Results 31 to 40 of about 3,392,111 (365)

COVID-19 diagnosis by routine blood tests using machine learning [PDF]

Scientific Reports, 2020
Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses.
M. Kukar, G. Guncar, T. Vovko, S. Podnar, P. Cernelc, M. Brvar, Mateja Zalaznik, Mateja Notar, Saso Moskon, Marko Notar   +9 more
semanticscholar   +1 more source

Vaccines and routine immunization strategies during the COVID-19 pandemic

Human Vaccines & Immunotherapeutics, 2020
Severe acute respiratory syndrome coronavirus 2 related disease (COVID-19) is now responsible for one of the most challenging and concerning pandemics.
E. Dinleyici, R. Borrow, M. Sáfadi, P. van Damme, F. Muñoz   +4 more
semanticscholar   +1 more source

Enhancing Diagnostic Decision-Making: Ensemble Learning Techniques for Reliable Stress Level Classification

Diagnostics, 2023
An intense level of academic pressure causes students to experience stress, and if this stress is not addressed, it can cause adverse mental and physical effects.
Raghav V. Anand, Abdul Quadir Md, Shabana Urooj, Senthilkumar Mohan, Mohamad A. Alawad, Adittya C.   +5 more
doaj   +1 more source

Rational Individual and Managerial Decision Model: A Critical Review of the Standard Rationality Hypothesis [PDF]

Business Ethics and Leadership
Classical economic analysis is based on the hypothesis of perfect rationality attributed to economic agents. Their behavior is considered, according to this analysis, in a narrow sense represented by Homo-oeconomicus. The latter is a calculating agent in
Miloudi Kobiyh, Adil El Amri
doaj   +1 more source

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

PLoS ONE, 2017
Background Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention.
S. Weng, J. Reps, J. Kai, J. Garibaldi, N. Qureshi   +4 more
semanticscholar   +1 more source

Knowledge and Awareness: Linear Regression [PDF]

Educational Process: International Journal, 2016
Knowledge and awareness are factors guiding development of an individual. These may seem simple and practicable, but in reality a proper combination of these is a complex task.
Monika Raghuvanshi
doaj   +1 more source

Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

Diagnostics, 2023
In the context of brain tumour response assessment, deep learning-based three-dimensional (3D) tumour segmentation has shown potential to enter the routine radiological workflow. The purpose of the present study was to perform an external evaluation of a
Peter Jagd Sørensen, Jonathan Frederik Carlsen, Vibeke Andrée Larsen, Flemming Littrup Andersen, Claes Nøhr Ladefoged, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Adam Espe Hansen   +7 more
doaj   +1 more source

Cost Effectiveness Analysis of Clinically Driven versus Routine Laboratory Monitoring of Antiretroviral Therapy in Uganda and Zimbabwe [PDF]

, 2012
BACKGROUND: Despite funding constraints for treatment programmes in Africa, the costs and economic consequences of routine laboratory monitoring for efficacy and toxicity of antiretroviral therapy (ART) have rarely been evaluated.
Amurwon, Jovita, Abdel G. Babiker (158530), Darbyshire Janet, Antonieta Medina Lara (168787), Antonieta Medina Lara, Charles F. Gilks (164480), Munderi Paula, Wakaholi, Barbara Nyanzi, Walker, A Sarah, Babiker, AG, Elly Katabira, Paula Munderi, Reid Andrew, Kasirye, Ronnie, James Hakim, Andrew Reid, Gibb, Diana M., Janet Darbyshire (59117), Jesse Kigozi (168794), Katabira Elly, Gilks, CF, Gilks, Charles F, Kityo Cissy, Darbyshire, J, Jovita Amurwon, Cissy Kityo, Walker A. Sarah, Kigozi, Jesse, Mugyenyi Peter, Barbara Nyanzi Wakaholi, Gibb, DM, Mugyenyi, Peter, Lara, AM, Walker, AS, Muchabaiwa Lazarus, Reid, Andrew, Peter Mugyenyi (168847), Darbyshire, Janet, Diana M. Gibb (164420), Medina Lara Antonieta, Ssali Francis, Kityo, Cissy, Grosskurth Heiner, Grosskurth, Heiner, Abdel G Babiker, Ruben E. Mujica Mota (168817), Kasirye Ronnie, Nyanzi Wakaholi, B, Jesse Kigozi, Walker, Ann, Wakaholi, BN, Team, Ssali, Francis, Ssali, F, Lazarus Muchabaiwa, Medina Lara, Antonieta, Hakim James, Walker, A. Sarah, Peter Mugyenyi, Janet Darbyshire, Gilks, Charles F., Team, DARTT, DART Trial Team, Diana M Gibb, Muchabaiwa, L, Elly Katabira (10701), A Sarah Walker, Kasirye, R, Ronnie Kasirye (168825), Paula Munderi (164469), Katabira, Elly, Muchabaiwa, Lazarus, Munderi, P, Hakim, J, Gibb, Diana M, Barbara Nyanzi Wakaholi (168811), Mota, Ruben E. Mujica, Gilks Charles F., Amurwon Jovita, Jovita Amurwon (168800), James Hakim (164478), Babiker, Abdel G, Amurwon, J, Charles F Gilks, Kityo, C, Nyanzi Wakaholi, Barbara, Babiker, Abdel G., Gibb Diana M., Mota, REM, Cissy Kityo (168842), Mujica Mota, Ruben E, Heiner Grosskurth (37057), Ruben E Mujica Mota, Reid, A, Medina-Lara, A, Kigozi Jesse, Francis Ssali, Mujica Mota Ruben E., Andrew Reid (168831), A. Sarah Walker (145609), Heiner Grosskurth, Lara, Antonieta Medina, Katabira, E, Ronnie Kasirye, Munderi, Paula, Grosskurth, H, Hakim, James, Francis Ssali (158549), Mujica-Mota, Ruben, Lazarus Muchabaiwa (168805), Kigozi, J, Mugyenyi, P, Nyanzi Wakaholi Barbara, Babiker Abdel G.   +113 more
core   +1 more source

Making a difference for children, young people and families’ lives in the North East: Recommendations for the next steps In using routinely collected data

, 2021
A Child Data Group was convened in the Autumn 2020 as the first step to producing an overview of childhood routine data capacity in the North East. The group was set up in a short-term, task and finish format, to meet for five times to discuss a range of
The Child Routine Data Group (11407010)
core   +1 more source

After another decade: LC-MS/MS became routine in clinical diagnostics.

Clinical Biochemistry, 2020
Tandem mass spectrometry - especially in combination with liquid chromatography (LC-MS/MS) - is applied in a multitude of important diagnostic niches of laboratory medicine.
C. Seger, Linda Salzmann
semanticscholar   +1 more source