zangooei,Moloud Abdar,Adham Beykikhoshk,Afshin Shoeibi,Afshin Shoeibi,Assef Zare,Maryam Panahiazar,Saeid Nahavandi,Dipti Srinivasan,Amir F. Atiya,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya +17 more
TL;DR: In this article, the authors have reviewed related studies conducted in the last 30 years (from 1991 to 2020) in handling uncertainties in medical data using probability theory and machine learning techniques and found that there are few challenges to be addressed in handling the uncertainty in medical raw data and new models.
Posted Content
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
Roohallah Alizadehsani,Mohamad Roshanzamir,Sadiq Hussain,Abbas Khosravi,Afsaneh Koohestani,Mohammad Hossein Zangooei,Moloud Abdar,Adham Beykikhoshk,Afshin Shoeibi,Afshin Shoeibi,Assef Zare,Maryam Panahiazar,Saeid Nahavandi,Dipti Srinivasan,Amir F. Atiya,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya +17 more
TL;DR: This paper reviewed related studies conducted in the last 30 years in handling uncertainties in medical data using probability theory and machine learning techniques and summarized various methods employed to overcome this problem.
Book ChapterDOI
An agent-based approach to immune modelling
TL;DR: In this paper, an agent-based approach is used to extract high-level behaviour which cannot be described analytically from the set of interaction rules at the cellular level and a prototype model encompasses local variation in baseline properties contributing to the individual disease experience and is included in a network which mimics the chain of lymphatic nodes.
Journal Article
An Agent-Based Approach to Immune Modelling: Priming Individual Response
TL;DR: This study focuses on examining why the range of experience with respect to HIV infection is so diverse, especially in regard to the latency period, and proposes a prototype model which encompasses local variation in baseline properties, contributing to the individual disease experience.
Book ChapterDOI
In Silico Biology: Making the Most of Parallel Computing
TL;DR: This chapter focuses on the application of the agent-based paradigm in the context of the immune response to HIV, and explicit implementation of lymph nodes and the associated lymph network, including lymphatic chain structure, is a key objective, and requires parallelisation of the model.
References
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Journal ArticleDOI
The Monte Carlo method.
N. Metropolis,Stanislaw M. Ulam +1 more
TL;DR: In this paper, the authors present a statistical approach to the study of integro-differential equations that occur in various branches of the natural sciences, such as biology and chemistry.
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Theory of Self-Reproducing Automata
John von Neumann,Arthur W. Burks +1 more
TL;DR: This invention relates to prefabricated buildings and comprises a central unit having a peripheral section therearound to form a main residential part defined by an assembly of juxtaposed roofing and facing trusses.
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Monte Carlo methods
TL;DR: The general nature of Monte Carlo methods can be found in this paper, where a short resume of statistical terms is given, including random, pseudorandom, and quasirandom numbers.
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Using MPI: Portable Parallel Programming with the Message-Passing Interface
TL;DR: Using MPI as mentioned in this paper provides a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel computers, including a comparison of MPI with sockets.