4.6 Article

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm

Md. Maniruzzaman et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)

Article Computer Science, Interdisciplinary Applications

A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification

Vimal K. Shrivastava et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)

Article Computer Science, Interdisciplinary Applications

Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind

Vimal K. Shrivastava et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Article Computer Science, Interdisciplinary Applications

IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework

Saba Bashir et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2016)

Article Multidisciplinary Sciences

A Comparison of Various Imputation Methods for Missing Values in Air Quality Data

Nuryazmin Ahmat Zainuri et al.

Sains Malaysiana (2015)

Article Endocrinology & Metabolism

Diagnosis and Classification of Diabetes Mellitus

DIABETES CARE (2014)

Article Medicine, General & Internal

Validation of the Atherosclerotic Cardiovascular Disease Pooled Cohort Risk Equations

Paul Muntner et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2014)

Editorial Material Medicine, General & Internal

The global implications of diabetes and cancer

Yuankai Shi et al.

LANCET (2014)

Article Computer Science, Artificial Intelligence

Comparison of different methods for determining diabetes

Mehmet Recep Bozkurt et al.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES (2014)

Article Psychology, Social

Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

Christophe Leys et al.

JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY (2013)

Article Engineering, Biomedical

Automated diagnosis of epileptic EEG using entropies

U. Rajendra Acharya et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2012)

Article Computer Science, Information Systems

Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus

Nahla H. Barakat et al.

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2010)

Article Computer Science, Artificial Intelligence

Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy

HC Peng et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)

Article Computer Science, Artificial Intelligence

Not so naive Bayes: Aggregating one-dependence estimators

GI Webb et al.

MACHINE LEARNING (2005)

Article Computer Science, Interdisciplinary Applications

Gaussian process for nonstationary time series prediction

S Brahim-Belhouari et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2004)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)