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Dissertation on Computer Science Machine Learning Algorithm to Predict Covid’19 - Phdassistance

Artificial intelligence and data science play a vital role in the health-care business in this era of automation. Medical practitioners may simply manage their duties and patient care since these technologies is so well-connected. Dependence on automated systems such as AI has increased in healthcare services.<br><br>Read More: https://bit.ly/3HGu9NY<br>

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Dissertation on Computer Science Machine Learning Algorithm to Predict Covid’19 - Phdassistance

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  1. DissertationonComputer Science:MachineLearning AlgorithmtoPredictCovid'19 AnAcademicpresentationby Dr.NancyAgnes,Head,TechnicalOperations,Phdassistance Group www.phdassistance.com Email:info@phdassistance.com

  2. Today'sDiscussion Introduction Machine Learning and Covid-19 Prediction and ForecastingStrategies Forecasting Conclusion

  3. INTRODUCTION Artificial intelligence and data scienceplay a vital role inthehealth-carebusinessinthiseraofautomation. Medicalpractitionersmaysimplymanagetheir duties and patient care since these technologies is so well-connected. Dependence on automated systems such as AI has increasedinhealthcare services. Diagnostic procedures and treatments are now being greatlyassisted byMachine Learning. Contd...

  4. Notjust inmedicine, butalso in allother fields,MLs play agreat role. Inthehealthcare,bothcuttingdowntime,andaccuratediagnosisarelifesaving, andMLs enable that possible. Ifthe therapyhas a highincidence ofmistake, it mayresult inseveral fatalities. As a result, scientists have begun to use artificial intelligenceapplications in medicaltherapy. Theworkisdifficultbecausetheresearchersmustselecttheappropriatetool:itis alife or death situation. Contd...

  5. PhDAssistancedevelopMLalgorithmsusing Python,Hadoopframeworkandmanymoreto bothsecureaccesscontrolinNetworking platforms. Hiring our experts, you are assured with quality andon-time delivery. ML sets a new standard in the sphere of health carewith thiswork. Largedatasetsareanalyzedandpredictedusing machinelearningtechniques. Contd...

  6. These machine learning methods are utilized to categorize samples into treatmentgroups anddetect illness signs. Hospitalsmayusemachinelearningtokeepadministrativeoperations runningsmoothly andcure infectiousdiseases. MLmethodshavepreviouslybeenusedtotreatcancer,pneumonia, diabetes, Parkinson's disease, arthritis, neuromuscular disorders, and a variety of other diseases; in prediction and forecasting, they provide more than90% accuracy.

  7. MACHINELEARNINGANDCOVID-19 COVID-19 is a terrible pandemic illness that has claimed thelivesofcountlessindividualsallovertheworld. Thisvirushasnoknowntherapy. Based on symptoms described by the WHO and CDC, machine learningtechniqueshave been applied to predict whetherindividualsareinfectedwith thevirus. Onthebasisofx-raypictures,MLisalsousedto diagnosethe illness. Contd...

  8. Patients' chest scans, for example, can be utilized to determine whetherthey areinfected with COVID-19. Furthermore,MLcandetectsocialdistance;withthistechnique,wecan keepourselves secure fromCOVID-19. PhD Assistance experts has experience in handling dissertationand assignmentincomputer science research with assured 2:1 distinction. Talk to ExpertsNow

  9. PREDICTIONANDFORECASTING STRATEGIES Toanticipateandforecastfutureoccurrences,several machinelearningapproachesareutilized. Supportvectormachines,linearregression,logistic regression, naive Bayes, decision trees (random forest and ETC), K-nearest neighbor, and neural networks are someofthemachinelearningapproachesusedfor prediction(multilayerperceptron). Contd...

  10. Similarly, the naive approach, moving average, simple exponential smoothing, Holt's linear trend model, Moving Seasonal Average model, Holt-Winters Autoregressive Exxogenous Integrated Model (SARIMAX), and Autoregressive Integrated Moving Average Model are some ML techniquesused to forecast future events(ARIMA). Each approach has its own characteristics and is utilisedinadifferentwaydependingonthe accuracyresults. Contd...

  11. Timeseriesanalysis,whichisanessentialelementofML,maybeutilised forpredicting using ML. It's a form of univariate regression (independent feature), time, is used in which only one input to anticipate the target factor feature (dependentfeature). PhDAssistancehas vast experience in developingdissertation research topicsfor students pursuingthe UK dissertation in computer science. OrderNow

  12. FORECASTING Benefits of ML It's used to predict future event values, andit'sveryusefulforpredictingtheoccurrenceof respiratoryillnesseslike COVID-19. Positive instances are rising on a daily basis, thus it's important to estimate if the current ratio of increasing caseswillcontinuebased onpreviousdata. It is beneficial to the government because, based on the prognosis, it can organize resources to prevent illness transmission and act in the future so that the infection's growthrateslowsandfewerpeopleareaffected. Contd...

  13. Forecast values cannot be guaranteed because they are entirely dependent on historicalpatterns. Thisprojectedapproximationofoccurrences,ontheotherhand,mayaidauthoritiesin assessingfutureresource planningin thecaseof a pandemic, suchasCOVID-19.

  14. CONCLUSION TheCOVID-19epidemichasspreadacrosstheworld. Scientists have made every attempt to discover a cure; according to statements from the US and India, several vaccinations have been developed and are now being tested. Scientists have been using computers to make early predictionsfor along time. Contd...

  15. MLisbeingusedinalotofstudiestofightCOVID-19. COVID-19hasresultedinalargenumberoffatalitiesinseveralnations. Ifmoredatasetsareprovided,itisthoughtthattheARIMAmodel'sperformancecanbe enhancedor thatthe model canprovide more accuratedata.

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