Results 11 to 20 of about 98,345 (305)
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
Background: Although numerous studies are conducted every year on how to reduce the fatality rate associated with sepsis, it is still a major challenge faced by patients, clinicians, and medical systems worldwide.
Dong Wang +28 more
doaj +1 more source
Prognosis and prognostic research: validating a prognostic model
Prognostic models are of little clinical value unless they are shown to work in other samples.
Altman, D +3 more
openaire +4 more sources
FOXE1 polymorphism rs965513 predisposes to thyroid cancer in a European cohort
Objective: FOXE1 is an intronless gene on chromosome 9 which plays a significant role in thyroid morphogenesis. Mutations in FOXE1 are associated with thyroid phenotypes including congenital hypothyroidism, thyroid dysgenesis and thyroid cancer.
Patrick W Owens +8 more
doaj +1 more source
Truth disclosure on prognosis: Is it ethical not to communicate personalised risk of death? [PDF]
Predicting risk of death based on personalised and objective clinical indicators is an improvement over intuition and clinical judgement. Risk assessment can benefit clinicians by improving prognostic certainty, and truth disclosure helps patients and ...
Brabrand, Mikkel +4 more
core +1 more source
Introduction: The ultimate goal for CML management is risk stratification of the patients to design the appropriate treatment approach. The Sokal, Euro and EUTOS risk scores were established to prognosticate the patients on therapy.
Sunita Chhikara +7 more
doaj +1 more source
Radiotherapy (RT) is often utilized for symptom control at the end of life. Palliative RT (pRT) may not be taken to completion by patients, thus decreasing clinical benefits and adversely impacting resource allocation.
Siddhartha Goutam +7 more
doaj +1 more source
A MODERN VIEW ON THE PROBLEM OF TREATMENT OF UROTHELIAL CANCER
Urothelial cancer (UC) is one of the leading onco-urological diseases. The lack of clinical manifestations of the disease at earlier stages does not allow assigning an adequate therapy in good time.
S V Salnikova, T A Slavyanskaya
doaj +1 more source
A Dynamic Bayesian Model for Identifying High-Mortality Risk in Hospitalized COVID-19 Patients
As Coronavirus Disease 2019 (COVID-19) hospitalization rates remain high, there is an urgent need to identify prognostic factors to improve patient outcomes.
Amir Momeni-Boroujeni +4 more
doaj +1 more source
Prognosticators and Prognostic Nomograms for Leiomyosarcoma Patients With Metastasis
Individual survival prediction and risk stratification are of vital importance to optimize the individualized treatment of metastatic leiomyosarcoma (LMS) patients. This study aimed to identify the prognostic factors for metastatic LMS patients and establish prognostic models for overall survival (OS) and cancer-specific survival (CSS). The data of LMS
YuChi Zou +6 more
openaire +3 more sources
A critical literature review exploring the challenges of delivering effective palliative care to older people with dementia in the acute hospital setting [PDF]
Aim. This paper considers the challenges of delivering effective palliative care to older people with dementia and the possible strategies to overcome barriers to endof-life care in these patients. Background.
Birch, Deborah, Draper, Janet
core +1 more source

