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Models, Statistical

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Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

PloS one 40067789
INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchitectural deterioration, leading to increased fracture risk, is a significant health concern. Traditional diagnostic methods, such as Dual-energy X-ray A...
Absorptiometry, Photon Bone and Bones Bone Density Humans Machine Learning Models, Statistical Osteoporosis Systematic Reviews as Topic
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Individualized multi-treatment response curves estimation using RBF-net with shared neurons.

Biometrics 40037600
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm...
Algorithms Bayes Theorem Biometry Computer Simulation Humans Intensive Care Units Length of Stay Markov Chains Models, Statistical Monte Carlo Method Neural Networks, Computer Organ Dysfunction Scores Precision Medicine Sepsis Statistics, Nonparametric Treatment Outcome
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AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data.

Mathematical biosciences and engineering : MBE 40083282
In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory diseases is challenging due to similar symptoms and the prevalence of comorbidities. In Yemen, acute comorbidities further complicate the differentiation bet...
Algorithms Artificial Intelligence Comorbidity COVID-19 Decision Trees Deep Learning Forecasting Humans Machine Learning Models, Statistical Pandemics Respiratory Tract Diseases SARS-CoV-2 Severity of Illness Index Support Vector Machine Yemen
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Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models.

BMC public health 40001115
OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence region for AIDS in China. The core of prevention and control lies in early monitoring and early warning. This study aims to identify the best model for ...
Acquired Immunodeficiency Syndrome China Deep Learning Forecasting Humans Incidence Models, Statistical
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A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Analysis of Québec Administrative Data.

Statistics in medicine 39985144
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiveness (VE), has recently become integral to COVID-19 vaccine surveillance, notably in Québec, Canada. Some studies have addressed the identifiability ...
Aged COVID-19 COVID-19 Vaccines Humans Machine Learning Middle Aged Models, Statistical Quebec SARS-CoV-2 Vaccine Efficacy
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Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review.

Journal of clinical anesthesia 39977974
Prediction of outcomes in perioperative medicine is key to decision-making and various prediction models have been created to help quantify and communicate those risks to both patients and clinicians. Increasingly, machine learning (ML) is being favo...
Algorithms Humans Machine Learning Models, Statistical Perioperative Care Perioperative Medicine
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Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video.

Neural networks : the official journal of the International Neural Network Society 40086135
Abnormal behavior detection in surveillance video, as one of the essential functions in the intelligent surveillance system, plays a vital role in anti-terrorism, maintaining stability, and ensuring social security. Aiming at the problem of extremely...
Algorithms Humans Memory Models, Statistical Neural Networks, Computer Probability Video Recording
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Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time-To-Event Outcomes.

Statistics in medicine 40079648
Targeted maximum likelihood estimation (TMLE) is an increasingly popular framework for the estimation of causal effects. It requires modeling both the exposure and outcome but is doubly robust in the sense that it is valid if at least one of these mo...
Causality Humans Likelihood Functions Machine Learning Models, Statistical Proportional Hazards Models
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Introduction of a hybrid approach based on statistical shape model and Adaptive Neural Fuzzy Inference System (ANFIS) to assess dosimetry uncertainty: A Monte Carlo study.

Computers in biology and medicine 40068491
The increasing use of ionizing radiation has raised concerns about adverse and long-term health risks for individuals. Therefore, to evaluate the range of risks and protection against ionizing radiation, it is necessary to assess the dosimetry calcul...
Fuzzy Logic Humans Lung Models, Statistical Monte Carlo Method Phantoms, Imaging Radiometry Uncertainty
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Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review.

BMJ open 40032385
OBJECTIVES: To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models.
Female Humans Machine Learning Models, Statistical Postpartum Hemorrhage Pregnancy Risk Factors
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