Zobrazeno 1 - 10
of 7 976
pro vyhledávání: '"Richardson, D."'
Autor:
Ballouz, R. -L., Agrusa, H., Barnouin, O. S., Walsh, K. J., Zhang, Y., Binzel, R. P., Bray, V. J., DellaGiustina, D. N., Jawin, E. R., DeMartini, J. V., Marusiak, A., Michel, P., Murdoch, N., Richardson, D. C., Rivera-Valentín, E. G., Rivkin, A. S., Tang, Y.
Spectral characterization of near-Earth asteroids (NEAs) has revealed a continuum of space-weathered states for the surfaces of S-complex NEAs, with Q-class NEAs, an S-complex subclass, most closely matching the un-weathered surfaces of ordinary chon
Externí odkaz:
http://arxiv.org/abs/2406.04864
Autor:
Faisal, Muhammad, Mohammed, A. Mohammed, Richardson, D., Steyerberg, E.W., Fiori, M., Beatson, K.
Yes
The novel coronavirus SARS-19 produces 'COVID-19' in patients with symptoms. COVID-19 patients admitted to the hospital require early assessment and care including isolation. The National Early Warning Score (NEWS) and its updated version NE
The novel coronavirus SARS-19 produces 'COVID-19' in patients with symptoms. COVID-19 patients admitted to the hospital require early assessment and care including isolation. The National Early Warning Score (NEWS) and its updated version NE
Externí odkaz:
http://hdl.handle.net/10454/18599
Autor:
Faisal, Muhammad, Richardson, D., Scally, Andy J., Howes, R., Beatson, K., Speed, K., Mohammad, Mohammad A.
Yes
In English hospitals, the patient’s vital signs are monitored and summarised into a National Early Warning Score (NEWS). NEWS is more accurate than the quick sepsis related organ failure assessment (qSOFA) score at identifying patients wit
In English hospitals, the patient’s vital signs are monitored and summarised into a National Early Warning Score (NEWS). NEWS is more accurate than the quick sepsis related organ failure assessment (qSOFA) score at identifying patients wit
Externí odkaz:
http://hdl.handle.net/10454/17028
Autor:
Faisal, Muhammad, Scally, Andy J., Howes, R., Beatson, K., Richardson, D., Mohammed, Mohammed A.
Yes
We compare the performance of logistic regression with several alternative machine learning methods to estimate the risk of death for patients following an emergency admission to hospital based on the patients’ first blood test results and
We compare the performance of logistic regression with several alternative machine learning methods to estimate the risk of death for patients following an emergency admission to hospital based on the patients’ first blood test results and
Externí odkaz:
http://hdl.handle.net/10454/16623
Autor:
Faisal, Muhammad, Scally, Andy J., Richardson, D., Beatson, K., Howes, R., Speed, K., Mohammed, Mohammed A.
Yes
Objectives: To develop a logistic regression model to predict the risk of sepsis following emergency medical admission using the patient’s first, routinely collected, electronically recorded vital signs and blood test results and to valida
Objectives: To develop a logistic regression model to predict the risk of sepsis following emergency medical admission using the patient’s first, routinely collected, electronically recorded vital signs and blood test results and to valida
Externí odkaz:
http://hdl.handle.net/10454/14800
Autor:
Faisal, Muhammad, Richardson, D., Scally, Andy J., Howes, R., Beatson, K., Mohammed, Mohammed A.
Yes
OBJECTIVES: In the English National Health Service, the patient's vital signs are monitored and summarised into a National Early Warning Score (NEWS) to support clinical decision making, but it does not provide an estimate of the patient's r
OBJECTIVES: In the English National Health Service, the patient's vital signs are monitored and summarised into a National Early Warning Score (NEWS) to support clinical decision making, but it does not provide an estimate of the patient's r
Externí odkaz:
http://hdl.handle.net/10454/18010
Autor:
Faisal, Muhammad, Khatoon, Binish, Scally, Andy J., Richardson, D., Irwin, S., Davidson, R., Heseltine, D., Corlett, A., Ali, J., Hampson, R., Kesavan, S., McGonigal, G., Goodman, K., Harkness, M., Mohammed, Mohammed A.
Yes
Objectives: To compare the performance of a validated automatic computer-aided risk of mortality (CARM) score versus medical judgement in predicting the risk of in-hospital mortality for patients following emergency medical admission. Design
Objectives: To compare the performance of a validated automatic computer-aided risk of mortality (CARM) score versus medical judgement in predicting the risk of in-hospital mortality for patients following emergency medical admission. Design
Externí odkaz:
http://hdl.handle.net/10454/18015
Autor:
Dyson, J., Marsh, C., Jackson, N., Richardson, D., Faisal, Muhammad, Scally, Andy J., Mohammad, Mohammad A.
Yes
Objectives The Computer-Aided Risk Score (CARS) estimates the risk of death following emergency admission to medical wards using routinely collected vital signs and blood test data. Our aim was to elicit the views of healthcare practitioners
Objectives The Computer-Aided Risk Score (CARS) estimates the risk of death following emergency admission to medical wards using routinely collected vital signs and blood test data. Our aim was to elicit the views of healthcare practitioners
Externí odkaz:
http://hdl.handle.net/10454/17030
Autor:
Mohammad, Mohammad A., Faisal, Muhammad, Richardson, D., Scally, Andy J., Howes, R., Beatson, K., Irwin, S., Speed, K.
Yes
The National Early Warning Score (NEWS) is being replaced with NEWS2 which adds 3 points for new confusion or delirium. We estimated the impact of adding delirium on the number of medium/high level alerts that are triggers to escalate care.
The National Early Warning Score (NEWS) is being replaced with NEWS2 which adds 3 points for new confusion or delirium. We estimated the impact of adding delirium on the number of medium/high level alerts that are triggers to escalate care.
Externí odkaz:
http://hdl.handle.net/10454/17032
Autor:
Faisal, Muhammad, Scally, Andy J., Jackson, N., Richardson, D., Beatson, K., Howes, R., Speed, K., Menon, M., Daws, J., Dyson, J., Marsh, C., Mohammad, Mohammad A.
Yes
Objectives There are no established mortality risk equations specifically for emergency medical patients who are admitted to a general hospital ward. Such risk equations may be useful in supporting the clinical decision-making process. We ai
Objectives There are no established mortality risk equations specifically for emergency medical patients who are admitted to a general hospital ward. Such risk equations may be useful in supporting the clinical decision-making process. We ai
Externí odkaz:
http://hdl.handle.net/10454/17031