Nothing Special   »   [go: up one dir, main page]
Scribd Logo
Upload

Welcome to Scribd!

  • 261 views

    Role of Data Science in Covid-19

    Uploaded by

    Afia Irfan
    The document discusses how data science is helping address challenges posed by the COVID-19 pandemic. It provides examples of using data science for automated COVID-19 diagnosis from medical images, speeding up drug development, forecasting the spread of the virus, detecting misinformation, ensuring social distancing, and contact tracing to limit the spread. Data science techniques like machine learning, natural language processing, predictive analytics, and data visualization are helping analyze various types of data and gain insights to better understand and respond to the pandemic.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd

    Role of Data Science in Covid-19

    Uploaded by

    Afia Irfan
    261 views13 pages
    The document discusses how data science is helping address challenges posed by the COVID-19 pandemic. It provides examples of using data science for automated COVID-19 diagnosis from medical images, speeding up drug development, forecasting the spread of the virus, detecting misinformation, ensuring social distancing, and contact tracing to limit the spread. Data science techniques like machine learning, natural language processing, predictive analytics, and data visualization are helping analyze various types of data and gain insights to better understand and respond to the pandemic.

    Original Description:

    Presentation on Role of Data science in Covid-19 Pandemic

    Original Title

    Role of data science in covid-19 ppt

    Copyright

    © © All Rights Reserved

    Available Formats

    PPTX, PDF, TXT or read online from Scribd

    Did you find this document useful?

    Is this content inappropriate?

    The document discusses how data science is helping address challenges posed by the COVID-19 pandemic. It provides examples of using data science for automated COVID-19 diagnosis from medical images, speeding up drug development, forecasting the spread of the virus, detecting misinformation, ensuring social distancing, and contact tracing to limit the spread. Data science techniques like machine learning, natural language processing, predictive analytics, and data visualization are helping analyze various types of data and gain insights to better understand and respond to the pandemic.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    261 views13 pages

    Role of Data Science in Covid-19

    Uploaded by

    Afia Irfan
    The document discusses how data science is helping address challenges posed by the COVID-19 pandemic. It provides examples of using data science for automated COVID-19 diagnosis from medical images, speeding up drug development, forecasting the spread of the virus, detecting misinformation, ensuring social distancing, and contact tracing to limit the spread. Data science techniques like machine learning, natural language processing, predictive analytics, and data visualization are helping analyze various types of data and gain insights to better understand and respond to the pandemic.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    of 13
    At a glance
    Powered by AI
    Some key takeaways are that data science involves using computer science and math to extract useful insights from data to help make smart business decisions.

    Data science is mainly used for better decision making, predictive analysis to predict what will happen next, and pattern discovery to find hidden patterns in data.

    Medical images like CT scans and X-rays can be used with AI for automated Covid-19 diagnosis. This can be as accurate as humans, save radiologist time, and be cheaper and faster than other methods.

    Integral University

    Lucknow
    2020-2021
    Colloquium

    Data Science Conquering Challenges


    Endured Amidst Covid-19

    Aafia Irfan Beg


    Aamina khan
    What is Data Science?
    Data science is a multidisciplinary field that combines
    computer science and math. The objective of data
    science is to pull
    Insightful and useful knowledge out of database to
    make smart
    Business decision.
    Use of Data Science!
    Data Science is mainly used
    for better decision making
    (whether A or B), predictive
    analysis (what will happen
    next) and pattern discovery
    (is there any hidden
    information in the data).
    Screening patients and diagnosing Covid-19

    Medical images in the form of Chest CT scans and X-rays are


    essential for automated COVID-19 diagnosis. The AI powered
    COVID-19 diagnosis techniques can be as accurate as a human,
    save radiologist time, and perform diagnosis cheaper and faster
    than the common laboratory methods. 
    Speeding up drug development
    Key benefits of data analytics in drug discovery
    software:
    • Ensures reproducibility of results
    • Saves image analysis time
    • Improves the quality, relevance, and impact
    of aggregated data
    • Helps pharmaceutical companies compete in
    the drug market
    Forecasting COVID-19 with Data Science

    To stay ahead of the disease, Teradata aimed to utilize data science and
    analytics so that accurate projections regarding the number of
    confirmations and deaths could be obtained. This provides an avenue
    for devising better and informed public policies -- like the time and
    duration of lockdowns. As a result of better public policy, the health
    sector can be equipped more efficiently (ordering of masks, ventilators,
    etc.).
    Breaking the COVID-19 Chain
    with Data Analytics
    Prediction of virus using Chat-bot
    with help Natural Language
    Processing
    World Health Organization is
     Detecting rumors, providing accurate information by
    misinformation, and collecting data from different social
    media platforms. The collected data
    panic among the may be structured or unstructured. So,
    public using NLP to extract valuable information hidden
    in unstructured data we have used Text
    Data Mining technique. Natural
    Language Processing (NLP), Data
    mining, and Predictive analytics
    help to prevent
    misconceptions
    Regarding
    COVID-19.
    Early detection through Speech data set

    • Cough sounds can help in detecting a COVID-19 positive case after


    the application of ML techniques.
    • Breathing rate can be detected from speech resulting in the screening
    of a person for COVID-19 .
    • Stress detection techniques from speech can be used to detect
    persons with indications of mental health problems and the severity
    of COVID-19 symptoms.

    All these techniques require extensive efforts for data set collection.
    These speech-based COVID-19 diagnosis techniques can be enabled by
    smartphone applications or remote medical care through telemedicine.
    Speech (audio) data set help in COVID-19
     The data is monitored in real-time
    Deep learning and can send alerts and updates to
    technique has facilities managers where people
    made it easy to aren’t abiding the two-metre rule.
    ensure Social The solution also checks your
    distancing existing workplace cameras feed
    for hotspots many times a day, so
    it can determine which
    areas need a social distancing fix.

    The solution also has the


    ability to detect masks
    while measuring
    distance between people.
    To prevent the spread of virus,
    Ensuring Social tracing technique using Data
    Visualization have been employed.
    distance using
    In this technique, a graph using
    Contact scatter plot is prepared to show
    Tracing app   coronavirus hotspot areas in
    different countries. The Digital apps
    are designed to collect individual’s
    personal data through which we
    trace a person who is more
    vulnerable to novel virus. This helps
    in recognizing the affected people
    easily without having physical
    6 feet | 2 m contact and also keeps the data for
    future analysis

    You might also like