Summary of Impact Of Physical Activity on Quality Of Life During Pregnancy: a Causal Ml Approach, by Kianoosh Kazemi et al.
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach
by Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilen, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg
First submitted to arxiv on: 25 Feb 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Methodology (stat.ME)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study investigates the causal relationship between physical activity (PA) and quality of life (QoL) during pregnancy and postpartum for overweight and obese women. The authors develop a Causal Machine Learning method combining causal discovery and inference components. They analyze data from a wearable-based health monitoring study, showing that adequate PA improves QoL by 7.3 units in physical health and 3.4 units in psychological domains. The authors use four refutation analysis techniques to validate their estimation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study helps us understand how exercise affects pregnant women’s overall well-being. Researchers used special computer methods to see if doing physical activity really makes a difference in quality of life during pregnancy and after having a baby. They found that exercising regularly improves quality of life by a certain amount. This is important because many pregnant women struggle with their physical and mental health. |
Keywords
* Artificial intelligence * Inference * Machine learning
