Dietary Patterns and Disease: Machine Learning, Deep Learning, Statistical Methods
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First the unusual one: Deep Learning and Tabular Data
"Tabular data is the most commonly used type of data in industry, but deep learning on tabular data receives far less attention than deep learning for computer vision and natural language processing"
https://www.fast.ai/2018/04/29/categorical-embeddings/
2nd the unrelated one (or the very related one):
Factor analysis in Excel tutorial: https://help.xlstat.com/customer/en/portal/articles/2062221-factor-analysis-in-excel-tutorial
However, you can apply Factor Analysis on dataset to find associations between target and source variables.
PCA also works for that. The tool above also has PCA features.
For sure, Python, R or similar will have the features to apply PCA and Factor Analysis on datasets
A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.
https://www.ncbi.nlm.nih.gov/pubmed/29789037
Dietary patterns and 5-year incidence of cardiovascular disease: a multivariate analysis of the ATTICA study.
Abstract: https://www.ncbi.nlm.nih.gov/pubmed/18722096
Full text:https://www.nmcd-journal.com/article/S0939-4753(08)00132-4/fulltext
Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk.
https://www.ncbi.nlm.nih.gov/pubmed/30594138
"A study says machine learning algorithms applied to biopsy images can shorten the time for diagnosing and treating a gut disease that often causes permanent physical and cognitive damage in children."
https://www.sciencedaily.com/releases/2019/06/190617104125.htm
Machine learning to analyze dietary intake
https://engineering.tufts.edu/news/2019/05/machine-learning-analyze-dietary-intake
Deep Learning for Food Analysis
https://www.slideshare.net/petiaivanova/deep-learning-for-food-analysis
Fast.ai: Using Deep Learning on Structured Data
https://mc.ai/fast-ai-using-deep-learning-on-structured-data/
Machine Learning with Structured Data: Training the Model (Part 2)
https://cloud.google.com/solutions/machine-learning/ml-on-structured-data-model-2
Why is Deep Learning so bad for tabular data?
https://www.reddit.com/r/MachineLearning/comments/9826bt/d_why_is_deep_learning_so_bad_for_tabular_data/
A Neural Network in PyTorch for Tabular Data with Categorical Embeddings
https://yashuseth.blog/2018/07/22/pytorch-neural-network-for-tabular-data-with-categorical-embeddings/
Sayed Ahmed
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Post Data:2019-06-26 22:10:37
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