Analysis algorithms are either hard to use or too incapable. For example, article in Nature where ML was used in multiple N-of-1 studies and that approach is both incomplete and difficult for the average user.<ref>https://www.nature.com/articles/s41398-021-01445-0</ref> [[Finding relations between variables in time series|All data aggregators]] for self tracking, besides OH, use linear regression or nothing at all. This problem can sometimes be avoided with [[Experiment VS Observational study|careful experimental design]] like RCT. | Analysis algorithms are either hard to use or too incapable. For example, article in Nature where ML was used in multiple N-of-1 studies and that approach is both incomplete and difficult for the average user.<ref>https://www.nature.com/articles/s41398-021-01445-0</ref> [[Finding relations between variables in time series|All data aggregators]] for self tracking, besides OH, use linear regression or nothing at all. This problem can sometimes be avoided with [[Experiment VS Observational study|careful experimental design]] like RCT. |