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Prediction Model for Severe Thrombocytopenia Induced by Gemcitabine Plus Cisplatin Combination Therapy in Patients with Urothelial Cancer
BackgroundChemotherapy-induced thrombocytopenia is often a use-limiting adverse reaction to gemcitabine and cisplatin (GC) combination chemotherapy,...
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A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records
BackgroundPrevious models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine...
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The risk prediction of intergenerational transmission of overweight and obesity between mothers and infants during pregnancy
BackgroundOverweight and obesity in mothers before pregnancy lead to overweight and obesity in their offspring, which is the main form of...
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Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study
BackgroundPrediction of lymph node metastasis (LNM) is critical for individualized management of papillary thyroid carcinoma (PTC) patients to avoid...
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Construction of risk prediction model for hyponatremia in patients with acute decompensated heart failure
BackgroundPatients with Heart failure (HF) commonly have a water-electrolyte imbalance due to various reasons and mechanisms, and hyponatremia is one...
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Study on risk factors of carotid atherosclerosis in type 2 diabetes mellitus and development of prediction model
BackgroundDiabetes mellitus is a metabolic disease, characterized by chronic hyperglycemia that increases the risk of cardiovascular and...
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Prediction of specific structural damage to the knee joint using qualitative isokinetic analysis
BackgroundAn isokinetic moment curve (IMC) pattern-damaged structure prediction model may be of considerable value in assisting the diagnosis of knee...
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Weighted metrics are required when evaluating the performance of prediction models in nested case–control studies
BackgroundNested case–control (NCC) designs are efficient for develo** and validating prediction models that use expensive or difficult-to-obtain...
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A sco** review of artificial intelligence-based methods for diabetes risk prediction
The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health complications highlight the need to develop predictive models...
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Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Machine learning (ML) has emerged as a promising tool to enhance suicidal prediction. However, as many large-sample studies mixed psychiatric and...
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AI algorithms for accurate prediction of osteoporotic fractures in patients with diabetes: an up-to-date review
Osteoporotic fractures impose a substantial burden on patients with diabetes due to their unique characteristics in bone metabolism, limiting the...
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Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence
ObjectivesThis study intends to build an artificial intelligence model for obstetric cesarean section surgery to evaluate the intraoperative blood...
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Personalized venlafaxine dose prediction using artificial intelligence technology: a retrospective analysis based on real-world data
BackgroundVenlafaxine dose regimens vary considerably between individuals, requiring personalized dosing.
AimThis study aimed to identify...
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In-silico prediction of dislodgeable foliar residues and regulatory implications for plant protection products
BackgroundWhen experimentally determined dislodgeable foliar residue (DFR) values are not available, regulatory agencies use conservative default DFR...
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Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like...
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Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study
BackgroundSelective fetal growth restriction (sFGR) is an extreme complication that significantly increases the risk of perinatal mortality and...
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Frailty, but not cognitive impairment, improves mortality risk prediction among those with chronic kidney disease—a nationally representative study
BackgroundThough older adults with chronic kidney disease (CKD) have a greater mortality risk than those without CKD, traditional risk factors poorly...
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A novel prediction model of pancreatic fistula after pancreaticoduodenectomy using only preoperative markers
BackgroundSince clinically relevant postoperative pancreatic fistula (CR-POPF) can cause intra-abdominal hemorrhage and abscesses, leading to...
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Risk prediction for preeclampsia in CKD patients: development of a model in a retrospective cohort
BackgroundChronic kidney disease (CKD) may affect women of childbearing age and may lead to substantial maternal and foetal morbidity and...
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Validation of a prediction model for early reconnection after cryoballoon ablation
BackgroundWe previously developed an early reconnection/dormant conduction (ERC) prediction model for cryoballoon ablation to avoid a 30-min waiting...
