AIMC Topic: Models, Statistical

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Computational frameworks integrating deep learning and statistical models in mining multimodal omics data.

Journal of biomedical informatics Mar 28, 2024
BACKGROUND: In health research, multimodal omics data analysis is widely used to address important clinical and biological questions. Traditional statistical methods rely on the strong assumptions of distribution. Statistical methods such as testing ...
Algorithms Deep Learning Models, Statistical Genomics Computational Biology
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Model-agnostic explanations for survival prediction models.

Statistics in medicine Mar 26, 2024
Advanced machine learning methods capable of capturing complex and nonlinear relationships can be used in biomedical research to accurately predict time-to-event outcomes. However, these methods have been criticized as "black boxes" that are not inte...
Prostatic Neoplasms Survival Analysis Machine Learning Humans Computer Simulation Male Models, Statistical
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A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes.

Statistical methods in medical research Mar 19, 2024
Observational data (e.g. electronic health records) has become increasingly important in evidence-based research on dynamic treatment regimes, which tailor treatments over time to patients based on their characteristics and evolving clinical history....
Humans Machine Learning Treatment Outcome Carcinoma, Non-Small-Cell Lung Models, Statistical Electronic Health Records Lung Neoplasms
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What they forgot to tell you about machine learning with an application to pharmaceutical manufacturing.

Pharmaceutical statistics Feb 28, 2024
Predictive models (a.k.a. machine learning models) are ubiquitous in all stages of drug research, safety, development, manufacturing, and marketing. The results of these models are used inside and outside of pharmaceutical companies for the purpose o...
Humans Machine Learning Models, Statistical Drug Industry
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Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models.

PloS one Feb 23, 2024
BACKGROUND: Gross domestic product (GDP) serves as a crucial economic indicator for measuring a country's economic growth, exhibiting both linear and non-linear trends. This study aims to analyze and propose an efficient and accurate time series appr...
Models, Statistical Neural Networks, Computer Gross Domestic Product Incidence Forecasting Time Factors
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Using spatio-temporal graph neural networks to estimate fleet-wide photovoltaic performance degradation patterns.

PloS one Feb 14, 2024
Accurate estimation of photovoltaic (PV) system performance is crucial for determining its feasibility as a power generation technology and financial asset. PV-based energy solutions offer a viable alternative to traditional energy resources due to t...
Neural Networks, Computer Models, Statistical
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Predicting pedestrian-involved crash severity using inception-v3 deep learning model.

Accident; analysis and prevention Jan 13, 2024
This research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash severity using data collected over five years (2016-2021) from Louisiana. The final dataset incorporates forty different variables related to pedestrian at...
Wounds and Injuries Humans Algorithms Pedestrians Deep Learning Accidents, Traffic Models, Statistical
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Illusory generalizability of clinical prediction models.

Science (New York, N.Y.) Jan 11, 2024
It is widely hoped that statistical models can improve decision-making related to medical treatments. Because of the cost and scarcity of medical outcomes data, this hope is typically based on investigators observing a model's success in one or two d...
Antipsychotic Agents Models, Statistical Schizophrenia Adult Humans Child Male Machine Learning Treatment Outcome Middle Aged Prognosis Adolescent Aged, 80 and over Female Young Adult Aged
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Probabilistic Motion Prediction and Skill Learning for Human-to-Cobot Dual-Arm Handover Control.

IEEE transactions on neural networks and learning systems Jan 4, 2024
In this article, we focus on human-to-cobot dual-arm handover operations for large box-type objects. The efficiency of handover operations should be ensured and the naturalness as if the handover is going on between two humans. First of all, we study...
Models, Statistical Movement Humans Neural Networks, Computer Learning
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Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model.

Scientific reports Dec 28, 2023
Climatic factors influence malaria transmission via the effect on the Anopheles vector and Plasmodium parasite. Modelling and understanding the complex effects that climate has on malaria incidence can enable important early warning capabilities. Dee...
Climate Models, Statistical Animals Mosquito Vectors Malaria Deep Learning
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