Comparison of artificial neural networks with logistic regression for detection of obesity.
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Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based ApproachApplication of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative ComplicationsPrediction of trauma-specific death rates of pedestrians of Fars Province, Iran.A Comparison of Logistic Regression Model and Artificial Neural Networks in Predicting of Student's Academic Failure.Data mining: Potential applications in research on nutrition and health.Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures.Hybrid EANN-EA System for the Primary Estimation of Cardiometabolic Risk.
P2860
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P2860
Comparison of artificial neural networks with logistic regression for detection of obesity.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
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2011年學術文章
@zh-hant
name
Comparison of artificial neura ...... sion for detection of obesity.
@en
Comparison of artificial neura ...... sion for detection of obesity.
@nl
type
label
Comparison of artificial neura ...... sion for detection of obesity.
@en
Comparison of artificial neura ...... sion for detection of obesity.
@nl
prefLabel
Comparison of artificial neura ...... sion for detection of obesity.
@en
Comparison of artificial neura ...... sion for detection of obesity.
@nl
P2093
P2860
P50
P1476
Comparison of artificial neura ...... ssion for detection of obesity
@en
P2093
Najaf Zare
Seyed Mohammad Taghi Ayatollahi
Seyed Taghi Heydari
P2860
P2888
P304
P356
10.1007/S10916-011-9711-4
P577
2011-05-10T00:00:00Z