Developing a Model for Prediction of Serum 25-Hydroxyvitamin D Level: The Use of Linear Regression and Machine Learning Methods-Reference-Cited by-同舟云学术

Developing a Model for Prediction of Serum 25-Hydroxyvitamin D Level: The Use of Linear Regression and Machine Learning Methods

Published:2021-02-08 Issue: Volume: Page:1-10
ISSN:0731-5724
Container-title:Journal of the American College of Nutrition
language:en
Short-container-title:Journal of the American College of Nutrition

Author:

Karamizadeh Malihe¹^ORCID,Seif Mozhgan²^ORCID,Holick Michael F.³^ORCID,Akbarzadeh Marzieh¹^ORCID

Affiliation:

1. Nutrition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran

2. Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

3. Section Endocrinology, Diabetes, Nutrition and Weight Management, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA

Funder

Shiraz University of Medical Sciences

Publisher

Informa UK Limited

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/07315724.2020.1869624

Reference65 articles.

1. Vitamin D fortification of foods and prospective health outcomes

2. Clinical Management of Low Vitamin D: A Scoping Review of Physicians’ Practices

3. Prediction of vitamin D deficiency by simple patient characteristics

4. Risk factors for antenatal hypovitaminosis D in an urban district in Malaysia

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