Machine and deep learning for longitudinal biomedical data: a review of methods and applications
A Cascarano, J Mur-Petit… - Artificial Intelligence …, 2023 - Springer
Exploiting existing longitudinal data cohorts can bring enormous benefits to the medical
field, as many diseases have a complex and multi-factorial time-course, and start to develop …
field, as many diseases have a complex and multi-factorial time-course, and start to develop …
Deletion of ferritin H in neurons counteracts the protective effect of melatonin against traumatic brain injury‐induced ferroptosis
T Rui, H Wang, Q Li, Y Cheng, Y Gao… - Journal of Pineal …, 2021 - Wiley Online Library
Accumulating evidence demonstrates that ferroptosis may be important in the
pathophysiological process of traumatic brain injury (TBI). As a major hormone of the pineal …
pathophysiological process of traumatic brain injury (TBI). As a major hormone of the pineal …
Mechanism of ferroptosis and its relationships with other types of programmed cell death: insights for potential therapeutic benefits in traumatic brain injury
Q Pang, L Zheng, Z Ren, H Xu, H Guo… - Oxidative Medicine …, 2022 - Wiley Online Library
Traumatic brain injury (TBI) is a serious health issue with a high incidence, high morbidity,
and high mortality that poses a large burden on society. Further understanding of the …
and high mortality that poses a large burden on society. Further understanding of the …
Prognosis prediction in traumatic brain injury patients using machine learning algorithms
Predicting treatment outcomes in traumatic brain injury (TBI) patients is challenging
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
The application of data mining techniques to oral cancer prognosis
WT Tseng, WF Chiang, SY Liu, J Roan… - Journal of medical …, 2015 - Springer
This study adopted an integrated procedure that combines the clustering and classification
features of data mining technology to determine the differences between the symptoms …
features of data mining technology to determine the differences between the symptoms …
Mortality prediction in severe traumatic brain injury using traditional and machine learning algorithms
X Wu, Y Sun, X Xu, EW Steyerberg… - Journal of …, 2023 - liebertpub.com
Prognostic prediction of traumatic brain injury (TBI) in patients is crucial in clinical decision
and health care policy making. This study aimed to develop and validate prediction models …
and health care policy making. This study aimed to develop and validate prediction models …
[HTML][HTML] Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysm
A Monsalve-Torra, D Ruiz-Fernandez… - Journal of biomedical …, 2016 - Elsevier
An abdominal aortic aneurysm is an abnormal dilatation of the aortic vessel at abdominal
level. This disease presents high rate of mortality and complications causing a decrease in …
level. This disease presents high rate of mortality and complications causing a decrease in …
The detection of mild traumatic brain injury in paediatrics using artificial neural networks
Head computed tomography (CT) is the gold standard in emergency departments (EDs) to
evaluate mild traumatic brain injury (mTBI) patients, especially for paediatrics. Data-driven …
evaluate mild traumatic brain injury (mTBI) patients, especially for paediatrics. Data-driven …
Machine learning in the prediction of trauma outcomes: a systematic review
Study objective Machine learning models carry unique potential as decision-making aids
and prediction tools for improving patient care. Traumatically injured patients provide a …
and prediction tools for improving patient care. Traumatically injured patients provide a …
Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methods
Abstract Background Clinical prediction models (CPMs) predict the risk of health outcomes
for individual patients. The majority of existing CPMs only harness cross-sectional patient …
for individual patients. The majority of existing CPMs only harness cross-sectional patient …