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Explainable prediction of chronic renal disease in the Colombian population using neural networks and case-based reasoning
This paper presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD). The model is trained with the demographic data and medical care information of two ...
Symbolic AI for XAI: Evaluating LFIT inductive programming for explaining biases in machine learning
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) ...
The Amazing Journey of Reason : from DNA to Artificial Intelligence
This Open Access book explores questions such as why and how did the first biological cells appear? And then complex organisms, brains, societies and –now– connected human societies? Physicists have good models for describing ...
A First Approach Towards Integrating Computational Argumentation in Cognitive Cities
(Association for Computing Machinery, 2020)
In the last years, the concept of Cognitive Smart City (CSC) emerged from the convergence of the Internet of Things, big data, smart city technologies and artificial intelligence techniques. At the same time, computational ...
Algoritmos laborales: big data e inteligencia artificialLabour algorithms: big data and artificial intelligence
(Pontificia Universidad Católica del PerúPE, 2020)
Savana: Re-using Electronic Health Records with Artificial Intelligence
Health information grows exponentially (doubling every 5 years), thus generating a sort of inflation of science, i.e. the generation of more knowledge than we can leverage. In an unprecedented data-driven shift, today ...
Due diligence during a mergers and acquisition process and the impact of artificial intelligence
(2019-09-11)
El objetivo de la tesis de maestría realizada fue identificar qué impacto puede tener la inteligencia artificial (IA) en una diligencia debida durante un proceso de fusiones y adquisiciones. Por lo tanto, los factores ...
Metodologia para a classificação multiclasse de imagens histológicas baseada em inteligência artificial explicávelMethodology for multiclass classification of histological images based on explainable artificial intelligence
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Ciência da Computação, 2022)
A technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminology
(Georg Thieme Verlag Kg, 2019-12-01)
Background and aim The growing number of publications on the application of artificial intelligence (AI) in medicine underlines the enormous importance and potential of this emerging field of research. In gastrointestinal ...