Predicting Sensory Block Level in Caudal Anesthesia Based on Sacral Canal Anatomical Parameters and Height: Development of an Ordinal Logistic Regression Model and Nomogram. [PDF]
Li Z +5 more
europepmc +1 more source
Case‐Mix Adjustment of Multidimensional Patient‐Reported Outcomes to Assess Hospital Performance
ABSTRACT Multidimensional patient‐reported outcome measures (PROMs) are increasingly used to compare the performance of health care providers. Meaningful comparisons require the data to be adjusted for differences in case‐mix. The common approach in the literature is to aggregate PROM data into univariate summary scores prior to case‐mix adjustment. In
Nils Gutacker, Yuanyuan Gu
wiley +1 more source
Clinically aligned COPD severity prediction using ordinal neural networks. [PDF]
Yata VK +4 more
europepmc +1 more source
ABSTRACT Background Dysphagia is a common side‐effect after radiotherapy in head and neck cancer patients. This randomized study aimed to evaluate the effect of the shaker head‐lift exercise (HLE) after 12 months with flexible endoscopic evaluation of swallowing (FEES). Methods Patients were randomly assigned to the intervention (n = 30) or the control
Signe Rödseth Smith +3 more
wiley +1 more source
Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning. [PDF]
Lee EJ, Kim S, Lee HJ, Jhong JH.
europepmc +1 more source
Chemotherapy‐induced nausea and vomiting (CINV) remains a significant clinical problem despite modern antiemetics. In particular, antiemetic strategies for emerging cancer therapies lack detailed evaluation. This randomized trial analyzed hourly CINV data for patients with early breast cancer who received either docetaxel plus cyclophosphamide (TC) or ...
Manuel Hörner +16 more
wiley +1 more source
Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging. [PDF]
Hoebel KV +9 more
europepmc +1 more source
Pain, Sleep Latency, and Mental and Physical Health in Individuals with Self-Reported Hypermobile Ehlers-Danlos Syndrome. [PDF]
Tudini F, Crews-Stowe C, Levine D.
europepmc +1 more source
A two-wave longitudinal panel dataset on United States public acceptance of Precision Livestock Farming technology in swine production. [PDF]
Akinyemi BE, Siegford JM.
europepmc +1 more source
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Bayesian Hierarchical Ordinal Regression
2005We present a Bayesian approach to ordinal regression. Our model is based on a hierarchical mixture of experts model and performs a soft partitioning of the input space into different ranks, such that the order of the ranks is preserved. Experimental results on benchmark data sets show a comparable performance to support vector machine and Gaussian ...
Ulrich Paquet +2 more
openaire +1 more source

