AIMC Topic: Incidence

Clear Filters Showing 221 to 230 of 391 articles

Machine learning algorithms, bull genetic information, and imbalanced datasets used in abortion incidence prediction models for Iranian Holstein dairy cattle.

Preventive veterinary medicine Dec 17, 2019
The ability to predict abortion incidence, especially in regions with high abortion rates (e.g., Iran), helps improve reproductive performance and, thereby, dairy farm profitability. The objective of this study was to predict pregnancy loss in Irania...
Abortion, Veterinary Abortion, Induced Cattle Diseases Machine Learning Models, Theoretical Iran Datasets as Topic Algorithms Dairying Animals Male Incidence Cattle
View on PubMed DOI

Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

BMC medical informatics and decision making Dec 10, 2019
BACKGROUND: With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and interv...
Humans Neural Networks, Computer Incidence Machine Learning Logistic Models Algorithms Mass Screening Decision Support Techniques Decision Trees Adult Stroke Risk Assessment China
View on PubMed DOI

Epidemiological Features of Human Brucellosis in Iran (2011-2018) and Prediction of Brucellosis with Data-Mining Models.

Journal of research in health sciences Dec 4, 2019
BACKGROUND: Brucellosis is known as the major zoonotic disease. We aimed to compare the performance of some data-mining models in predicting the monthly brucellosis cases in Iran.
Humans Seasons Iran Data Mining Zoonoses Middle Aged Female Incidence Adult Brucellosis Animals Support Vector Machine Male Models, Statistical
View on PubMed

Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches.

BMC infectious diseases Nov 13, 2019
BACKGROUND: Recent reports of the National Ministry of Health and Treatment of Iran (NMHT) show that Gilan has a higher annual incidence rate of leptospirosis than other provinces across the country. Despite several efforts of the government and NMHT...
Neural Networks, Computer Incidence Agriculture Support Vector Machine Iran Leptospirosis Linear Models Climate Spatial Regression Humans
View on PubMed DOI

Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

Echocardiography (Mount Kisco, N.Y.) Nov 4, 2019
A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurysm (AAA) is presented. Self-reported height, weight, age, gender, ethnicity, and parameters "Heart Problems," "Hypertension," "High Cholesterol," "Diab...
Aged Aged, 80 and over Male Middle Aged Prevalence Machine Learning Retrospective Studies Female Risk Factors Predictive Value of Tests Aortic Aneurysm, Abdominal Age Distribution Sex Distribution Incidence Ultrasonography United States Mass Screening Follow-Up Studies Humans
View on PubMed DOI

Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Smoking Longitudinal Studies Alcohol Drinking Predictive Value of Tests California Machine Learning Heart Failure Vital Signs Electronic Health Records Early Diagnosis Humans Male Female Reproducibility of Results Neural Networks, Computer Diagnosis, Computer-Assisted Risk Factors Incidence Time Factors Primary Health Care
View on PubMed DOI

Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score.

Diabetes care Sep 13, 2019
OBJECTIVE: To develop and validate a novel, machine learning-derived model to predict the risk of heart failure (HF) among patients with type 2 diabetes mellitus (T2DM).
Female Reproducibility of Results Risk Factors Hospitalization Aged Male Middle Aged Risk Assessment Incidence Cohort Studies Humans Machine Learning Heart Failure Clinical Trials as Topic Outpatients Time Factors Diabetes Mellitus, Type 2 Follow-Up Studies Predictive Value of Tests
View on PubMed DOI

Identifying incident dementia by applying machine learning to a very large administrative claims dataset.

PloS one Jul 5, 2019
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. We hypothesized tha...
Cognitive Dysfunction Humans Aged Dementia Machine Learning Aged, 80 and over Incidence Algorithms Adult Datasets as Topic Female Male Middle Aged
View on PubMed DOI

Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study.

BMJ open Jun 16, 2019
OBJECTIVES: Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in China, accounting for almost 90% cases reported globally. Infectious disease prediction may help in disease prevention despite some uncontrollable influ...
Models, Statistical Seasons Hemorrhagic Fever with Renal Syndrome Software Forecasting China Incidence Humans Neural Networks, Computer
View on PubMed DOI

An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

Computer methods and programs in biomedicine Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Middle Aged Severity of Illness Index Case-Control Studies Sepsis Adolescent Young Adult Humans Adult Sensitivity and Specificity Machine Learning Male Incidence Vital Signs Algorithms Decision Trees Normal Distribution Electronic Health Records Monitoring, Ambulatory Heart Arrest Female APACHE Reproducibility of Results Multivariate Analysis
View on PubMed DOI
Popular Topics
Recent Journals