بدائل البحث:
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
primary aim » primary care (توسيع البحث), primary data (توسيع البحث)
binary mapk » binary mask (توسيع البحث), binary image (توسيع البحث)
aim guided » ai guided (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
primary aim » primary care (توسيع البحث), primary data (توسيع البحث)
binary mapk » binary mask (توسيع البحث), binary image (توسيع البحث)
aim guided » ai guided (توسيع البحث)
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1
Datasets used for the study and their sources.
منشور في 2023"…Projecting into 2030, this study aimed at providing geographical information data for guiding future policies on siting required healthcare facilities. …"
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2
Overview of study assessments of the trial.
منشور في 2024"…</p><p>Methods</p><p>This is an interventional, non-randomized, open-label study, which aims to enroll 10 patients who will receive QPOP-guided chemotherapy at the time of first HGG recurrence following progression on standard first-line therapy. …"
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3
Image_4_Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangio...
منشور في 2023"…A series of different studies based on cancer classification have been developed, aimed to optimize therapy and predict and improve prognosis. …"
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4
Image_5_Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangio...
منشور في 2023"…A series of different studies based on cancer classification have been developed, aimed to optimize therapy and predict and improve prognosis. …"
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5
Image_3_Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangio...
منشور في 2023"…A series of different studies based on cancer classification have been developed, aimed to optimize therapy and predict and improve prognosis. …"
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6
Image_1_Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangio...
منشور في 2023"…A series of different studies based on cancer classification have been developed, aimed to optimize therapy and predict and improve prognosis. …"
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7
Image_2_Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangio...
منشور في 2023"…A series of different studies based on cancer classification have been developed, aimed to optimize therapy and predict and improve prognosis. …"
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8
DataSheet_1_Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal chola...
منشور في 2023"…A series of different studies based on cancer classification have been developed, aimed to optimize therapy and predict and improve prognosis. …"
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9
Flowchart of screening and inclusion.
منشور في 2023"…Existing point-of-care coagulation testing guided algorithms for optimizing perioperative coagulation management possibly need to be adjusted for these high-risk patients undergoing cardiac surgery.…"
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10
DataSheet_1_A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn...
منشور في 2022"…Background<p>This study aimed to determine an optimal machine learning (ML) model for evaluating the preoperative diagnostic value of ultrasound signs of breast cancer lesions for sentinel lymph node (SLN) status.…"
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11
Supplementary file 1_A study on a real-world data-based VTE risk prediction model for lymphoma patients.docx
منشور في 2025"…</p>Results<p>Combining different imputation, sampling, and feature selection strategies yielded 27 datasets, which were trained across nine algorithms to generate 243 models. The optimal model—Simp-SMOTE_rf_GBM, constructed using random forest imputation, SMOTE oversampling, and gradient boosting machine—achieved the highest predictive performance (AUC = 0.954). …"