Artificial intelligence in medicine

By Marium Malik, M. Tariq, Maira Kamran, M.R Naqvi. 1989

Abstract not available Bangladesh J Medicine 2023; 34(2): 69-71

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Citations in the corpus

Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation (2016, methodology): “The results in Table 1 do suggest so, as TILDE achieves identical performance regardless of the representation.”
The Shapley Value in Machine Learning (2022, methodology): “This allows the use of precise game-speciﬁc approximation [ Fatima et al. , 2008] techniques and because of this the Shapley value estimates are obtained in quadratic time and have a tight approximation error.”
Neuro-Symbolic = Neural + Logical + Probabilistic (2019, methodology): “Neural network / embeddings as special case Logic as special case Probabilistic Underlying logic Semantic based regularization [Diligenti et al., 2017] X FOL Logic Tensor Networks [Donadello et al.”
Learning Recursive Distributed Representations for Holistic Computation (1991, methodology): “The ultimate power and feasibility will rest upon further development and improvement of reduced description architectures [Hinton, 1990] and upon the harnessing of synergy between confluent and transformational methods.”
Semantic Overlay Networks for P2P Systems (2004, background): “matic classifiers include text matching [9], Bayesian networks [11], and clustering algorithms [17].”
Modeling Actions through State Changes (2013, unknown): “In the AI and robotics literature, an action is performed by an intelligent agent through actuators and results in particular changes to the environment [19].”
Identifiability of Path-Specific Effects (2005, unknown): “If we consider each value assignment u as a possible world, then we can view P (u) as describing our degree of belief that a particular world is true, and P (α) as our belief that a particular statement is true in our causal model if viewed as a type 2 probability structure [Halpern, 1990].”
Fusing Blockchain and AI With Metaverse: A Survey (2022, background): “Artificial Intelligence is a research discipline proceeded on the basis of the hypothesis that every aspect of learning can in principle be so precisely described [31].”