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journalStr:"Frontiers in pharmacology"
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PubPharm (8)
1
Sedum aizoon L. : a review of its history, traditional uses, nutritional value, botany, phytochemistry, pharmacology, toxicology, and quality control
enthalten in:
Frontiers in pharmacology
| 2024
von
Wang, B.
|
Ge, Z.
|
Qiu, J.
| +3
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2
Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring
enthalten in:
Frontiers in pharmacology
| 2024
von
Fu, R.
|
Hao, X.
|
Yu, J.
| +5
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3
The effect of Shengmai injection in patients with coronary heart disease in real world and its personalized medicine research using machine learning techniques
enthalten in:
Frontiers in pharmacology
| 2023
von
Ma, J.
|
Yu, Z.
|
Chen, T.
| +10
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4
Effectiveness and Economic Evaluation of Polyene Phosphatidyl Choline in Patients With Liver Diseases Based on Real-World Research
enthalten in:
Frontiers in pharmacology
| 2022
von
Fan, J.
|
Li, Y.
|
Yu, Z.
| +7
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5
An individualized medication model of sodium valproate for patients with bipolar disorder based on machine learning and deep learning techniques
enthalten in:
Frontiers in pharmacology
| 2022
von
Zheng, P.
|
Yu, Z.
|
Mo, L.
| +8
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6
A Risk Scoring Model for High-Dose Methotrexate-Induced Liver Injury in Children With Acute Lymphoblastic Leukemia Based on Gene Polymorphism Study
enthalten in:
Frontiers in pharmacology
| 2021
von
He, X.
|
Yao, P.
|
Li, M.
| +11
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7
Predicting Adverse Drug Events in Chinese Pediatric Inpatients With the Associated Risk Factors : A Machine Learning Study
enthalten in:
Frontiers in pharmacology
| 2021
von
Yu, Z.
|
Ji, H.
|
Xiao, J.
| +9
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8
Predicting Blood Concentration of Tacrolimus in Patients With Autoimmune Diseases Using Machine Learning Techniques Based on Real-World Evidence
enthalten in:
Frontiers in pharmacology
| 2021
von
Zheng, P.
|
Yu, Z.
|
Li, L.
| +10
CommentIn: Front Pharmacol. 2022 Nov 03;13:1000476. - PMID 36408265
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Zeitschrift: Frontiers in pharmacology
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Zeitschriftentitel
Frontiers in pharmacology
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8
Journal Article
5
machine learning
2
therapeutic drug monitoring
1
CatBoost
1
Chinese children
1
Review
1
Sedum aizoon L.
1
Shengmai
1
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active metabolites
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acute lymphoblastic leukemia
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adverse drug event (s)
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autoimmune disease
1
bipolar disorder
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blood concentration prediction
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children
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concentrations
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coronary heart disease
1
deep learning
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economic evaluation
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2024
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2021
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