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Endless Medical API uses patent-pending technologies (USPTO # 20200118691, PCT/US2019/055747) to generate a knowledge database containing synthetic, individual patient- level data based on research, clinical experience and literature.
EndlessMedical API uses synthetic, individual patient-level data
EndlessMedical API does not use "big-data". Research and experience repeatedly show that big-data is inaccurate, has errors, typos, and biases, brings security, privacy and data ownership concerns.
Synthetic patient-level data is used for AI/ML modeling to overcome these big-data issues.
Big-data under-represents rare diseases and tends to over-represent billable diagnoses and pertinent positive findings in physical examination and history, ignoring other normal and negative findings.
Big-data acquisition for research or commercial use requires costly and time-consuming IRB approvals.
Synthetic patient-level data is not perfect either, but maybe an alternative to big-data for some uses.
Endless Medical API technologies, allow to create synthethic databases echoing the true prevalence of diseases and clinical findings in a given environment.
For example, the incidence of strep throat in general practice office is different than the incidence of strep throat in nursing homes. Historically, AI and ML models trained on data from one environment can not be effectively used in another. EndlessMedical technologies allow to transpose the data and models from one environment to another.
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