AUROC scores with 95% CI from Day 1 to Day 4 for different algorithms. حسب Armin Abdollahi (21440129)

Optimal image settings for object detection of Iba1 immunolabelled cells in DAB. حسب Danish M. Anwer (15383441)

Optimized model prediction performance. حسب Guang Tu (22054865)

Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions. حسب Jari Turkia (17912475)

Intake levels of potassium and phosphorous from the collected food records and their observed effects on these concentrations. حسب Jari Turkia (17912475)

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties حسب Tamara Cantú Maltauro (15199725)

DataSheet_1_Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.pdf حسب Marcel Dahms (9160118)

List of data tables. حسب Mukhtar Ijaiya (18935122)

"…We trained multiple supervised ML algorithms on de-identified client-level electronic medical records data from a cohort of PLHIV across four Nigerian states. …"

Personal details that are used as predictors. حسب Jari Turkia (17912475)

"…Considering the limited research on the reactions of ESRD patients, we collected dietary intake data and corresponding laboratory analyses from a cohort of 37 patients. …"

Nutrient predictors of the model. حسب Jari Turkia (17912475)

"…Considering the limited research on the reactions of ESRD patients, we collected dietary intake data and corresponding laboratory analyses from a cohort of 37 patients. …"

Figure shows normalized root mean square error (NRMSE) of the two-level model for each patient. حسب Jari Turkia (17912475)

Sample multi-parameter patient data from the MIMIC-III clinical database: This figure demonstrates the complicated, high-resolution time-series data monitored on a single patient o... حسب Medhat A. Tawfeek (22522087)

Flow chart of data source inclusion. حسب Mukhtar Ijaiya (18935122)

"…We trained multiple supervised ML algorithms on de-identified client-level electronic medical records data from a cohort of PLHIV across four Nigerian states. …"

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)

"…Through sparse partial least squares discriminant analysis, the most informative features were extracted from the dataset. Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

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

"…We trained multiple supervised ML algorithms on de-identified client-level electronic medical records data from a cohort of PLHIV across four Nigerian states. …"

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

"…We trained multiple supervised ML algorithms on de-identified client-level electronic medical records data from a cohort of PLHIV across four Nigerian states. …"

Local alignment regime and symbols.pdf حسب Paul A. Gagniuc (1818325)

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)

"…Through sparse partial least squares discriminant analysis, the most informative features were extracted from the dataset. 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)

"…Through sparse partial least squares discriminant analysis, the most informative features were extracted from the dataset. 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)

"…Through sparse partial least squares discriminant analysis, the most informative features were extracted from the dataset. Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"