Results of algorithm validation. حسب Lorenzo Jaime Yu Flores (11414024)

Data_Sheet_1_Accuracy of Deep Neural Network in Triaging Common Skin Diseases of Primary Care Attention.docx حسب Mara Giavina-Bianchi (11334102)

"…Deep neural networks are accurate in triaging, correct referral and prioritizing common chronic skin diseases related to primary care attention. They can also help health-care systems optimize patients' access to dermatologists.…"

Table_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.pdf حسب Michael Moor (10887888)

Data_Sheet_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.PDF حسب Michael Moor (10887888)

Image_1_A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.JPEG حسب Rujia Miao (12075653)

"…Introduction<p>An easily accessible and cost-free machine learning model based on prior probabilities of vascular aging enables an application to pinpoint high-risk populations before physical checks and optimize healthcare investment.…"

Table_1_A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.DOC حسب Rujia Miao (12075653)

"…Introduction<p>An easily accessible and cost-free machine learning model based on prior probabilities of vascular aging enables an application to pinpoint high-risk populations before physical checks and optimize healthcare investment.…"

Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf حسب Ka Keat Lim (8915009)

Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf حسب Ka Keat Lim (8915009)

Table 1_The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients.docx حسب Zhou Liu (1506679)

"…Background<p>Acute upper gastrointestinal bleeding (AUGIB) is one of the most common critical diseases encountered in the intensive care unit (ICU), with a mortality rate ranging from 15 to 20%. …"

Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield... حسب Uttam Khatri (12689072)

Supplementary Material for: The importance of early diagnosis and intervention in chronic kidney disease: Calls-to-action from nephrologists based mainly in Central/Eastern Europe حسب Covic A. (4148122)

"…Lack of awareness of CKD, substandard indicators of kidney function, suboptimal screening rates, and geographical disparities in reimbursement often hamper access to effective care. Key Messages Our key calls-to-action to address these unmet needs, thus improving the standard of care for patients with CKD, are: increase disease awareness, such as through education; encourage provision of financial support for patients; develop screening algorithms; revisit primary care physician referral practices; and create epidemiological databases that rectify the paucity of data on early-stage disease. …"

Data_Sheet_1_Pre-hospital Triage of Acute Ischemic Stroke Patients—Importance of Considering More Than Two Transport Options.docx حسب Ludwig Schlemm (4844853)

"…Prehospital triage algorithms to determine the optimal transport destination for AIS patients with unknown vessel status have so far only considered two alternatives: the nearest comprehensive (CSC) and the nearest primary stroke center (PSC).…"

Data_Sheet_1_Pre-hospital Triage of Acute Ischemic Stroke Patients—Importance of Considering More Than Two Transport Options.docx حسب Ludwig Schlemm (4844853)

"…Prehospital triage algorithms to determine the optimal transport destination for AIS patients with unknown vessel status have so far only considered two alternatives: the nearest comprehensive (CSC) and the nearest primary stroke center (PSC).…"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"

The study flowchart. حسب Nguyen Tat Thanh (10296398)

"…These results support the use of LAR as a practical and accessible tool for risk stratification in pediatric dengue care.…"

Missing value chart of candidate variables. حسب Nguyen Tat Thanh (10296398)

"…These results support the use of LAR as a practical and accessible tool for risk stratification in pediatric dengue care.…"