lenamax2355/covid19_clinical_test_interpretability

Presenting some finding, based on the results of laboratory tests commonly done for a suspected COVID-19 case during visit to Emergency Room (ER) to show how an analytical approach caters for the given situation using Deep Learning Approach and interpretability Model, so as to fasten the decision making process for Front Line Health professionals

COVID19_Clinical_Test_Interpretability

Presenting some finding, based on the results of laboratory tests commonly done for a suspected COVID-19 case during visit to Emergency Room (ER) to show how an analytical approach caters for the given situation using Deep Learning Approach and interpretability Model, so as to fasten the decision making process for Front Line Health professionals

Insights

• The case study gives a complete data analytics approach using advanced techniques to cater for the given scenario.

• This gives a helicopter view of how a data-driven decision making helps in solving the crisis at hand. If well-distributed data is provided to the author, some of the shortcoming can be reduced. ( Discussed in the Notebook)

• The main concern is to control the outbreak of this pandemic, this approach enables all the front-line workers to spread out and do accurate rapid testing.

• It also caters in increasing number of mobile test units, even though the number of health workers is less, the clinical test kit is available now in a mobile test kit version and with this analytical approach, it empowers the other responsible frontline workers to take the test and recognize the results accurately.

• Not only that we have seen there are case were False Negative comes, in those scenarios one can remotely consult the health workers.

• As we see rapid testing is one of the good strategies to strategically stop the spread, these type of analytics-enabled mobile test kits might have to install in several places like airports, schools and offices, to stop the second wave of COVID-19 in countries like Australia where it has successfully flattened the curve. (Stevens, 2020)

• There is some limitation when it comes to modelling and data aspects of the case study, the data set unbalanced.which gives us the limitation of less learning exposure of model to positive data set and also even interpretability model will not be accurate with False Negative patients, which is also a serious matter for concern.

Data Source

• Diagnosis of COVID-19 and its clinical spectrum: Results of laboratory tests commonly collected for a suspected COVID-19 case during a visit to the emergency room at the Hospital Israelita Albert Einstein, at São Paulo, Brazil. https://www.kaggle.com/einsteindata4u/covid19/#dataset.xlsx

References

• Amdahl, M. (2020, April 11). Covid-19: Debunking the Hemoglobin Story. Retrieved from https://medium.com/: https://medium.com/@amdahl/covid-19-debunking-the-hemoglobin-story-ce27773d1096

• Anderson, R., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. (2020, March 09). How will country-based mitigation measures influence the course of the COVID-19 epidemic? 395, 931-934. doi:10.1016/S0140-6736(20)30567-5

• CDC, C. (n.d.). Coronavirus Disease 2019 (COVID-19)-Protect Yourself. Retrieved May 22, 2020, from https://www.cdc.gov/: https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fprepare%2Fprevention.html

• Drum, K. (2020, April 2). US Coronavirus Test Is Only 60-70% Accurate. Retrieved May 22, 2020, from https://www.motherjones.com/: https://www.motherjones.com/kevin-drum/2020/04/wsj-us-coronavirus-test-is-only-60-70-accurate/

• Evans, M. (2020, April 04). Coronavirus home test kits: Everything you need to know. Retrieved May 22, 2020, from https://www.t3.com/: https://www.t3.com/au/news/coronavirus-home-test-kits-when-theyll-be-on-sale-where-to-buy-and-more

• Guardian, T. (2020, April 11). WHO looks into report of Covid patients testing positive after negative tests. Retrieved from https://www.theguardian.com/: https://www.theguardian.com/world/2020/apr/11/who-looks-into-report-of-covid-patients-testing-positive-after-negative-tests

• John Hopkins , U. (n.d.). CORONAVIRUS RESOURCE CENTER. Retrieved 05 22, 2020, from https://coronavirus.jhu.edu/map.html

• Schofield, C. (2020, May 14). A new antibody test for coronavirus with 100% accuracy has been approved - here’s how it works. Retrieved May 22, 2020, from https://www.morpethherald.co.uk/: https://www.morpethherald.co.uk/read-this/new-antibody-test-coronavirus-100-accuracy-has-been-approved-heres-how-it-works-2853193

• Stevens, H. (2020, March 14). Why outbreaks like coronavirus spread exponentially and how to flatten the curve. Retrieved May 22, 2020, from washingtonpost: https://www.washingtonpost.com/graphics/2020/world/corona-simulator/

• WHO. (2020, March 9). WHO Director-General's opening remarks at the media briefing on COVID-19 - 9 March 2020. Retrieved from https://www.who.int/: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---9-march-2020