MedRec AI, COVID - 19(Project proposal)

● Coronavirus disease 2019 (COVID-19), an infectious disease, has spread globally and resulted in pandemic [1]● The rate of deaths per number of diagnosed cases is on average 3.4%, ranging from 0.2% in those less than 20 to

approximately 15% in those over 80 years old [2][3][4]● At the moment there is no vaccine or specific antiviral treatment for COVID-19● Infection prevention includes frequent hand washing, social distancing, and not touching one's face [5]● Management involves treatment of symptoms, supportive care, isolation, and experimental measures [6]● Each country applies different measures [7], the most extreme being complete quarantine and cities lockdowns

Key points:

● Restrictions are commonly applied universally, except for elderly or some specific location● Consequences of the illness are highly individual● Single person protection from infection is relatively simple

2[1] "WHO Director-General's opening remarks at the media briefing on COVID-19". World Health Organization (WHO) (Press release). 11 March 2020. Retrieved 12 March 2020.[2] "World Health Organization. ( 2020) . Coronavirus disease 2019 ( COVID-19) : situation report, 46" (PDF). Retrieved 16 March 2020.[3] "Wuhan Coronavirus Death Rate". www.worldometers.info. Archived from the original on 31 January 2020. Retrieved 2 February 2020.[4] "Report 4: Severity of 2019-novel coronavirus (nCoV)" (PDF). Archived (PDF) from the original on 10 February 2020. Retrieved 10 February 2020.[5] "Advice for public". World Health Organization (WHO). Archived from the original on 26 January 2020. Retrieved 25 February 2020.[6] "Coronavirus Disease 2019 (COVID-19)". Centers for Disease Control and Prevention (CDC). 15 February 2020. Archived from the original on 26 February 2020. Retrieved 20 February 2020.[7] https://www.weforum.org/agenda/2020/03/coronavirus-this-is-how-the-world-is-responding/

Motivation

Find people at riskHaving system which evaluates personal medical history and categorises a person by risk level ~ consequences of COVID-19 illness [no symptoms | mild progress | hospitalization required | death] could be used for:

● Complete population evaluation● Prioritise medical treatment of infected or potentially infected (smart quarantine) patients at risk● Minimizing potential of getting illness for people at risk● Some of those might be at the “front line” such as medical staff, police force, etc. and can be reassigned to

avoid direct contact with the disease● “Smartly” release some of the applied restrictions for others where the risk of death or required hospitalization

is low

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Proposed solution

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Phase 3est. 2 months

Develop machine learning model and search for hidden knowledge

Data can be enriched with patients documentation. Could potentially explain ambiguous reason of COVID patient death.

Phase 1est. 2 weeks

Rule based expert system developed with doctors Based on person medical history DGRs and MKN-10 lists

Easy to develop and quick to run while having high added value

Phase 2est. 1 month

Gather patients disease progression and improve rule-based system with real-word evidence information

Requires to gather data

Expert system - Phase 1

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● Export anonymized DGR and MKN-10 records for system development

● Creates access to personal data for solution running inside company

● Develop expert system● Create reporting services for individual or

batch evaluation● Working only with anonymized data

● Expert knowledge● Risk assessment for DGR and MKN-10

groups● Consultations and results validation

MuDr.

Next steps

First steps

1. Project proposal discussion 2. NDA & Legal3. Anonymized data export4. Creating the expert knowledge base with board of doctors5. System and application development

Contact Petr Fiala Email: petr.fiala@softvision.aiPhone: +420 602 438 861 6

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Technological start-up with vision to “apply state-of-the-art AI advances to real world problems”.

Our solutions are implemented with 3 key elements in mind:1. agile - development with the clients for their specific needs to deliver added value rapidly2. innovative - based on latest research we search for state-of-the-art model3. independence - we are looking for the best framework for given solution, not being restricted to one of the many machine

learning platforms

Algorithmic trading with cryptocurrencies

● fully automated● short term price prediction● deep learning model based on

recurrent neural network ● registered by the Czech National

Bank as an investment fund

ECG Afib detection

● AI model for Atrial-fibrillation detection in rest ECG record

● using time-series data generated by cardiogram

Medical record analysis

● NLP based model for analysing medical records

● extraction of structured information DGR and MKN-10 values from unstructured natural text

PROJECTS