AIMC Topic: Longitudinal Studies

Clear Filters Showing 351 to 360 of 516 articles

Estrous detection by continuous measurements of vaginal temperature and conductivity with supervised machine learning in cattle.

Theriogenology Sep 27, 2018
This study aimed to evaluate the effectiveness of estrous detection technique based on continuous measurements of vaginal temperature (VT) and conductivity (VC) with supervised machine learning in cattle. The VT and VC of 17 cows in tie-stalls were m...
Monitoring, Physiologic Supervised Machine Learning Body Temperature Sexual Behavior, Animal Female Estrus Reproducibility of Results Animals Cattle Longitudinal Studies
View on PubMed DOI

Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

Journal of biomedical informatics Sep 18, 2018
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a serious problem. This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.
Inpatients Patient Readmission Risk North Carolina Outpatients ROC Curve Logistic Models Support Vector Machine Longitudinal Studies Regression Analysis Rehabilitation Preventive Medicine Hospitalization Aged Sensitivity and Specificity Humans Male Middle Aged Machine Learning Algorithms Retrospective Studies Female
View on PubMed DOI

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.

Journal of biomedical informatics Sep 4, 2018
Accurate and reliable prediction of clinical progression over time has the potential to improve the outcomes of chronic disease. The classical approach to analyzing longitudinal data is to use (generalized) linear mixed-effect models (GLMM). However,...
Adult Disease Progression Humans Diabetes Mellitus, Type 2 Machine Learning Longitudinal Studies Algorithms Glycated Hemoglobin
View on PubMed DOI

Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?

Journal of behavioral medicine Aug 25, 2018
Behavioral weight loss (WL) trials show that, on average, participants regain lost weight unless provided long-term, intensive-and thus costly-intervention. Optimization solutions have shown mixed success. The artificial intelligence principle of "re...
Middle Aged Weight Loss Longitudinal Studies Obesity Text Messaging Reinforcement, Psychology Behavior Therapy Weight Reduction Programs Artificial Intelligence Female Aged Adult Male Humans
View on PubMed DOI

Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.

Journal of magnetic resonance imaging : JMRI Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Insulin Resistance Longitudinal Studies Humans Magnetic Resonance Imaging Machine Learning Middle Aged Brain Mapping Cognition Disorders Prospective Studies Aged Severity of Illness Index Perfusion Aged, 80 and over Brain Linear Models Pilot Projects Cross-Sectional Studies Female Diabetes Mellitus, Type 2 Male Imaging, Three-Dimensional
View on PubMed DOI

Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.

International journal of oral and maxillofacial surgery Aug 4, 2018
This observational study aimed to use artificial intelligence to describe the impact of orthognathic treatment on facial attractiveness and age appearance. Pre- and post-treatment photographs (n=2164) of 146 consecutive orthognathic patients were col...
Humans Artificial Intelligence Photography Esthetics Longitudinal Studies Malocclusion, Angle Class II Algorithms Osteotomy Malocclusion, Angle Class III Retrospective Studies Open Bite Face Female Facial Asymmetry Adult Orthognathic Surgical Procedures Male
View on PubMed DOI

Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Treatment Outcome Longitudinal Studies Health Status Inpatients Recovery of Function Biomarkers Female Male Time Factors Cognition Linear Models Motor Skills Leukocyte Count Motor Activity Stroke Rehabilitation Predictive Value of Tests Disability Evaluation Stroke Hematocrit Inflammation Mediators Humans Machine Learning Decision Support Techniques
View on PubMed DOI

Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study.

Journal of medical Internet research Jul 9, 2018
BACKGROUND: Dementia is increasing in prevalence worldwide, yet frequently remains undiagnosed, especially in low- and middle-income countries. Population-based surveys represent an underinvestigated source to identify individuals at risk of dementia...
Longitudinal Studies Unsupervised Machine Learning Validation Studies as Topic Female Humans Male Middle Aged Prevalence Dementia
View on PubMed DOI

Bioimpedance and New-Onset Heart Failure: A Longitudinal Study of >500 000 Individuals From the General Population.

Journal of the American Heart Association Jun 29, 2018
BACKGROUND: Heart failure constitutes a high burden on patients and society, but although lifetime risk is high, it is difficult to predict without costly or invasive testing. We aimed to establish new risk factors of heart failure, which potentially...
Longitudinal Studies Humans Prospective Studies Age Factors Male Prognosis Machine Learning Body Composition Sex Factors Female Decision Support Techniques Middle Aged Myocardial Infarction Electric Impedance Risk Factors Risk Assessment Heart Failure United Kingdom Aged Incidence Leg Time Factors
View on PubMed DOI

Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning.

Journal of child psychology and psychiatry, and allied disciplines Apr 30, 2018
BACKGROUND: Adolescents have high rates of nonfatal suicide attempts, but clinically practical risk prediction remains a challenge. Screening can be time consuming to implement at scale, if it is done at all. Computational algorithms may predict suic...
Longitudinal Studies Self-Injurious Behavior Male Risk Assessment Suicide, Attempted Humans Depression Machine Learning Adolescent Retrospective Studies Female
View on PubMed DOI
Popular Topics
Recent Journals