AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Incidence

Showing 181 to 190 of 338 articles

Clear Filters

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

International journal of medical informatics Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Humans Algorithms Adult Male Middle Aged Brazil Adolescent Prognosis Female Aged Aged, 80 and over Young Adult Supervised Machine Learning Incidence Tongue Neoplasms Cohort Studies Chemoradiotherapy Decision Trees Child Finland Bayes Theorem Support Vector Machine Mouth Neoplasms Neoplasm Recurrence, Local Combined Modality Therapy
View on PubMed DOI

A novel model for malaria prediction based on ensemble algorithms.

PloS one Dec 26, 2019
BACKGROUND AND OBJECTIVE: Most previous studies adopted single traditional time series models to predict incidences of malaria. A single model cannot effectively capture all the properties of the data structure. However, a stacking architecture can s...
China Incidence Malaria Humans Algorithms Communicable Diseases Deep Learning
View on PubMed DOI

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 Machine Learning Abortion, Induced Cattle Diseases Models, Theoretical Algorithms Iran Animals Datasets as Topic Male Dairying 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 Machine Learning Incidence Logistic Models Mass Screening Decision Trees Stroke Algorithms Decision Support Techniques Adult 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.
Iran Data Mining Zoonoses Brucellosis Support Vector Machine Models, Statistical Seasons Humans Female Adult Animals Male Middle Aged Incidence
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...
Linear Models Climate Spatial Regression Incidence Agriculture Support Vector Machine Humans Iran Neural Networks, Computer Leptospirosis
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...
Aortic Aneurysm, Abdominal Age Distribution Sex Distribution Ultrasonography Humans United States Machine Learning Male Mass Screening Retrospective Studies Follow-Up Studies Middle Aged Female Predictive Value of Tests Prevalence Risk Factors Incidence Aged Aged, 80 and over
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.
Diagnosis, Computer-Assisted Incidence Time Factors Primary Health Care Longitudinal Studies Predictive Value of Tests Heart Failure Early Diagnosis Smoking Alcohol Drinking Humans California Electronic Health Records Neural Networks, Computer Vital Signs Female Machine Learning Reproducibility of Results Risk Factors Male
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).
Outpatients Reproducibility of Results Diabetes Mellitus, Type 2 Risk Factors Humans Middle Aged Follow-Up Studies Hospitalization Machine Learning Risk Assessment Predictive Value of Tests Aged Female Incidence Heart Failure Male Cohort Studies Clinical Trials as Topic Time Factors
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...
Datasets as Topic Algorithms Female Aged Aged, 80 and over Male Adult Humans Machine Learning Middle Aged Cognitive Dysfunction Dementia Incidence
View on PubMed DOI
Popular Topics
Recent Journals