首页|University of Oxford Reports Findings in COVID-19 (At-admission prediction of mo rtality and pulmonary embolism in an international cohort of hospitalised patien ts with COVID-19 using statistical and machine learning methods)

University of Oxford Reports Findings in COVID-19 (At-admission prediction of mo rtality and pulmonary embolism in an international cohort of hospitalised patien ts with COVID-19 using statistical and machine learning methods)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According tonews reporting from Oxford, United Kin gdom, by NewsRx journalists, research stated, “By September2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting inover 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with smallunrepresentative samples and with methodological limitation s.”

OxfordUnited KingdomEuropeCOVID-19COVID-19 ModelCardiovascular Diseases and ConditionsCoronavirusCyborgsDisease ModelEmbolismEmbolism and ThrombosisEmerging TechnologiesEpidemi ologyHealth and MedicineHospitalsLung Diseases and ConditionsMachine Lea rningMortalityPulmonary EmbolismRNA VirusesRespiratory Tract Diseases an d ConditionsRisk and PreventionSARS-CoV-2Severe Acute Respiratory Syndrome Coronavirus 2Vascular Diseases and ConditionsViralVirology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN：
年,卷(期)：2024.(Jul.30)