AIMC Topic: Models, Statistical

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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 Feb 25, 2025
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 ...
Deep Learning China Incidence Acquired Immunodeficiency Syndrome Models, Statistical Humans Forecasting
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Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review.

Journal of clinical anesthesia Feb 19, 2025
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...
Models, Statistical Machine Learning Perioperative Care Perioperative Medicine Algorithms Humans
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Scale-independent solid fraction prediction in dry granulation process using a gray-box model integrating machine learning model and Johanson model.

International journal of pharmaceutics Feb 15, 2025
We propose a novel approach for predicting the solid fraction after roller compaction processes. It is crucial to predict and control the solid fraction, as it has a significant impact on the product quality. The solid fraction can be theoretically p...
Chemistry, Pharmaceutical Machine Learning Models, Statistical Particle Size Powders Drug Compounding Technology, Pharmaceutical
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Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models.

International journal of computer assisted radiology and surgery Feb 14, 2025
PURPOSE: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical p...
Deep Learning Imaging, Three-Dimensional Models, Statistical Humans Tomography, X-Ray Computed Nonlinear Dynamics Femur
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Prediction models for treatment response in migraine: a systematic review and meta-analysis.

The journal of headache and pain Feb 12, 2025
BACKGROUND: Migraine is a complex neurological disorder with significant clinical variability, posing challenges for effective management. Multiple treatments are available for migraine, but individual responses vary widely, making accurate predictio...
Machine Learning Models, Statistical Migraine Disorders Humans Outcome Assessment, Health Care
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Classification and regression machine learning models for predicting mixed toxicity of carbamazepine and its transformation products.

Environmental research Feb 8, 2025
Carbamazepine (CBZ) and its transformation products (TPs) often occur in aquatic environments in the form of mixtures, posing potential risks to ecosystems. However, establishing standardized protocols for synthesizing, isolating, and acquiring these...
Acridines Models, Statistical Vibrio Toxicity Tests Machine Learning Regression Analysis Quantitative Structure-Activity Relationship Water Pollutants, Chemical Carbamazepine Anticonvulsants Proflavine
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models.

BMC medical informatics and decision making Feb 3, 2025
INTRODUCTION: Renal transplantation is a critical treatment for end-stage renal disease, but graft failure remains a significant concern. Accurate prediction of graft survival is crucial to identify high-risk patients. This study aimed to develop pro...
Prognosis Female Adult Humans Machine Learning Kidney Transplantation Ethiopia Models, Statistical Kidney Failure, Chronic Male Middle Aged Graft Survival
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AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.

BMC pregnancy and childbirth Jan 30, 2025
BACKGROUND: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a l...
Fetal Growth Retardation Infant, Newborn Prospective Studies Risk Assessment Perinatal Mortality Risk Factors Pregnancy Humans Models, Statistical Adult Artificial Intelligence Female Stillbirth
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Prediction of mortality in heart failure by machine learning. Comparison with statistical modeling.

European journal of internal medicine Jan 28, 2025
BACKGROUND: Assessing the relative performance of machine learning (ML) methods and conventional statistical methods in predicting prognosis in heart failure (HF) still remains a challenging research field.
Machine Learning Prognosis Female Humans Logistic Models Aged Models, Statistical Male Heart Failure Middle Aged
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Sexual dimorphism of the humerus bones in a French sample: comparison of several statistical models including machine learning models.

International journal of legal medicine Jan 25, 2025
Sex estimation is an important part of skeletal analysis and forensic identification. Traditionally pelvic traits are utilized for accurate sex estimation. However, the long bones, especially humerus, have been proved to be as effective for determine...
Male Middle Aged Logistic Models Support Vector Machine Models, Statistical Female Forensic Anthropology Discriminant Analysis France Humans Young Adult Sex Determination by Skeleton Neural Networks, Computer Adult Humerus Machine Learning
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