AIMC Topic: Data Interpretation, Statistical

Clear Filters Showing 21 to 30 of 233 articles

Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review.

Journal of clinical epidemiology Nov 16, 2021
OBJECTIVES: Missing data is a common problem during the development, evaluation, and implementation of prediction models. Although machine learning (ML) methods are often said to be capable of circumventing missing data, it is unclear how these metho...
Models, Statistical Data Interpretation, Statistical Bias Humans Machine Learning Prognosis
View on PubMed DOI

Chemometric analysis in Raman spectroscopy from experimental design to machine learning-based modeling.

Nature protocols Nov 5, 2021
Raman spectroscopy is increasingly being used in biology, forensics, diagnostics, pharmaceutics and food science applications. This growth is triggered not only by improvements in the computational and experimental setups but also by the development ...
Humans Machine Learning Animals Mice Datasets as Topic Calibration Reference Standards Chemometrics Spectrum Analysis, Raman Models, Statistical Principal Component Analysis Data Interpretation, Statistical
View on PubMed DOI

Efficient Prediction of Missed Clinical Appointment Using Machine Learning.

Computational and mathematical methods in medicine Oct 22, 2021
Public health and its related facilities are crucial for thriving cities and societies. The optimum utilization of health resources saves money and time, but above all, it saves precious lives. It has become even more evident in the present as the pa...
Stochastic Processes Support Vector Machine Algorithms Humans Data Interpretation, Statistical Decision Trees Neural Networks, Computer Databases, Factual Bayes Theorem Area Under Curve Computational Biology Machine Learning Appointments and Schedules Logistic Models No-Show Patients
View on PubMed DOI

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.

BMJ (Clinical research ed.) Oct 20, 2021
OBJECTIVE: To assess the methodological quality of studies on prediction models developed using machine learning techniques across all medical specialties.
Bias Multivariate Analysis Risk Clinical Decision Rules Humans Machine Learning Models, Statistical Data Interpretation, Statistical
View on PubMed DOI

Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study.

PloS one Sep 15, 2021
BACKGROUND: Machine learning (ML) algorithms are now increasingly used in infectious disease epidemiology. Epidemiologists should understand how ML algorithms behave within the context of outbreak data where missingness of data is almost ubiquitous.
Research Design Hemorrhagic Fever, Ebola Humans Computer Simulation Data Interpretation, Statistical Machine Learning Disease Outbreaks Survival Analysis Models, Statistical Datasets as Topic
View on PubMed DOI

Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network.

NeuroImage Jul 9, 2021
Parametric imaging based on dynamic positron emission tomography (PET) has wide applications in neurology. Compared to indirect methods, direct reconstruction methods, which reconstruct parametric images directly from the raw PET data, have superior ...
Neural Networks, Computer Brain Female Male Humans Image Processing, Computer-Assisted Data Interpretation, Statistical Positron-Emission Tomography
View on PubMed DOI

Application of Physical Examination Data on Health Analysis and Intelligent Diagnosis.

BioMed research international Jun 13, 2021
Analysis and diagnosis according to the collected physical data are an important part in the physical examination. Through the data analysis of the physical examination results and expert diagnoses, the physical condition of a specific physical exami...
Signal Processing, Computer-Assisted Pattern Recognition, Automated Logic Statistics as Topic Physical Examination Body Mass Index Fuzzy Logic Models, Statistical Data Interpretation, Statistical Humans Algorithms Artificial Intelligence Reproducibility of Results Machine Learning Diagnosis, Computer-Assisted
View on PubMed DOI

Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.

Respiratory medicine May 26, 2021
OBJECTIVE: The ability to predict impending asthma exacerbations may allow better utilization of healthcare resources, prevention of hospitalization and improve patient outcomes. We aimed to develop models using machine learning to predict risk of ex...
Status Asthmaticus Comorbidity Adolescent Cohort Studies Models, Theoretical Data Interpretation, Statistical Environmental Exposure Risk Male Humans Middle Aged Machine Learning Risk Assessment Hospitalization Forecasting Disease Progression Young Adult Female Adult Sweden
View on PubMed DOI

Spectroscopic and deep learning-based approaches to identify and quantify cerebral microhemorrhages.

Scientific reports May 21, 2021
Cerebral microhemorrhages (CMHs) are associated with cerebrovascular disease, cognitive impairment, and normal aging. One method to study CMHs is to analyze histological sections (5-40 μm) stained with Prussian blue. Currently, users manually and sub...
ROC Curve Image Processing, Computer-Assisted Cerebral Hemorrhage Data Interpretation, Statistical Humans Deep Learning Disease Management Spectrum Analysis
View on PubMed DOI

Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation.

PloS one May 21, 2021
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial. In this paper, to establish a...
Humans Databases, Factual Tissue and Organ Procurement Histocompatibility Testing Data Interpretation, Statistical Tissue Donors Bayes Theorem Liver Transplantation Logistic Models Transplant Recipients Support Vector Machine
View on PubMed DOI
Popular Topics
Recent Journals