Image Classification and Categorization

Microglia Morphological Categorization in a Rat Model of Neuroinflammation by Hierarchical Cluster and Principal … – Frontiers

Introduction Microglial cells are resident macrophages of myeloid origin in the central nervous system, which were introduced by Pío del Río-Hortega (Río-Hortega, 1919a,b,c,d; Sierra et al., 2016). He described the distribution and morphological phenotype of microglia and also recognized that ramified cells transformed into rod or amoeboid microglia in different situations of brain disease or pathology. In the normal brain they have been considered as “resting microglia”, but recent findings point that microglia are the most sensitive sensors in the brain, constantly scanning the parenchyma environment as surveillant cells (Nimmerjahn…

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Deep Learning Architectures

AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures – Frontiers

Introduction Healthcare costs are rising, and patients need to manage their healthcare expenditures on medications (Bertsimas et al., 2008). Predicting medication cost in the future could help patients better manage patient-related healthcare expenditures (Zhao et al., 2001). To predict medication costs, one needs data concerning patients’ medicine-purchase patterns. Currently, there exist significant amounts of digital healthcare data that can provide helpful insights into healthcare expenditures, and these data could bring about positive changes in healthcare policymaking (Farley et al., 2006). Although there exist data, accessing these data is a major…

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Deep Learning Architectures

An Introductory Review of Deep Learning for Prediction Models With Big Data – Frontiers

1. Introduction We are living in the big data era where all areas of science and industry generate massive amounts of data. This confronts us with unprecedented challenges regarding their analysis and interpretation. For this reason, there is an urgent need for novel machine learning and artificial intelligence methods that can help in utilizing these data. Deep learning (DL) is such a novel methodology currently receiving much attention (Hinton et al., 2006). DL describes a family of learning algorithms rather than a single method that can be used to learn…

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