TLDR Data mining helps identify and address nutrition deficiencies affecting health.
The document discussed how globalization and modernization led to changes in dietary patterns, resulting in nutrition deficiencies such as protein, carbohydrates, fats, minerals, and vitamins. These deficiencies were significant contributors to global disease burdens. Health care professionals and government decision-makers used data mining techniques to analyze healthcare surveys and medical records to improve public health. The study focused on identifying malnutrition in children and the elderly, recognizing anemia due to iron deficiency, and diagnosing hair loss by analyzing deficiencies in zinc, iron, and vitamins. Techniques used included decision trees, classification methods, artificial neural networks, support vector machines, and statistical methods.
7 citations
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January 2012 Neural networks can effectively predict hair loss.
70 citations
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June 2010 in “Clinics in Dermatology” Certain groups may need vitamin supplements to improve hair health and prevent other health problems.
10 citations
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July 2018 in “Our Dermatology Online” Some vitamins and minerals are important for preventing hair loss, but treating hair loss with them without a known deficiency is not proven effective.
January 2022 in “Indian journal of dermatopathology and diagnostic dermatology” Women with diffuse hair loss often have lower iron and vitamin D levels, but their thyroid function is typically normal.
5 citations
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January 2020
11 citations
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January 2011 in “Turkish Journal of Medical Sciences” Low iron levels are a significant risk factor for hair loss, while high vitamin D levels might be a response to hair loss, not a cause.
79 citations
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January 2017 in “Dermatology practical & conceptual” Correcting nutrient deficiencies may help with hair loss, but the benefits of supplements without a deficiency are uncertain and could be harmful.