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RESEARCH PRODUCT
Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview.
Ayan ChatterjeeSantiago MartinezMartin Gerdessubject
Malenormal distributionobesity020205 medical informaticsNice02 engineering and technologyOverweightlcsh:Chemical technologycomputer.software_genreSklearnBiochemistryAnalytical ChemistryMachine Learning0302 clinical medicinePregnancyRisk Factors0202 electrical engineering electronic engineering information engineeringMedicinedata visualizationlcsh:TP1-1185030212 general & internal medicineInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550computer.programming_languageBehavior changeMiddle AgedAtomic and Molecular Physics and Opticssensor dataPeer reviewlifestyle diseasesVDP::Medisinske Fag: 700::Helsefag: 800classificationFemaleregressionmedicine.symptomAdultMachine learningArticle03 medical and health sciencesYoung AdultBMIUrbanizationHumansoverweightElectrical and Electronic EngineeringExercisegradient descentSedentary lifestylebusiness.industryWeight changemodel performancedeep learningeCoachmedicine.diseasecalibrationObesityhypothesis testpythonmonitoringArtificial intelligencePrismabusinesscomputerdiscriminationdescription
Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk factors in humans. Behavioral risk factors such as unhealthy habits, improper diet, and physical inactivity lead to physiological risks, and &ldquo
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-05-11 | Sensors (Basel, Switzerland) |