scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1105837196 |
P356 | DOI | 10.1186/S12889-018-5854-2 |
P2888 | exact match | https://scigraph.springernature.com/pub.10.1186/s12889-018-5854-2 |
P932 | PMC publication ID | 6060515 |
P698 | PubMed publication ID | 30045712 |
P50 | author | Giovanna Calogiuri | Q51009501 |
P2093 | author name string | Alessio Rossi | |
P2860 | cites work | Changes in physical activity behavior and the development of body mass index during the last 30 years in Norway | Q80654603 |
Sedentary behavior and health outcomes: an overview of systematic reviews | Q27022664 | ||
Sedentary behaviour and cardiovascular disease: a review of prospective studies | Q28389503 | ||
Big Data and Disease Prevention: From Quantified Self to Quantified Communities | Q31116402 | ||
Why Do People Exercise in Natural Environments? Norwegian Adults' Motives for Nature-, Gym-, and Sports-Based Exercise. | Q33616064 | ||
Where is the Theoretical Basis for Understanding and Measuring the Environment for Physical Activity? | Q34964929 | ||
Sitting time and mortality from all causes, cardiovascular disease, and cancer | Q34974295 | ||
Too much sitting: the population health science of sedentary behavior | Q36116053 | ||
An ecological approach to creating active living communities | Q36419500 | ||
Is Green Exercise for All? A Descriptive Study of Green Exercise Habits and Promoting Factors in Adult Norwegians | Q37456017 | ||
Machine learning: Trends, perspectives, and prospects | Q38549184 | ||
Large-scale physical activity data reveal worldwide activity inequality | Q38686097 | ||
Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). | Q44324854 | ||
Comparison of machine learning techniques with classical statistical models in predicting health outcomes. | Q45966672 | ||
Development of body weight in the Norwegian population | Q47380772 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | machine learning | Q2539 |
P304 | page(s) | 913 | |
P577 | publication date | 2018-07-25 | |
P1433 | published in | BMC Public Health | Q15767009 |
P1476 | title | Patterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach | |
P478 | volume | 18 |
Q92070555 | Do "Girls Just Wanna Have Fun?" Participation Trends and Motivational Profiles of Women in the Birkebeiner Races, Norway's Ultimate Mass Participation Ski Event | cites work | P2860 |
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