بدائل البحث:
access classification » class classification (توسيع البحث), aes classification (توسيع البحث), actions classification (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data access » data across (توسيع البحث), water access (توسيع البحث)
binary arm » binary pairs (توسيع البحث)
arm driven » ai driven (توسيع البحث), atp driven (توسيع البحث)
access classification » class classification (توسيع البحث), aes classification (توسيع البحث), actions classification (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data access » data across (توسيع البحث), water access (توسيع البحث)
binary arm » binary pairs (توسيع البحث)
arm driven » ai driven (توسيع البحث), atp driven (توسيع البحث)
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1
Telehealth.
منشور في 2025"…The paper utilized the binary Logistic Regression and the random forest algorithm to predict the participants’ attitudes towards the ease of using Telehealth services. …"
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2
Kernel Density Plot of Effort Expectancy Scores.
منشور في 2025"…The paper utilized the binary Logistic Regression and the random forest algorithm to predict the participants’ attitudes towards the ease of using Telehealth services. …"
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3
Accessibility of translation initiation sites is the strongest predictor of heterologous protein expression in <i>E. coli</i>.
منشور في 2021"…C: ROC analysis shows that accessibility (opening energy −24:24) has the highest classification accuracy. …"
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4
Fairness in Machine Learning: A Review for Statisticians
منشور في 2025"…We organize these fairness-enhancing mechanisms into three categories—pre-processing, in-processing, and post-processing—corresponding to different stages of the machine learning lifecycle and varying levels of access to the underlying algorithm. The discussion focuses on fairness in binary classification models using numerical tabular data, which serve as a foundation for addressing fairness in more complex algorithms. …"
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5
Demonstration data on the set up of consumer wearable device for exposure and health monitoring in population studies
منشور في 2022"…The Variables included in the first three excel tabs were the following: Participant ID (Unique serial number for patient participating in the study), % Time Before (Percentage of time with data before protocol implementation), % Time After (Percentage of time with data after protocol implementation), Timestamp (Date and time of event occurrence), Indoor/Outdoor (Categorical- Classification of GPS signals to Indoor and Outdoor and null(missing value) based on distance from participant home), Filling algorithm (Imputation algorithm), SSID (Wireless network name connected to the smartwatch), Wi-Fi Signal Strength (Connection strength via Wi-Fi between smartwatch and home’s wireless network. (0 maximum strength), IMEI (International mobile equipment identity. …"
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6
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...
منشور في 2022"…The accuracy obtained by the proposed method was reported for binary classification. More importantly, the classification results of the less commonly reported MCIs vs. …"
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7
Table 1_Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study.docx
منشور في 2025"…</p>Results<p>Cross-validated on 32 subjects, the proposed approach achieved an accuracy of 71.9% for four-class severity classification and 87.5% for binary classification (AHI less than 15 or not).…"
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8
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…Data sources included peer-reviewed publications and reputable open-access repositories such as the NanoPharos database. …"