Neurocritical Care: Bench to Bedside (Eds. Claude Hemphill, Michael James) Integrating and Using Big Data in Neurocritical Care

Abstract

The critical care environment drives huge volumes of data, and clinicians are tasked with quickly processing this data and responding to it urgently. The neurocritical care environment increasingly involves EEG, multimodal intracranial monitoring, and complex imaging which preclude comprehensive human synthesis, and requires new concepts to integrate data into clinical care. By definition, Big Data is data that cannot be handled using traditional infrastructures and is characterized by the volume, variety, velocity, and variability of the data being produced. Big Data in the neurocritical care unit requires rethinking of data storage infrastructures and the development of tools and analytics to drive advancements in the field. Preprocessing, feature extraction, statistical inference, and analytic tools are required in order to achieve the primary goals of Big Data for clinical use: description, prediction, and prescription. Barriers to its use at bedside include a lack of infrastructure development within the healthcare industry, lack of standardization of data inputs, and ultimately existential and scientific concerns about the outputs that result from the use of tools such as artificial intelligence. However, as implied by the fundamental theorem of biomedical informatics, physicians remain central to the development and utility of Big Data to improve patient care.

Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models

“…[44]. Importantly, the lateral (W = 4.4 mm) and longitudinal (L = 6.8 mm) dimensions predicted from the present model were found to be in good agreement with those of [44], which were reported to be around 4 mm and 7 mm, respectively. Additionally, the longitudinal extension of the ablation zone dimensions (corresponding to 50 °C isotherm) in the forward direction from the tip point of electrode and in backward direction from the insulation margin was found to be about 1 mm, analogous to that presented in [44].…”

“…Additionally, the longitudinal extension of the ablation zone dimensions (corresponding to 50 • C isotherm) in the forward direction from the tip point of electrode and in backward direction from the insulation margin was found to be about 1 mm, analogous to that presented in [45]. [44]. Importantly, the lateral (W = 4.4 mm) and longitudinal (L = 6.8 mm) dimensions predicted from the present model were found to be in good agreement with those of [44], which were reported to be around 4 mm and 7 mm, respectively.…”

“…The developed computational model's fidelity and integrity were evaluated by comparing the simulated results of the present model with that of previously reported experimental and numerical findings reported in [44]. All the material properties, dimensions, initial and boundary conditions were considered similar to those of [44]. Table 2 presents the comparative analysis of the rise in temperature (ΔT, i.e., the difference between the attained temperature after 120 s of RF procedure and the ambient temperature), that was simulated/computed from the present numerical study to that of the experimental and numerical findings of [44].…”

“…The developed computational model's fidelity and integrity were evaluated by comparing the simulated results of the present model with that of previously reported experimental and numerical findings reported in [44]. All the material properties, dimensions, initial and boundary conditions were considered similar to those of [44].…”

“…All the material properties, dimensions, initial and boundary conditions were considered similar to those of [44]. Table 2 presents the comparative analysis of the rise in temperature (ΔT, i.e., the difference between the attained temperature after 120 s of RF procedure and the ambient temperature), that was simulated/computed from the present numerical study to that of the experimental and numerical findings of [44]. As presented in Table 2, the rise in temperature (ΔT) predicted by the present numerical study after 120 s of RF procedure for different considered cases was found to be in reasonable agreement with the experimental and numerical…”