AIMC Topic: Logistic Models

Clear Filters Showing 561 to 570 of 1261 articles

Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study.

Computational and mathematical methods in medicine Jul 5, 2021
Accurate risk assessment of high-risk patients is essential in clinical practice. However, there is no practical method to predict or monitor the prognosis of patients with ST-segment elevation myocardial infarction (STEMI) complicated by hyperuricem...
Retrospective Studies Female Aged Male Humans Machine Learning Algorithms Prognosis Area Under Curve ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Hyperuricemia Heart Disease Risk Factors Middle Aged China Computational Biology Logistic Models
View on PubMed DOI

A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data.

Clinical nutrition (Edinburgh, Scotland) Jul 3, 2021
BACKGROUND AND AIMS: Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This s...
Middle Aged Nutrition Assessment Neoplasms Quality of Life Functional Status Diagnosis, Computer-Assisted Humans Severity of Illness Index Female Workflow China Machine Learning Aged Feasibility Studies Logistic Models Adult Malnutrition Cluster Analysis Male Nutritional Status
View on PubMed DOI

Prediction of preterm birth in nulliparous women using logistic regression and machine learning.

PloS one Jun 30, 2021
OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning.
Pregnancy Trimester, First Humans ROC Curve Female Machine Learning Pregnancy Trimester, Second Ontario Premature Birth Retrospective Studies Logistic Models Parity Pregnancy Area Under Curve Young Adult Adult
View on PubMed DOI

Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values.

PLoS computational biology Jun 23, 2021
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can benefit from novel approaches to epidemiology that leverage large datasets and complex machine-learning models, provide data-driven intelligence, and guid...
Logistic Models Patient Admission England Adolescent Child, Preschool Child Aged Aged, 80 and over Young Adult Adult Male Middle Aged Infant Comorbidity Severity of Illness Index Retrospective Studies Intensive Care Units Humans Female SARS-CoV-2 Machine Learning Risk Factors COVID-19
View on PubMed DOI

Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.

Cancer medicine Jun 10, 2021
BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to be an important therapeutic target in bladder cancer. FGFR-targeted therapies are effective for patients with FGFR mutation, which can be discovered ...
Neural Networks, Computer Databases, Factual Female Sensitivity and Specificity Male Humans Receptors, Fibroblast Growth Factor Receptor, Fibroblast Growth Factor, Type 3 Gene Expression Mutation Molecular Targeted Therapy Receptor, Fibroblast Growth Factor, Type 2 Deep Learning Logistic Models Lymphocytes, Tumor-Infiltrating Urinary Bladder Neoplasms
View on PubMed DOI

A novel stacking technique for prediction of diabetes.

Computers in biology and medicine Jun 8, 2021
BACKGROUND: Machine Learning (ML) represents a rapidly growing technology that supplies the most effective solutions for solving complex problems. The application of ML techniques in healthcare is gaining more attention because of ML-associated autom...
Humans Neural Networks, Computer Machine Learning Logistic Models Diabetes Mellitus Support Vector Machine
View on PubMed DOI

Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.

PloS one Jun 3, 2021
OBJECTIVE: This study aimed to develop and validate a claims-based, machine learning algorithm to predict clinical outcomes across both medical and surgical patient populations.
Medicare Mortality Logistic Models Humans United States Machine Learning Models, Theoretical Databases, Factual Retrospective Studies Treatment Outcome Area Under Curve Hospitalization Risk Assessment ROC Curve
View on PubMed DOI

Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study.

International journal of injury control and safety promotion Jun 1, 2021
A better understanding of injury severity risk factors is fundamental to improving crash prediction and effective implementation of appropriate mitigation strategies. Traditional statistical models widely used in this regard have predefined correlati...
Humans Machine Learning Algorithms Logistic Models Models, Statistical Accidents, Traffic
View on PubMed DOI

Comparing stress prediction models using smartwatch physiological signals and participant self-reports.

Computer methods and programs in biomedicine May 30, 2021
Recent advances in wearable technology have facilitated the non-obtrusive monitoring of physiological signals, creating opportunities to monitor and predict stress. Researchers have utilized machine learning methods using these physiological signals ...
Humans Machine Learning Wearable Electronic Devices Logistic Models Support Vector Machine Self Report
View on PubMed DOI

Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms.

Thrombosis and haemostasis May 28, 2021
BACKGROUND: There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, ...
Insurance Claim Review Middle Aged Risk Assessment Risk Factors Adolescent Machine Learning Humans Logistic Models Cohort Studies Algorithms United States Aged Prospective Studies Stroke Aged, 80 and over Female Medicare Adult Multimorbidity Male
View on PubMed DOI
Popular Topics
Recent Journals