Latest AI and machine learning research in sepsis for healthcare professionals.
AIMS: To investigate the prognostic value of the glucose-to-albumin ratio (GAR) in predicting 30-day...
BACKGROUND: Many machine learning (ML) algorithms have been used to develop surgical site infection ...
Parkinson's disease (PD) is characterised by a complex array of motor, psychiatric, and gastrointest...
OBJECTIVE: Early fluid resuscitation is crucial in the treatment of sepsis, yet the optimal dosage r...
INTRODUCTION: Antimicrobial resistance (AMR) is a global health challenge, and antimicrobial suscept...
BACKGROUND: The development of sepsis in the intensive care unit (ICU) is rapid, the golden rescue t...
This paper assesses the presentation of Gradient Boosting Regression (GBR), Ridge Regression (RR), a...
Human Immunodeficiency Virus (HIV) is a retrovirus that weakens the immune system, increasing vulner...
The increasing incidence of dengue virus (DENV) infections poses significant public health challenge...
Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays ...
BACKGROUND: Major Adverse Kidney Events within 30Â days (MAKE30) is an important patient-centered out...
This retrospective study leverages machine learning to determine the optimal timing for fracture rec...
BACKGROUND: Sepsis-associated liver injury (SALI) is a severe complication of sepsis that contribute...
Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) poses significant therapeutic challenge...
Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid m...
The prediction of in-hospital mortality in cancer patients with acute pulmonary embolism (APE) remai...
In recent years, the incidence of refractory Mycoplasma pneumoniae pneumonia (RMPP) has significantl...
By utilizing the synergistic effects of a dual-metal cobalt@copper electrode and advanced machine le...
Sepsis remains a leading cause of mortality in critical care settings, necessitating timely and accu...
Exploring the time-resolved dynamics of neurochemicals is essential for deciphering neuronal functio...
Postnatal growth faltering (PGF) significantly affects premature neonates, leading to compromised n...