The structure of genetic algorithm (GA). حسب Ali Akbar Moosavi (17769033)

"…First, physico-chemical inputs as bulk density (BD), initial water content (W_i), saturated water content (W_s), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"

Exclusion table. حسب Margaretha G. M. Roemer (9857054)

"…Guidelines often include an algorithm to find the underlying cause. Here, we compared diagnostic algorithms and suggested laboratory tests for anaemia in clinical practice guidelines in countries with similar healthcare systems, focusing on iron, vitamin B12 and folate deficiency in the general adult population.…"

Flowchart of selected guidelines. حسب Margaretha G. M. Roemer (9857054)

"…Guidelines often include an algorithm to find the underlying cause. Here, we compared diagnostic algorithms and suggested laboratory tests for anaemia in clinical practice guidelines in countries with similar healthcare systems, focusing on iron, vitamin B12 and folate deficiency in the general adult population.…"

Performance of the model on the held-out test set (N = 392). حسب David Goodman-Meza (4532713)

Dengue viral infection in Indonesia: Epidemiology, diagnostic challenges, and mutations from an observational cohort study حسب I Made Susila Utama (7522343)

"…Clinicians should consider following diagnostic algorithms that include DENV confirmatory testing. Policy-makers should prioritize development of laboratory capacity for diagnosis of DENV.…"

Participation rate by type of testing facility from round 1–7. حسب Bernard Nkrumah (166882)

Image_1_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

"…Our objective was to elaborate a diagnostic algorithm combining antigen rapid diagnostic tests, automated antigen dosing and rapid molecular tests and to assess its performance under routine conditions.…"

Table_1_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

"…Our objective was to elaborate a diagnostic algorithm combining antigen rapid diagnostic tests, automated antigen dosing and rapid molecular tests and to assess its performance under routine conditions.…"

Table_2_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

"…Our objective was to elaborate a diagnostic algorithm combining antigen rapid diagnostic tests, automated antigen dosing and rapid molecular tests and to assess its performance under routine conditions.…"

Image_2_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

"…Our objective was to elaborate a diagnostic algorithm combining antigen rapid diagnostic tests, automated antigen dosing and rapid molecular tests and to assess its performance under routine conditions.…"

Study datasets. حسب Hooman H. Rashidi (4621522)

Supplementary file 1_Impact of lymphocyte transformation test on the diagnostic accuracy of the culprit drug in drug-induced cytopenias: a case-control study.docx حسب Susana Martín-López (17722581)

"…</p>Methods<p>Suspected cytopenia cases were identified through the Proactive Pharmacovigilance Program for Laboratory Signals in Hospital or via pharmacovigilance consultation. …"

S1 Data - حسب Ali Akbar Moosavi (17769033)

"…First, physico-chemical inputs as bulk density (BD), initial water content (W_i), saturated water content (W_s), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"

Image 2_Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.jpeg حسب Jingya Liu (13338460)

"…</p>Methods<p>In this study, we employed 54 clinical and conventional laboratory parameters. By optimally combining multiple feature selection methods and machine learning algorithms, we developed 7 machine learning models with varying feature set sizes. …"

Data Sheet 1_Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.doc... حسب Jingya Liu (13338460)

"…</p>Methods<p>In this study, we employed 54 clinical and conventional laboratory parameters. By optimally combining multiple feature selection methods and machine learning algorithms, we developed 7 machine learning models with varying feature set sizes. …"

Image 1_Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.jpeg حسب Jingya Liu (13338460)

"…</p>Methods<p>In this study, we employed 54 clinical and conventional laboratory parameters. By optimally combining multiple feature selection methods and machine learning algorithms, we developed 7 machine learning models with varying feature set sizes. …"

Table 3_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Table 2_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Table 1_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Data Sheet 1_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.pdf حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"