Electronic health records based reinforcement learning for treatment optimizing

T Li, Z Wang, W Lu, Q Zhang, D Li - Information Systems, 2022 - Elsevier
… levels, which leads to intensive care unit(ICU) admission [39]. … optimization, we designed
two evaluation indicators. One is … Furthermore, we explore the differences of treatment

CapsNet topology to classify tumours from brain images and comparative evaluation

E Goceri - IET Image Processing, 2020 - Wiley Online Library
… this work is based on the CapsNet architecture given in [44], … and routing have been computed
in a specific receptive field. … the proposed method does not require any manual operation …

Survey of interoperability in electronic health records management and proposed blockchain based framework: MyBlockEHR

RG Sonkamble, SP Phansalkar, VM Potdar… - IEEE …, 2021 - ieeexplore.ieee.org
… of health data was possible by integrating wearable Internet of … The comparative analysis
between these two standards from … Our architecture proposes a validation scheme that will …

Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles

P Saiteja, B Ashok - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
… meeting driver's power requirements by exploring optimal EMS… been compared and examined,
including an evaluation of … [31], the evaluation between various charge satisfying modes …

[HTML][HTML] The Internet of Things (IoT) in healthcare: Taking stock and moving forward

A Rejeb, K Rejeb, H Treiblmaier, A Appolloni… - Internet of Things, 2023 - Elsevier
… a full comparison of evaluation techniques, tools, and metrics … several facets of healthcare
IoT architecture, the barriers to … team were involved in the manual screening of the remaining …

[HTML][HTML] Foundation models for generalist medical artificial intelligence

M Moor, O Banerjee, ZSH Abad, HM Krumholz… - Nature, 2023 - nature.com
… and validating AI devices for medicine and will shift practices … In addition, the model must
be able to compare potential … draft documents such as electronic notes and discharge reports …

An accurate and dynamic predictive model for a smart M-Health system using machine learning

KN Qureshi, S Din, G Jeon, F Piccialli - Information Sciences, 2020 - Elsevier
Electronic Health Records (EHR), Mobile Health Systems (M-… The 4-fold cross-validation
method is used to test the model. … of the proposed model in comparison with the SVM, DT, KNN …

[HTML][HTML] AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

P Soda, NC D'Amico, J Tessadori, G Valbusa… - Medical image …, 2021 - Elsevier
… Indeed, further to induce lower radiation dose than computed … Furthermore, for the sake of
an easy and fair comparison and … both ordinary wards and intensive care units. The few papers …

Developing an online data-driven approach for prognostics and health management of lithium-ion batteries

S Khaleghi, MS Hosen, D Karimi, H Behi, SH Beheshti… - Applied Energy, 2022 - Elsevier
… are used to validate the generalization of their method on … of various reference components
is computed. Finally, the RUL of … the proposed method for health prognostic is compared with …

AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
… for fog/edge computing has been proposed and compared the existing techniques based …
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