Machine Learning Prediction for 50 Anti-Cancer Food Molecules from 968 Anti-Cancer Drugs
Open Access
- 1 January 2020
- journal article
- Published by Scientific Research Publishing, Inc. in International Journal of Intelligence Science
- Vol. 10 (01), 1-8
- https://doi.org/10.4236/ijis.2020.101001
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- HyperFoods: Machine intelligent mapping of cancer-beating molecules in foodsScientific Reports, 2019
- The Effect of Evidence-Based Nutrition Clinical Care Pathways on Nutrition Outcomes in Adult Patients Receiving Non-Surgical Cancer Treatment: A Systematic ReviewNutrition and Cancer, 2018
- Cancer chemoprevention by dietary phytochemicals: Epidemiological evidenceMaturitas, 2016
- Dietary phytochemicals and cancer chemoprevention: a review of the clinical evidenceOncotarget, 2016
- Global diets link environmental sustainability and human healthNature, 2014
- The burden of disease in older people and implications for health policy and practiceThe Lancet, 2014
- Nutrition and cancer: A review of the evidence for an anti-cancer dietNutrition Journal, 2004
- The Nutrition Transition: New Trends in the Global DietNutrition Reviews, 1997