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In practice, the person can be bucketed in an age, height and weight group and then the problem is solved and there is a constructive dataset. Address and name
by rvnx 5y ago
In practice, the person can be bucketed in an age, height and weight group and then the problem is solved and there is a constructive dataset.
Address and name are not necessary.
- Person 30-35, living in California, has history of obesity, suffers from type II diabetes, under treatment of med A, and med B.
- first dose: Jan 2021
- second dose: March 2021
Medical outcome: ZZZ
- jjulius 5y agoI'm genuinely curious - OP has commented about their direct work with pharmaceutical companies on datasets like what we're discussing. Do you have any history of direct work with similar/same datasets yourself?