Background: Python and MATLAB both are common tools used for predictive modelling applications, not only in healthcare. In our predictive modelling group, both tools are widely used. None of the two tools is optimal for all tasks along the value chain of predictive modelling in healthcare.
Objectives: The aim of this study was to explore different ways to extend our MATLAB-based toolset with Python functions.
Methods: Pre-existing interfaces between MATLAB and Python have been evaluated and more comprehensive interfaces have been designed to exchange even complex data formats such as MATLAB tables.
Results: The interfaces have successfully been implemented and they were validated in a Natural Language Processing scenario based on free-text notes from a telehealth services for heart failure patients.
Conclusion: Integration of Python modules in our MATLAB toolset is possible. Further improvements especially in terms of performance, are required if large datasets need to be exchanged. A big advantage of our concept is that tabular data can be exchanged between MATLAB and Python without loss and the Python functions are called dynamically via the interface.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3233/SHTI220369 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Splice Index as a prognostic biomarker of strength and function in myotonic dystrophy type 1.
J Clin Invest
January 2025
Center for Inherited Myology Research, Virginia Commonwealth University, Richmond, United States of America.
Background: Myotonic dystrophy type 1 (DM1) is a multisystemic, CTG repeat expansion disorder characterized by a slow, progressive decline in skeletal muscle function. A biomarker correlating RNA mis-splicing, the core pathogenic disease mechanism, and muscle performance is crucial for assessing response to disease-modifying interventions. We evaluated the Myotonic Dystrophy Splice Index (SI), a composite RNA splicing biomarker incorporating 22 disease-specific events, as a potential biomarker of DM1 muscle weakness.
View Article and Find Full Text PDFOropharyngeal cancer incidence and trends in Brazil.
Cancer Epidemiol Biomarkers Prev
January 2025
A.C. Camargo Cancer Center, São Paulo, Brazil.
Background: Oropharyngeal cancer (OPC) incidence is rising globally, predominantly in high-income countries due to human papillomavirus (HPV) infection. However, further data on OPC incidence in Brazil is needed. The aim of this study was to estimate the incidence, trends, and predictions of OPC in Brazilian population-based cancer registries (PBCRs) by period, sex, and topography.
View Article and Find Full Text PDFExternal Validation of a 5-Factor Risk Model for Breast Cancer-Related Lymphedema.
JAMA Netw Open
January 2025
Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Importance: Secondary lymphedema is a common, harmful side effect of breast cancer treatment. Robust risk models that are externally validated are needed to facilitate clinical translation. A published risk model used 5 accessible clinical factors to predict the development of breast cancer-related lymphedema; this model included a patient's mammographic breast density as a novel predictive factor.
View Article and Find Full Text PDFIn situ RAS:RAF binding correlates with response to KRASG12C inhibitors in KRASG12C--mutant non-small cell lung cancer.
Clin Cancer Res
January 2025
Moffitt Cancer Center, Tampa, Florida, United States.
Purpose: Therapeutic efficacy of KRASG12C(OFF) inhibitors (KRASG12Ci) in KRASG12C-mutant non-small cell lung cancer (NSCLC) varies widely. The activation status of RAS signaling in tumors with KRASG12C mutation remains unclear, as its ability to cycle between the active GTP-bound and inactive GDP-bound states may influence downstream pathway activation and therapeutic responses. We hypothesized that the interaction between RAS and its downstream effector RAF in tumors may serve as indicators of RAS activity, rendering NSCLC tumors with a high degree of RAS engagement and downstream effects more responsive to KRASG12Ci compared to tumors with lower RAS---RAF interaction.
View Article and Find Full Text PDFCut-Off Values Able to Identify Migraine Patients With Increased Pressure-Pain Sensitivity Independent of the Migraine Cycle Through a Single Assessment: A Secondary Analysis of a Multicentre, Cross-Sectional, Observational Study.
Eur J Pain
February 2025
Department of Health Science and Technology, Center for Pain and Neuroplasticity (CNAP), SMI, School of Medicine, Aalborg University, Aalborg, Denmark.
Aim: Identify values that could predict the presence of increased pressure-pain sensitivity independent of the migraine cycle through a single assessment.
Methods: This was a secondary analysis of a previous study in which 198 episodic and chronic migraine patients were assessed during all phases of the migraine cycle. Pressure pain threshold (PPT) was assessed over the temporalis, cervical spine, hand, and leg.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!