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=== Reasons For ===
 
=== Reasons For ===
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==== Manage health conditions ====
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==== Contribute to medical research ====
Doctors get much more precise, objective, and detailed description from data than patients provide verbally. This includes long term tracking as a baseline. Data like this has been good enough to prove something even to the medical community. Patients get a clearer picture of their health which they can use to make better decisions.<ref>https://dl.acm.org/doi/10.1145/1124772.1124910</ref> Patients can gauge their doctor's performance better. Self tracking could reduce medical costs.<ref>https://flowingdata.com/2022/06/24/when-americans-had-intercourse-with-opposite-sex-for-the-first-time/</ref>  
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Variety of literature shows the validity of N-of-1 approaches. For examples search google scholar for patient-led studies.<ref>https://scholar.google.com/scholar?hl=en&q=patient-led+study</ref> 12 self experimenters won Nobel prizes.<ref>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298919/</ref>
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Chronic or sub-clinical health conditions, and effects of lifestyle choices, like veganism,<ref>https://www.vegansociety.com/shop/veg-1-supplements</ref><ref>https://en.wikipedia.org/wiki/Vegan_nutrition</ref> may be monitored using personal health tracking. Remedies such as weight loss diets and melatonin can be tested for effectiveness with health tracking. Even if no remedies are found, tracking provides piece of mind by showing the patient that this condition is like previous ones that have resolved or that it is benign.  
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Observational studies are important.<ref>https://en.wikipedia.org/wiki/Lead%E2%80%93crime_hypothesis</ref> Epidemiological studies are much easier to conduct with digital tools.<ref>https://www.jmir.org/2022/6/e35804</ref><ref>https://www.researchgate.net/publication/49775085_Reducing_case_ascertainment_costs_in_US_population_studies_of_Alzheimer's_disease_dementia_and_cognitive_impairment_-_Part_2</ref> If continuous self tracking data is taken from multiple people it becomes a longitudinal study.<ref>https://en.wikipedia.org/wiki/Longitudinal_study</ref> These are more reliable than single slice observational studies like the ones most often used by papers about diets. Unfortunately, mobile health companies that aggregate data from users rarely do it with real scientific goals in mind. Instead you should contribute that data to researchers through [[Open Humans]].
 
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Unfortunately, sub-clinical issues are often esoteric and so require elusive or underdeveloped tools. At the same time, serious chronic conditions are more likely to be tracked with expensive, restricted to the public, or closed data devices.
      
==== Protect your self ====
 
==== Protect your self ====
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Tools to save your life can also record data. For examples; Apple watch monitors for arrhythmia, medicine trackers for the goal of safety can also help monitor health conditions, and hiking is made much safer with GPS.  
 
Tools to save your life can also record data. For examples; Apple watch monitors for arrhythmia, medicine trackers for the goal of safety can also help monitor health conditions, and hiking is made much safer with GPS.  
   −
==== Contribute to medical research ====
+
==== Manage health conditions ====
Variety of literature shows the validity of N-of-1 approaches. For examples search google scholar for patient-led studies.<ref>https://scholar.google.com/scholar?hl=en&q=patient-led+study</ref> 12 self experimenters won Nobel prizes.<ref>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298919/</ref>
+
Doctors get much more precise, objective, and detailed description from data than patients provide verbally. This includes long term tracking as a baseline. Data like this has been good enough to prove something even to the medical community. Patients get a clearer picture of their health which they can use to make better decisions.<ref>https://dl.acm.org/doi/10.1145/1124772.1124910</ref> Patients can gauge their doctor's performance better. Self tracking could reduce medical costs.<ref>https://flowingdata.com/2022/06/24/when-americans-had-intercourse-with-opposite-sex-for-the-first-time/</ref>
 +
 
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Chronic or sub-clinical health conditions, and effects of lifestyle choices, like veganism,<ref>https://www.vegansociety.com/shop/veg-1-supplements</ref><ref>https://en.wikipedia.org/wiki/Vegan_nutrition</ref> may be monitored using personal health tracking. Remedies such as weight loss diets and melatonin can be tested for effectiveness with health tracking. Even if no remedies are found, tracking provides piece of mind by showing the patient that this condition is like previous ones that have resolved or that it is benign.
   −
Observational studies are important.<ref>https://en.wikipedia.org/wiki/Lead%E2%80%93crime_hypothesis</ref> Epidemiological studies are much easier to conduct with digital tools.<ref>https://www.jmir.org/2022/6/e35804</ref><ref>https://www.researchgate.net/publication/49775085_Reducing_case_ascertainment_costs_in_US_population_studies_of_Alzheimer's_disease_dementia_and_cognitive_impairment_-_Part_2</ref> If continuous self tracking data is taken from multiple people it becomes a longitudinal study.<ref>https://en.wikipedia.org/wiki/Longitudinal_study</ref> These are more reliable than single slice observational studies like the ones most often used by papers about diets. Unfortunately, mobile health companies that aggregate data from users rarely do it with real scientific goals in mind. Instead you should contribute that data to researchers through [[Open Humans]].
+
Unfortunately, sub-clinical issues are often esoteric and so require elusive or underdeveloped tools. At the same time, serious chronic conditions are more likely to be tracked with expensive, restricted to the public, or closed data devices.
    
==== Improve [[Fitness]], [[Mood]], [[Productivity]], and [[Cognition|Cognitive]] abilities ====
 
==== Improve [[Fitness]], [[Mood]], [[Productivity]], and [[Cognition|Cognitive]] abilities ====
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