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Mohamed Abdelhack

Showing results (11-20 of 20) with videos related to

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JMIR Public Health and Surveillance|September 12, 2024
Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine LearningRoberta M Dolling-Boreham, Akshay Mohan, Mohamed Abdelhack, et al.
Nature Communications|December 1, 2023
Opposing brain signatures of sleep in task-based and resting-state conditionsMohamed Abdelhack, Peter Zhukovsky, Milos Milic, et al.
Journal of Affective Disorders|September 26, 2022
Sex-specific associations between lifetime diagnosis of bipolar disorder and cardiovascular disease: A cross-sectional analysis of 257,673 participants from the UK BiobankAbigail Ortiz, Marcos Sanches, Mohamed Abdelhack, et al.
JMIR Mental Health|October 27, 2021
Machine Learning-Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey StudyKatrina Hueniken, Nibene Habib Somé, Mohamed Abdelhack, et al.
Behavioral Sciences (Basel, Switzerland)|October 26, 2024
Examining the Role of Neuroticism Polygenic Risk in Late Life Cognitive Change: A UK Biobank StudyNiki Akbarian, Mahbod Ebrahimi, Fernanda C Dos Santos, et al.
Plos Computational Biology|March 1, 2024
Ten simple rules for pushing boundaries of inclusion at academic eventsSiobhan Mackenzie Hall, Daniel Kochin, Carmel Carne, et al.
Medrxiv : the Preprint Server for Health Sciences|June 3, 2024
Effect of Machine Learning on Anaesthesiology Clinician Prediction of Postoperative Complications: The Perioperative ORACLE Randomised Clinical TrialBradley A Fritz, Christopher R King, Mohamed Abdelhack, et al.
British Journal of Anaesthesia|September 11, 2024
Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trialBradley A Fritz, Christopher R King, Mohamed Abdelhack, et al.
British Journal of Anaesthesia|January 3, 2025
Effect of telemedicine support for intraoperative anaesthesia care on postoperative outcomes: the TECTONICS randomised clinical trialChristopher R King, Bradley A Fritz, Stephen H Gregory, et al.
Medrxiv : the Preprint Server for Health Sciences|June 3, 2024
Effect of Telemedicine Support for Intraoperative Anaesthesia Care on Postoperative Outcomes: The TECTONICS Randomised Clinical TrialChristopher R King, Bradley A Fritz, Stephen H Gregory, et al.
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Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
JMIR Public Health and Surveillance|September 12, 2024
Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine LearningRoberta M Dolling-Boreham, Akshay Mohan, Mohamed Abdelhack, et al.
Nature Communications|December 1, 2023
Opposing brain signatures of sleep in task-based and resting-state conditionsMohamed Abdelhack, Peter Zhukovsky, Milos Milic, et al.
Journal of Affective Disorders|September 26, 2022
Sex-specific associations between lifetime diagnosis of bipolar disorder and cardiovascular disease: A cross-sectional analysis of 257,673 participants from the UK BiobankAbigail Ortiz, Marcos Sanches, Mohamed Abdelhack, et al.
JMIR Mental Health|October 27, 2021
Machine Learning-Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey StudyKatrina Hueniken, Nibene Habib Somé, Mohamed Abdelhack, et al.
Behavioral Sciences (Basel, Switzerland)|October 26, 2024
Examining the Role of Neuroticism Polygenic Risk in Late Life Cognitive Change: A UK Biobank StudyNiki Akbarian, Mahbod Ebrahimi, Fernanda C Dos Santos, et al.
Plos Computational Biology|March 1, 2024
Ten simple rules for pushing boundaries of inclusion at academic eventsSiobhan Mackenzie Hall, Daniel Kochin, Carmel Carne, et al.
Medrxiv : the Preprint Server for Health Sciences|June 3, 2024
Effect of Machine Learning on Anaesthesiology Clinician Prediction of Postoperative Complications: The Perioperative ORACLE Randomised Clinical TrialBradley A Fritz, Christopher R King, Mohamed Abdelhack, et al.
British Journal of Anaesthesia|September 11, 2024
Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trialBradley A Fritz, Christopher R King, Mohamed Abdelhack, et al.
British Journal of Anaesthesia|January 3, 2025
Effect of telemedicine support for intraoperative anaesthesia care on postoperative outcomes: the TECTONICS randomised clinical trialChristopher R King, Bradley A Fritz, Stephen H Gregory, et al.
Medrxiv : the Preprint Server for Health Sciences|June 3, 2024
Effect of Telemedicine Support for Intraoperative Anaesthesia Care on Postoperative Outcomes: The TECTONICS Randomised Clinical TrialChristopher R King, Bradley A Fritz, Stephen H Gregory, et al.
Pageof 2