[button size=”md” type=”danger” href=”https://app.akk.io/deployments/BE55ngMtMBSkEYzeFV5S” target=”_blank”]Days To Virus Clearance (Median)[/button]
[button size=”md” type=”dark” href=”https://app.akk.io/flow/zgqQHsOntPqepD7HVl8s/1/report” target=”_blank”]See Predictive Model Report[/button]
[button size=”md” type=”light” href=”https://docs.google.com/spreadsheets/d/1012VrwXIx2eEYDXmCD0zjVQg97ogIYRPF7TYX-uqptI/edit?usp=sharing” target=”_blank”]Covid-19 – Analytics Reference Ranges – For This Predictor[/button]
[button size=”md” type=”success” href=”https://docs.google.com/spreadsheets/d/1f7AlppCtQr1I-hegtOeewiJ0F7DefFLQsNtqs3cEQ-0/edit?usp=sharing” target=”_blank”]Sample CSV (download & fill out with your patient data and upload)[/button]
This is a clinician-grade tool. Use it to get an immediate insight!
As policy makers and healthcare professionals tackle the COVID-19 pandemic, a critical factor inhibiting effective decision making at regional, national, and global levels is a lack of relevant data on patient outcomes.
It’s based on:
Dataset largely derived from studies run in hospitals and nations affected with COVID-19.
BIG NO-NO! The raw data that we used should not and was not used by us to estimate trends in the general population such as mortality rates.
It should be possible to derive reasonably accurate estimates for e.g. “Days to Viral Clearance (Median)” and it should be noted to take into account
(a) for the prevalence of asymptomatic patients, and
(b) including only sufficiently representative studies., which we have done in the model.
The dataset that we used for our AI deep-learning predictive model, aggregates data from over 160 published clinical studies and preprints released between December 2019 and April 2020.
We’ll keep on updating this resource as it’s updated from the source as more research investigations from other countries are getting published.
Data Credit: MIT Operations Research Center
Other important calculators (calcs) are given below!
[button size=”md” type=”dark” href=”https://app.akk.io/flow/mXWAE0HLeaRmCnQ6kZRB/1/report” target=”_blank”]See Predictive Model Report[/button]
[button size=”md” type=”success” href=”https://docs.google.com/spreadsheets/d/16fMcqDQV70-MeGN_nscqVG3dazTU2ul0kRQLHup44ds/edit?usp=sharing” target=”_blank”]Sample CSV (download & fill out with your patient data and upload)[/button]
Bullard MK. Medical ethics. In: Harken AH, Moore EE, eds. Abernathy’s Surgical Secrets. 7th ed. Philadelphia, PA: Elsevier; 2018:chap 106.
Moreno JD, DeKosky ST. Ethical considerations in the care of patients with neurosurgical disease. In: Cottrell JE, Patel P, eds. Cottrell and Patel’s Neuroanesthesia. 6th ed. Philadelphia, PA: Elsevier; 2017:chap 26.
Robust patient datasets. Data additions are done frequently to train and test to get more robust models built from them.
Review Date 10/22/2020 & Updated By
David C. Dugdale, III, MD, Professor of Medicine, Division of General Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, WA. Also reviewed by David Zieve, MD, MHA, Medical Director, Brenda Conaway, Editorial Director, and the A.D.A.M. Editorial team.
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September 24, 2022
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