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Action prediction in psychosis
Aberrant motor-sensory predictive functions have been linked to symptoms of psychosis, particularly reduced attenuation of self-generated sensations...
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Individualized prediction models in ADHD: a systematic review and meta-regression
There have been increasing efforts to develop prediction models supporting personalised detection, prediction, or treatment of ADHD. We overviewed...
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Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy
BackgroundThere are many Machine Learning (ML) models which predict acute kidney injury (AKI) for hospitalised patients. While a primary goal of...
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Online advance respiration prediction model for percutaneous puncture robotics
PurposeSurgical robots have significant research value and clinical significance in the field of percutaneous punctures. There have been numerous...
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Empirical evaluation of internal validation methods for prediction in large-scale clinical data with rare-event outcomes: a case study in suicide risk prediction
BackgroundThere is increasing interest in clinical prediction models for rare outcomes such as suicide, psychiatric hospitalizations, and opioid...
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Multi-omic prediction of incident type 2 diabetes
Aims/hypothesisThe identification of people who are at high risk of developing type 2 diabetes is a key part of population-level prevention...
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Hematoma expansion prediction based on SMOTE and XGBoost algorithm
Hematoma expansion (HE) is a high risky symptom with high rate of occurrence for patients who have undergone spontaneous intracerebral hemorrhage...
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Novel alternative tools for metastatic pheochromocytomas/paragangliomas prediction
ObjectiveThe existing prediction models for metastasis in pheochromocytomas/paragangliomas (PPGLs) showed high heterogeneity in different centers....
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Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning
BackgroundCesarean section-induced postpartum hemorrhage (PPH) potentially causes anemia and hypovolemic shock in pregnant women. Hence, it is...
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Prediction models for amputation after diabetic foot: systematic review and critical appraisal
BackgroundNumerous studies have developed or validated prediction models aimed at estimating the likelihood of amputation in diabetic foot (DF)...
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Artificial intelligence universal biomarker prediction tool
Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand...
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Prediction of Morbidity and Mortality After Esophagectomy: A Systematic Review
BackgroundEsophagectomy for esophageal cancer has a complication rate of up to 60%. Prediction models could be helpful to preoperatively estimate...
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Clinical prediction models and the multiverse of madness
BackgroundEach year, thousands of clinical prediction models are developed to make predictions (e.g. estimated risk) to inform individual diagnosis...
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Pre-operative lung ablation prediction using deep learning
ObjectiveMicrowave lung ablation (MWA) is a minimally invasive and inexpensive alternative cancer treatment for patients who are not candidates for...
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Prediction of preeclampsia using maternal circulating mRNAs in early pregnancy
PurposePreeclampsia (PE) is one of the most common and serious complications of pregnancy, and novel methods for the early prediction of PE are...
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Anxiety onset in adolescents: a machine-learning prediction
Recent longitudinal studies in youth have reported MRI correlates of prospective anxiety symptoms during adolescence, a vulnerable period for the...
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Prediction of Alzheimer’s Disease Based on 3D Genome Selected circRNA
Alzheimer’s disease (AD) is a neurodegenerative disease and there is by far no effective treatment for it, especially in its late stage. Circular...
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Personalized mood prediction from patterns of behavior collected with smartphones
Over the last ten years, there has been considerable progress in using digital behavioral phenotypes, captured passively and continuously from...
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Clinical evaluation of a machine learning-based dysphagia risk prediction tool
PurposeThe rise of digitization promotes the development of screening and decision support tools. We sought to validate the results from a machine...
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Prediction of influenza outbreaks in Fuzhou, China: comparative analysis of forecasting models
BackgroundInfluenza is a highly contagious respiratory disease that presents a significant challenge to public health globally. Therefore, effective...
