Results 111 to 120 of about 8,394,614 (413)
Predicting Hospital Re-admissions from Nursing Care Data of Hospitalized Patients [PDF]
Readmission rates in the hospitals are increasingly being used as a benchmark to determine the quality of healthcare delivery to hospitalized patients. Around three-fourths of all hospital re-admissions can be avoided, saving billions of dollars. Many hospitals have now deployed electronic health record (EHR) systems that can be used to study issues ...
arxiv
Mental health at Tokanui in the early years [PDF]
Tokanui was the first hospital to be built entirely to the villa design, and as such, its physically separate wards presented considerable opportunity for the classification and treatment of patients.
Campion, Michelle Edith+2 more
core +1 more source
Cancers of unknown primary diagnosed during hospitalization: a population-based study [PDF]
Background: Cancers of Unknown Primary (CUP) are the 3-4th most common causes of cancer death and recent clinical guidelines recommend that patients should be directed to a team dedicated to their care.
Allardice, Gwen+5 more
core +1 more source
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros+6 more
wiley +1 more source
Public hospital spending in England: evidence from National Health Service administrative records
Health spending per capita in England has more than doubled since 1997, yet relatively little is known about how that spending is distributed across the population.
E. Kelly+2 more
semanticscholar +1 more source
Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut+2 more
wiley +1 more source
PURPOSE: Large electronic datasets are increasingly being used to evaluate healthcare delivery. The aim of this study was to compare information held by cancer registries with that of the General Practice Research Database (GPRD).
Beral+10 more
core +1 more source
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki+9 more
wiley +1 more source
Introduction: Burns can be very destructive, and severely endanger the health and lives of humans. It maybe cause disability and even psychological trauma in individuals. .
Nilgün Aksoy, Senay Arli, Ozlem Yigit
doaj
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data [PDF]
Recent works have shown that applying Machine Learning to Electronic Health Records (EHR) can strongly accelerate precision medicine. This requires developing models based on diverse EHR sources. Federated Learning (FL) has enabled predictive modeling using distributed training which lifted the need of sharing data and compromising privacy.
arxiv