Variants of history models used for training the general model using data of 40 patients. حسب Tomasz Gutowski (17200042)

Comparative analysis of model performance indicators and diagnostic visualizations for full-featured and simplified models across ten algorithms. حسب Aref Andishgar (18155608)

Simulated trajectories from real data, optimal schedule, and nearest optimal schedule. حسب Samuel Christensen (9922554)

History of the total number of births to U.S. residents per year and the adoption growth of the <i>2003 Revised Birth Certificate</i>. حسب Karl W. Schulz (14309461)

Data_Sheet_1_An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.pdf حسب Luuk A. van Duuren (12001607)

The proposed framework model–HMLFSM. حسب Murad Al-Rajab (10661360)

"…Machine Learning (ML) algorithms have emerged as a promising approach for non-invasive colon cancer classification using genetic data or patient demographics and medical history. …"

Comparison of the proposed model, with others in the literature. حسب Murad Al-Rajab (10661360)

The number of relevant genes (features) selected by the proposed model on each phase. حسب Murad Al-Rajab (10661360)

Predictive model-building process. حسب Mukhtar Ijaiya (18935122)

"…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …"

Comparison of models performance metrics. حسب Mukhtar Ijaiya (18935122)

"…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …"

Schematic architecture of the proposed hybrid SVM-PSO-AI framework for cardiovascular risk prediction: It has four input vectors V1 (Medical Imaging), V2 (Clinical Data), V3 (Genom... حسب Medhat A. Tawfeek (22522087)

Consort diagram for the study. حسب Nicola Lazzarini (3528197)

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Performance confidence intervals. حسب Nicola Lazzarini (3528197)

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Baseline characteristics of patients in the study cohort. حسب Nicola Lazzarini (3528197)

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Input features. حسب Nicola Lazzarini (3528197)

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Most important predictive features. حسب Nicola Lazzarini (3528197)

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Age feature importance. حسب Nicola Lazzarini (3528197)

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Machine learning vs. clinicians. حسب Nicola Lazzarini (3528197)

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ROC curves. حسب Nicola Lazzarini (3528197)

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PR curves. حسب Nicola Lazzarini (3528197)

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