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topic_facet:"machine learning"
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PubPharm (12)
1
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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2
Predicting plasma concentration of quetiapine in patients with depression using machine learning techniques based on real-world evidence
enthalten in:
Expert review of clinical pharmacology
| 2023
von
Yang, L.
|
Zhang, J.
|
Yu, J.
| +4
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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
A machine learning model for predicting blood concentration of quetiapine in patients with schizophrenia and depression based on real-world data
enthalten in:
British journal of clinical pharmacology
| 2023
von
Hao, Y.
|
Zhang, J.
|
Yang, L.
| +6
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5
A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques
enthalten in:
Frontiers in medicine
| 2022
von
Zhang, Q.
|
Tian, X.
|
Chen, G.
| +10
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6
Predicting Lapatinib Dose Regimen Using Machine Learning and Deep Learning Techniques Based on a Real-World Study
enthalten in:
Frontiers in oncology
| 2022
von
Yu, Z.
|
Ye, X.
|
Liu, H.
| +8
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7
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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8
An Ensemble Model for Prediction of Vancomycin Trough Concentrations in Pediatric Patients
enthalten in:
Drug design, development and therapy
| 2021
von
Huang, X.
|
Yu, Z.
|
Bu, S.
| +8
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9
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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10
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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Thema: machine learning
Medienart
12
Aufsätze
12
E-Artikel
12
E-Ressourcen
Zeitschriftentitel
5
Frontiers in pharmacology
2
Frontiers in oncology
1
British journal of clinical pharmacology
1
Drug design, development and therapy
1
Expert review of clinical pharmacology
1
Frontiers in medicine
1
Frontiers in psychiatry
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Thema
12
Journal Article
machine learning
3
CatBoost
3
XGBoost
3
prediction model
2
2S3PL1B6UJ
2
Quetiapine Fumarate
2
blood concentration prediction
2
deep learning
2
prediction
2
quetiapine
2
tacrolimus
2
therapeutic drug monitoring
1
6Q205EH1VU
1
Antipsychotic Agents
1
Chinese children
1
Shengmai
1
TabNet
1
Vancomycin
1
active moiety
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Erscheinungszeitraum
1
2024
3
2023
3
2022
4
2021
1
2020
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