The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

MZ Hossain, E Daskalaki, A Brüstle… - BMC Medical Informatics …, 2022 - Springer
Background Multiple sclerosis (MS) is a neurological condition whose symptoms, severity,
and progression over time vary enormously among individuals. Ideally, each person living …

The Patient-Reported Experience Measure for Improving qUality of care in Mental health (PREMIUM) project in France: study protocol for the development and …

S Fernandes, G Fond, X Zendjidjian… - Patient preference …, 2019 - Taylor & Francis
Background Measuring the quality and performance of health care is a major challenge in
improving the efficiency of a health system. Patient experience is one important measure of …

Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees

J Rodríguez-Cuadrado, D Delgado-Gómez… - Expert Systems with …, 2020 - Elsevier
Over the last few years, there has been an increasing interest in the creation of
Computerized Adaptive Tests (CATs) based on Decision Trees (DTs). Among the available …

Shortening and Personalizing Psychodiagnostic Assessments with Decision Tree-Machine Learning Classifiers: An Application Example Based on the Patient Health …

D Colledani, E Robusto, P Anselmi - International Journal of Mental Health …, 2024 - Springer
The development of psychological assessment tools that accurately and efficiently classify
individuals as having or not a specific diagnosis is a major challenge for test developers and …

[HTML][HTML] Recursive partitioning vs computerized adaptive testing to reduce the burden of health assessments in cleft lip and/or palate: comparative simulation study

CJ Harrison, CJ Sidey-Gibbons, AF Klassen… - Journal of medical …, 2021 - jmir.org
Background Computerized adaptive testing (CAT) has been shown to deliver short,
accurate, and personalized versions of the CLEFT-Q patient-reported outcome measure for …

IT Support Ticket Completion Time Prediction

M Yıldız, A Alsaç, T Ulusinan, MC Ganiz… - 2022 7th …, 2022 - ieeexplore.ieee.org
Prediction of the time that will be spent on IT support tickets is very important for planning
and optimization of IT support services that are usually bound with service level agreements …

Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency

C Krantsevich, PR Hahn, Y Zheng… - The Annals of Applied …, 2023 - projecteuclid.org
Bayesian decision theory for tree-based adaptive screening tests with an application to youth
delinquency Page 1 The Annals of Applied Statistics 2023, Vol. 17, No. 2, 1038–1063 …

BİLGİSAYAR UYARLAMALI TEST (BUT) UYGULAMALARINDA REGRESYON AĞACI YAKLAŞIMI: REGRESYON KARAR AĞAÇLARI ile PSİKOMETRİK MODEL …

EG Özgür, BD Erdoğan - Ankara Sağlık Bilimleri Dergisi, 2020 - dergipark.org.tr
Amaç: Bu çalışma ile sağlık alanında kullanılan ölçeklerden yararlanarak, bireylerin
özürlülük değerlendirimi gibi, incelen özellik düzeylerini belirlemede kullanılan psikometrik …

Machine Learning for the Design of Screening Tests: General Principles and Applications in Criminology and Digital Medicine

C Krantsevich - 2023 - search.proquest.com
This dissertation explores applications of machine learning methods in service of the design
of screening tests, which are ubiquitous in applications from social work, to criminology, to …

[PDF][PDF] cat. dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees.

J Rodríguez-Cuadrado, JC Laria, D Delgado-Gómez - R J., 2021 - e-archivo.uc3m.es
This article introduces the cat. dt package for the creation of Computerized Adaptive Tests
(CATs). Unlike existing packages, the cat. dt package represents the CAT in a Decision Tree …