AIMC Topic: Logistic Models

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Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Female Aged Male Risk Assessment Machine Learning Algorithms Retrospective Studies Electronic Health Records Logistic Models Support Vector Machine Bayes Theorem United Kingdom State Medicine Case-Control Studies Dementia Primary Health Care Computational Biology Humans Neural Networks, Computer
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Machine learning-based dynamic mortality prediction after traumatic brain injury.

Scientific reports Nov 27, 2019
Our aim was to create simple and largely scalable machine learning-based algorithms that could predict mortality in a real-time fashion during intensive care after traumatic brain injury. We performed an observational multicenter study including adul...
Humans Machine Learning Adult Glasgow Coma Scale Logistic Models Prognosis Male Brain Injuries, Traumatic Middle Aged Intensive Care Units Intracranial Pressure ROC Curve Female Cerebrovascular Circulation Aged
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Real-time crash risk prediction on arterials based on LSTM-CNN.

Accident; analysis and prevention Nov 26, 2019
Real-time crash risk prediction is expected to play a crucial role in preventing traffic accidents. However, most existing studies only focus on freeways rather than urban arterials. This paper proposes a real-time crash risk prediction model on arte...
Humans Neural Networks, Computer Logistic Models Bayes Theorem Accidents, Traffic
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Machine learning techniques for protein function prediction.

Proteins Nov 14, 2019
Proteins play important roles in living organisms, and their function is directly linked with their structure. Due to the growing gap between the number of proteins being discovered and their functional characterization (in particular as a result of ...
Computational Biology Logistic Models Humans Proteins Multifactor Dimensionality Reduction Amino Acids Neural Networks, Computer Structure-Activity Relationship Machine Learning Saccharomyces cerevisiae
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Prospective prediction of suicide attempts in community adolescents and young adults, using regression methods and machine learning.

Journal of affective disorders Nov 13, 2019
BACKGROUND: The use of machine learning (ML) algorithms to study suicidality has recently been recommended. Our aim was to explore whether ML approaches have the potential to improve the prediction of suicide attempt (SA) risk. Using the epidemiologi...
Regression Analysis Humans Adult Machine Learning Suicide, Attempted Prospective Studies Adolescent Young Adult Logistic Models
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Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico.

BMC medical informatics and decision making Nov 12, 2019
BACKGROUND: The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient data and machine-learning-based ...
Family Practice Diabetes Mellitus, Type 2 Logistic Models Mexico Ambulatory Care Adult Humans Machine Learning Cross-Sectional Studies Male Electronic Health Records Middle Aged Female
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Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China.

Health informatics journal Nov 11, 2019
The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD) patients is important for addressing the economic burden of COPD. The objectives of this study were to use machine learning approaches to identify an...
Humans Machine Learning Pulmonary Disease, Chronic Obstructive Logistic Models China ROC Curve
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Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.

COPD Nov 11, 2019
While machine learning approaches can enhance prediction ability, little is known about their ability to predict 30-day readmission after hospitalization for Chronic Obstructive Pulmonary Disease (COPD). We identified patients aged ≥40 years with unp...
Humans Machine Learning Male Middle Aged Risk Assessment Clinical Decision Rules Japan Aged Databases, Factual Logistic Models Patient Readmission Aged, 80 and over Prognosis Adult Female Pulmonary Disease, Chronic Obstructive Hospitalization
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A machine learning method correlating pulse pressure wave data with pregnancy.

International journal for numerical methods in biomedical engineering Nov 10, 2019
Pulse feeling , representing the tactile arterial palpation of the heartbeat, has been widely used in traditional Chinese medicine (TCM) to diagnose various diseases. The quantitative relationship between the pulse wave and health conditions however ...
Pulse ROC Curve Logistic Models Blood Pressure Area Under Curve Computer Simulation Pregnancy Female Reproducibility of Results Humans Machine Learning
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Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.

European radiology Nov 8, 2019
OBJECTIVES: This study aimed to develop non-invasive machine learning classifiers for predicting post-Glenn shunt patients with low and high risks of a mean pulmonary arterial pressure (mPAP) > 15 mmHg based on preoperative cardiac computed tomograph...
Adolescent Child, Preschool Child Logistic Models Young Adult Male Infant Lung Double Outlet Right Ventricle Fontan Procedure Heart Defects, Congenital Pulmonary Atresia Tricuspid Atresia Support Vector Machine Blood Pressure Bayes Theorem Discriminant Analysis Humans Machine Learning Algorithms Prognosis Retrospective Studies Tomography, X-Ray Computed Female Univentricular Heart Cardiac Catheterization Transposition of Great Vessels Pulmonary Artery Heart Septal Defects
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