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Artificial intelligence

Developing machine learning models to predict multi-class functional outcomes and death three months after stroke in Sweden

Josline Adhiambo Otieno, Jenny Häggström, David Darehed, Marie Eriksson

Artificial neural network, machine learning modelling of compressive strength of recycled coarse aggregate based self-compacting concrete

P. Jagadesh, Afzal Hussain Khan, [ ... ], Omer Y. Bakather

Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning

Sona M. Al Younis, Leontios J. Hadjileontiadis, [ ... ], Konstantinos Tsioufis

Hspb1 and Lgals3 in spinal neurons are closely associated with autophagy following excitotoxicity based on machine learning algorithms

Lei Yan, Zihao Li, [ ... ], Zhiming Cui

Professional regulation in the digital era: A qualitative case study of three professions in Ontario, Canada

Kathleen Leslie, Sophia Myles, [ ... ], Tracey L. Adams

Explainable machine learning approach for cancer prediction through binarilization of RNA sequencing data

Tianjie Chen, Md Faisal Kabir

BACK-to-MOVE: Machine learning and computer vision model automating clinical classification of non-specific low back pain for personalised management

Thomas Hartley, Yulia Hicks, [ ... ], Liba Sheeran

Exploring trends and autonomy levels of adaptive business intelligence in healthcare: A systematic review

João Lopes, Mariana Faria, Manuel Filipe Santos

Multi-Input data ASsembly for joint Analysis (MIASA): A framework for the joint analysis of disjoint sets of variables

Nomenjanahary Alexia Raharinirina, Vikram Sunkara, [ ... ], Marcus Weber

A novel code representation for detecting Java code clones using high-level and abstract compiled code representations

Fahmi H. Quradaa, Sara Shahzad, Rashad Saeed, Mubarak M. Sufyan

Lumbar spine MRI annotation with intervertebral disc height and Pfirrmann grade predictions

Friska Natalia, Sud Sudirman, Daniel Ruslim, Ala Al-Kafri

Tourism marketing in the metaverse: A systematic literature review, building blocks, and future research directions

Eva Sánchez-Amboage, Verónica Crespo-Pereira, Matías Membiela-Pollán, João Paulo Jesús Faustino

Predicting drug–Protein interaction with deep learning framework for molecular graphs and sequences: Potential candidates against SAR-CoV-2

Weian Du, Liang Zhao, [ ... ], Ge Shi

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