- Principles for the Validation and Use of Personnel Selection ...🔍
- Postnatal weight gain and retinopathy of prematurity in preterm infants🔍
- 2. Classification and Diagnosis of Diabetes🔍
- Development and validation of a semi|supervised deep learning ...🔍
- Retrospective Validation of the Postnatal Growth and Retinopathy of ...🔍
- ASSESSMENT OF NEONATAL CARE STANDARD BY THE ...🔍
- Guide to SuperLearner🔍
- Development and Validation of the American Heart Association's ...🔍
Validation of three weight gain|based algorithms as a screening tool ...
Principles for the Validation and Use of Personnel Selection ...
An organization that introduces an integrity test to screen appli- cants may assume that based on the validity evidence for the test, this selection procedure ...
Postnatal weight gain and retinopathy of prematurity in preterm infants
In a study conducted in Turkey to test the validity of this G-ROP model, sensitivity was determined to be 88.3% and 91.2% for any stage of ROP and ROP-requiring ...
2. Classification and Diagnosis of Diabetes: Standards of Medical ...
... validate this approach, and A1C is not recommended for screening (133). Regardless of age, weight loss or failure of expected weight gain is ...
Development and validation of a semi-supervised deep learning ...
3, Average, 0.8226, 0.7590, 0.7562, 0.7602. Ours, 0.8630, 0.7895, 0.7868, 0.8010. Table 2. Classification performance of different algorithms on the test set.
Retrospective Validation of the Postnatal Growth and Retinopathy of ...
Keywords: Birth weight, gestational age, preterm, screening, validation ... Several postnatal weight gain-based algorithms such as CO-ROP and ...
ASSESSMENT OF NEONATAL CARE STANDARD BY THE ...
WINROP, a predictive model based on weight gain, has been developed to reduce the number ... Validation of WINROP algorithm as a screening tool for.
It then creates an optimal weighted average of those models, aka an “ensemble”, using the test data performance. This approach has been proven ...
Development and Validation of the American Heart Association's ...
Assessment of absolute risk for cardiovascular disease (CVD) with multivariable risk prediction equations is recommended by multisociety ...
Efficacy of the WINROP algorithm for retinopathy of prematurity ...
... based on weekly postnatal weight gain[17]. This algorithm was widely validated and significantly reduced ROP screening according to various study cohorts[18]–[ ...
Algorithmic bias detection and mitigation: Best practices and policies ...
MIT researcher Joy Buolamwini found that the algorithms powering three commercially available facial recognition software systems were failing ...
Validation of the TWO-ROP Algorithm at a Tertiary Referral Center
... screening for infants who do not meet both gestational age (GA) and birth weight (BW) criteria. ... Three eyes of 2 patients (0.2%) had plus disease. No zone ...
A Systematic Review of Diagnostic Performance
Learning–Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic. Performance. Ophthalmology Retina, 3(4), 294-304. https ...
Clinical Models and Algorithms for the Prediction of Retinopathy of ...
... screenings every 3 weeks, adjusted based on ... Algorithms for the prediction of retinopathy of · prematurity based on postnatal weight gain.
a multinational retrospective cohort SOPHIA study - The Lancet
... weight loss trajectories after three ... based tool providing individual preoperative prediction of postoperative weight loss trajectory.
One Algorithm May Not Fit All: How Selection Bias Affects Machine ...
The term generalization in classic ML specifically refers to evaluation of internal validity, because test sets are drawn from the same study ...
Retrospective validation of the postnatal Growth and Retinopathy of ...
It is based on the assessment of 6 trigger criteria: gestational age (GA) less than 28 weeks, birth weight (BW) less than 1051 g, weight gain ...
Efficacy of the WINROP algorithm for retinopathy of prematurity ...
WINROP Algorithm Screening The WINROP system is an algorithm that could predict high risk of ROP based on weekly weight gain and the level of IGF-1[17]. We ...
... based validation study and revisions to the final C-CAT ... validate the tool and potentially adjust item weights and risk categories to better fit the.
oor weight gain or weight loss. P ersistent diarrhea in last 3 mo ... Validation of a screening tool to identify older children living ...
Hidden in Plain Sight — Reconsidering the Use of Race Correction ...
Physicians use these algorithms to individualize risk assessment and guide clinical decisions. By embedding race into the basic data and ...