Page 5 - Logistic Regression Analysis News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Logistic regression analysis. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Logistic Regression Analysis Today - Breaking & Trending Today

COVID-19 diseases severity categorization


Patients and Methods
Study Design
This retrospective observational study was conducted on COVID-19 patients (positive polymerase chain reaction [PCR] results via nasopharyngeal swab) between June 1 and mid July 2020. Patients were recruited from Kasr Al-Aini School of Medicine, Cairo University Hospitals.
We included all adult patients (18 −75 years) suffering from mild or moderate COVID-19 infection according to World Health Organization (WHO) criteria for the clinical management of COVID-19.
11 Patients were excluded if they had severe COVID-19 disease, were hospitalized, or had unavailable nasopharyngeal swab results.
According to WHO classification, COVID-19 infection was categorized into mild, moderate or severe infection. Mild COVID-19 defines as respiratory symptoms without evidence of pneumonia or hypoxia, while moderate or severe infection defined as presence of clinical and radiological evidence of pneumonia. In moderate cases, SpO2 ≥90% on room a ....

United States , Binshangul Gumuz , Cairo University Hospitals , Laboratory Characteristics Of The Studied Groups , World Health Organization , Kasr Al Aini School Of Medicine , Laboratory Characteristics Of The Studied Patients , Plain Language , Kasr Al Aini School , Cairo University , Logistic Regression Analysis , ஒன்றுபட்டது மாநிலங்களில் , கெய்ரோ பல்கலைக்கழகம் மருத்துவமனைகள் , உலகம் ஆரோக்கியம் ஆர்கநைஸேஶந் , வெற்று மொழி , கெய்ரோ பல்கலைக்கழகம் , லாஜிஸ்டிக் பின்னடைவு பகுப்பாய்வு ,

Camel Trypanosomosis in Yabelo and Gomole Districts in Ethiopia: Preva


Trypanosoma evansi and it is endemic in tropical and subtropical areas.
9 Camel trypanosomosis is the most prevalent disease in Ethiopia (22%) and serious economic loss results from morbidity (30.0%) and mortality (3.0%) of camels in the country.
1 Camel trypanosomosis or Surra is one of the major problems worldwide and it can attack camels at any age, even fetuses. In Ethiopia particularly in the Borana zone, the disease is widespread reducing thus the camel production and productivity.
10 Usually, trypanosomosis in camel results in anemia, weight loss, pale mucous membranes, enlarged lymph node, loss of milk and meat, and abortion.
The principle for the management of camel trypanosomosis was dependent on reducing the contact between camel and vectors. To effectively control camel trypanosomosis, it is crucial to know the magnitude and associated risk factors of the disease in the areas. This study helps to implement appropriate control and prevention methods. How ....

Addis Ababa , Afan Oromo , Laboratory Examination , Association Between Anemia , Sample Size , Abba Olla , Microsoft Excel , Camel Trypanosomosis , Between Anemia , Logistic Regression Analysis , Risk Factors , Presumptive Risk Factors , Multivariable Logistic Regression Model , Potential Risk Factors , அபான ஆரொமொ , மாதிரி அளவு , தந்தை ஓலா , மைக்ரோசாஃப்ட் எக்செல் , லாஜிஸ்டிக் பின்னடைவு பகுப்பாய்வு , ஆபத்து காரணிகள் , பொடெந்ஶியல் ஆபத்து காரணிகள் ,

[Full text] Prevalence and Risk Factors of Chronic Obstructive Pulmonary Disease i


1– 3
1Department of Respiratory and Critical Care Medicine, The First People’s Hospital of Kashi Prefecture, Kashi, Xinjiang, People’s Republic of China;
2The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China;
3The Third Comprehensive Department, The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, People’s Republic of China
These authors contributed equally to this work
Correspondence: Dayong Zheng
Department of Respiratory and Critical Care Medicine, The First People’s Hospital of Kashi Prefecture, 120 Yingbin Road, Kashi City, Xinjiang, 844000, People’s Republic of China
Tel +13570029702
Ji-Qiang Li ....

South Korea , Eteläuomen Läi , United States , Wang Chen , Single Factor Analysis Of The Research Population , Guang Zhou Graduate School Of Medicine , European Respiratory Society , World Health Organization , Potential Risk , Different Age , Different Geographical , Different Regions , Adjusted Prevalence , Risk Factors , Single Factor Analysis , Logistic Regression Model , Logistic Regression Analysis , Family History , Treatment Status , Different Severity , Professor Zhong , Guang Zhou Graduate School , தெற்கு கொரியா , ஒன்றுபட்டது மாநிலங்களில் , வாங் சென் , ஒற்றை காரணி பகுப்பாய்வு ஆஃப் தி ஆராய்ச்சி பாப்யுலேஶந் ,

Introduction To ASTM E3263-20 Standard Practice For Qualification Of Visual Inspection Of Pharmaceutical Manufacturing Equipment And Medical Devices For Residues


Introduction To ASTM E3263-20:
By Andrew Walsh, Ralph Basile, Ovais Mohammad, Stéphane Cousin, Mariann Neverovitch, and Osamu Shirokizawa
Part of the
series
Visual inspection has been widely used for many years by the pharmaceutical, biologics, and medical device industries after cleaning to release manufacturing equipment and devices. However, visual inspection has never been demonstrated to be an effective, reliable, or safe method to use for these inspections. Recently, the European Medicines Agency (EMA) issued a Q&A
1 to its guideline on determining health-based exposure limits (HBELs) that describes what criteria have to be met for visual inspection to be acceptable to the EMA for release of manufacturing equipment. Some form of guidance or a standard has been needed to guide these industries on how to meet these criteria and demonstrate that operators/QA inspectors are capable and qualified to accurately assess the absence or presence of residues on m ....

United States , United Kingdom , Ester Lovsin Barle , Miquel Romero Obon , Andreas Flueckiger , Davidg Dolan , Gabriela Cruz , Ioana Gheorghiev , Igor Gorsky , Prakash Patel , Zimmer Biomet , Robert Kowal , Mallory Degennaro , Vander Weilen , Stephen Spiegelberg , Delane Dale , Andrew Walsh , Spiro Megremis , Bristol Myers Squibb , Rodney Parker , Van Nostrand , Michel Crevoisier , Thomas Altmann , Sarra Boujelben , Norma Turner , Mariann Neverovitch ,