Results 11 to 20 of about 65,493 (306)
Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications [PDF]
, 2023 Outcome prognostication in comatose patients after cardiac arrest (CA) remains to date a challenge. The major determinant of clinical outcome is the post-hypoxic/ischemic encephalopathy.
Zubler, Frederic +3 more
core +1 more source
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
Frontiers in Public Health, 2021 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
Postresuscitation care and prognostication
, 2021 Purpose of review: Most patients who are successfully resuscitated after cardiac arrest are initially comatose and require mechanical ventilation and other organ support in an ICU.
Abella, Benjamin S., Nolan, Jerry P.
core +1 more source
Defining priorities in prognostication research : results of a consensus workshop [PDF]
, 2010 Purpose: To establish consensus among palliative care researchers on the priorities for prognostication research. Methods: A nominal group technique was employed involving palliative care researchers attending a workshop within a scientific meeting on ...
Stevinson, C. +3 more
core +1 more source
FOXE1 polymorphism rs965513 predisposes to thyroid cancer in a European cohort
Endocrine Oncology, 2023 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
South Asian Journal of Cancer, 2018 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
Current Oncology, 2023 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
RUDN Journal of Medicine, 2018 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
Infectious Disease Reports, 2021 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
Frontiers in Oncology, 2022 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