Machine Learning and Pharmacotherapy

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ORIGINAL RESEARCH

Published on 28 Feb 2025

Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients

Xingyue Zheng
Liuyun Wu
Lian Li
Yin Wang
Qinan Yin
Lizhu Han
Xingwei Wu
Yuan Bian

doi 10.3389/fphar.2025.1448879

201 views

ORIGINAL RESEARCH

Published on 29 Jul 2024

Machine learning-based prediction model for the efficacy and safety of statins

Yu Xiong
Xiaoyang Liu
Qing Wang
Li Zhao
Xudong Kong
Chunhe Da
Zuohuan Meng
Leilei Qu
Qinfang Xia
1 more
Pengmei Li

doi 10.3389/fphar.2024.1334929

1,283 views

ORIGINAL RESEARCH

Published on 08 Apr 2024

Identification of hub genes and potential molecular mechanisms related to drug sensitivity in acute myeloid leukemia based on machine learning

Boyu Zhang
Haiyan Liu
Fengxia Wu
Yuhong Ding
Jiarun Wu
Lu Lu
Akhilesh K. Bajpai
Mengmeng Sang
Xinfeng Wang

doi 10.3389/fphar.2024.1359832

1,471 views

ORIGINAL RESEARCH

Published on 06 Mar 2024

Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring

Ran Fu
Xin Hao
Jing Yu
Donghan Wang
Jinyuan Zhang
Ze Yu
Fei Gao
Chunhua Zhou

doi 10.3389/fphar.2024.1289673

1,424 views
5 citations

ORIGINAL RESEARCH

Published on 10 Jan 2024

Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients

Zihan Wang
Ziyi Sun
Linghua Yu
Zhitian Wang
Lin Li
Xiaoyan Lu

doi 10.3389/fphar.2023.1334439

1,893 views
4 citations

ORIGINAL RESEARCH

Published on 05 Jan 2024

A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning

Yu Xiong
Yu-Meng Liu
Jia-Qiang Hu
Bao-Qiang Zhu
Yuan-Kui Wei
Yan Yang
Xing-Wei Wu
En-Wu Long

doi 10.3389/fphar.2023.1259596

2,028 views
2 citations

ORIGINAL RESEARCH

Published on 14 Sep 2023

The effect of Shengmai injection in patients with coronary heart disease in real world and its personalized medicine research using machine learning techniques

Jing Ma
Ze Yu
Ting Chen
Ping Li
Yan Liu
Jihui Chen
Chunming Lyu
Xin Hao
Jinyuan Zhang
3 more
Shuhong Bu

doi 10.3389/fphar.2023.1208621

1,182 views
1 citation

ORIGINAL RESEARCH

Published on 30 Jun 2023

Development and economic assessment of machine learning models to predict glycosylated hemoglobin in type 2 diabetes

Yi-Tong Tong
Guang-Jie Gao
Huan Chang
Xing-Wei Wu
Meng-Ting Li

doi 10.3389/fphar.2023.1216182

2,149 views
4 citations

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Frontiers in Pharmacology

Experimental Pharmacology and Drug Discovery

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Articles

Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients

Machine learning-based prediction model for the efficacy and safety of statins

Identification of hub genes and potential molecular mechanisms related to drug sensitivity in acute myeloid leukemia based on machine learning

Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring

Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients

A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning

The effect of Shengmai injection in patients with coronary heart disease in real world and its personalized medicine research using machine learning techniques

Development and economic assessment of machine learning models to predict glycosylated hemoglobin in type 2 diabetes

Frontiers in Pharmacology

Experimental Pharmacology and Drug Discovery