144 results
P
color fundus photographs
I/C
machine learning (ML) algorithms, human experts
O
diagnostic accuracy, sensitivity, and specificity of ML in diagnosing DR
P
pediatric patients with MRSA infection
I/C
vancomycin (VCM) trough concentrations, trough concentrations ≥ 10 μg/mL vs. < 10 μg/mL, trough concentrations ≥ 15 μg/mL vs. < 15 μg/mL
O
treatment failure rates, nephrotoxicity
P
3693 total patients
I/C
Low tidal volumes (5.6 [±0.9] mL/kg), Conventional tidal volume ventilation (8.1 [±3.1] mL/kg)
O
Oxygenation, compliance, length of stay, postoperative pulmonary complications
P
type 1 diabetes, type 2 diabetes
I/C
insulin degludec (IDeg), insulin glargine 300 units/mL (IGla-300), other long-acting insulins
O
change in glycated hemoglobin (HbA1c), any hypoglycemia, fasting plasma glucose (FPG), severe and nocturnal hypoglycemia
P
basal insulins
I/C
Neutral Protamine Hagedorn (NPH), ILPS, insulin glargine, detemir, degludec, insulin degludec, insulin degludec, 100 U/mL (IDeg-100), insulin degludec, 200 U/mL (IDeg-200), insulin lispro protamine (ILPS)
O
HbA1c reduction, weight change, hypoglycemic events
P
cardiac surgery patients
I/C
machine learning (ML) models, traditional logistic regression (LR)
O
operative mortality
P
T1DM, T2DM
I/C
insulin degludec (IDeg), insulin glargine (IGla), insulin glargine 100 U/ml (IGla100), insulin glargine 300 U/ml (IGla300)
O
glycemic variability, fasting blood glucose (FBG), standard deviation of blood glucose for 24 h, mean of 24-h blood glucose, mean amplitude of glycemic excursion, coefficient of variation for 24 h, mean of daily differences, area under the glucose curve, M-value
P
ECG data, ML algorithms, time series approach
I/C
artificial intelligence, machine learning, knowledge engineered rule-based algorithms
O
accuracy paradox, clinical knowledge, data scientists, physicians
P
shipbuilding workers
I/C
machine learning (ML) based strategy, NIHL-susceptible group, NIHL-resistant group
O
identification of genetic risk variants associated with NIHL risk
P
children
I/C
clinical, hormonal (laboratory) and imaging data-based machine learning (ML) models, existing studies
O
diagnostic value for Central Precocious Puberty (CPP)