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Comparing the downstream costs and healthcare utilization associated with the use of low-dose computed tomography (LDCT) in lung cancer screening in patients with and without alzheimer’s disease and related dementias (ADRD)

CITE Title : Comparing the downstream costs and healthcare utilization associated with the use of low-dose computed tomography (LDCT) in lung cancer screening in patients with and without alzheimer’s disease and related dementias (ADRD) Personal Author(s) : Zhang, Yahan;Bian, Jiang;Huo, Jinhai;Yang, Shuang;Guo, Yi;Shao, Hui; Published Date : 10 2021;10-2021; Source : Curr Med Res Opin. 37(10):1731-1737 URL : https://stacks.cdc.gov/view/cdc/112134 Zhang, Yahan et al. (2021). Comparing the downstream costs and healthcare utilization associated with the use of low-dose computed tomography (LDCT) in lung cancer screening in patients with and without alzheimer’s disease and related dementias (ADRD). 37(10). Zhang, Yahan et al. "Comparing the downstream costs and healthcare utilization associated with the use of low-dose computed tomography (LDCT) in lung cancer screening in patients with and without alzheimer’s disease and related dementias (ADRD)" 37, no. 10 (2021) Zhang, Yahan et al. "Comparing the downstream costs and healthcare utilization associated with the use of low-dose computed tomography (LDCT) in lung cancer screening in patients with and without alzheimer’s disease and related dementias (ADRD)" vol. 37, no. 10, 2021 Export RIS Citation Information.

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Zhang, Yahan ;

Bian, Jiang

10 2021 | Curr Med Res Opin. 37(10):1731-1737

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Objective:This study aims to compare the downstream costs and healthcare utilization associated with using low-dose computed tomography (LDCT) for lun...
Applications of artificial intelligence in drug development using real-world data

CITE Title : Applications of artificial intelligence in drug development using real-world data Personal Author(s) : Chen, Zhaoyi;Liu, Xiong;Hogan, William;Shenkman, Elizabeth;Bian, Jiang; Published Date : 5 2021;5-2021; Source : Drug Discov Today. 26(5):1256-1264 URL : https://stacks.cdc.gov/view/cdc/112046 Chen, Zhaoyi et al. (2021). Applications of artificial intelligence in drug development using real-world data. 26(5). Chen, Zhaoyi et al. "Applications of artificial intelligence in drug development using real-world data" 26, no. 5 (2021) Chen, Zhaoyi et al. "Applications of artificial intelligence in drug development using real-world data" vol. 26, no. 5, 2021 Export RIS Citation Information.

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Chen, Zhaoyi ;

Liu, Xiong

5 2021 | Drug Discov Today. 26(5):1256-1264

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The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RWD) in drug development. RWD can generate important...
Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation

CITE Title : Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation Personal Author(s) : Liu, Yiyang;Siddiqi, Khairul A.;Cook, Robert L.;Bian, Jiang;Squires, Patrick J.;Shenkman, Elizabeth A.;Prosperi, Mattia;Jayaweera, Dushyantha T.; Published Date : 9 2021;9-2021; Source : Methods Inf Med. 60(3-04):84-94 URL : https://stacks.cdc.gov/view/cdc/112656 Liu, Yiyang et al. (2021). Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation. 60 Liu, Yiyang et al. "Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation" 60 (2021) Liu, Yiyang et al. "Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation" vol. 60, 2021 Export RIS Citation Information.

:

Liu, Yiyang ;

Siddiqi, Khairul A.

9 2021 | Methods Inf Med. 60(3-04):84-94

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BackgroundElectronic health record (EHR)-based computable phenotype algorithms allow researchers to efficiently identify a large virtual cohort of Hum...
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures

CITE Title : Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures Personal Author(s) : Chen, Aokun;Yu, Zehao;Yang, Xi;Guo, Yi;Bian, Jiang;Wu, Yonghui; Published Date : 6 2023;6-2023; Source : J Biomed Inform. 142:104370 URL : https://stacks.cdc.gov/view/cdc/153621 Chen, Aokun et al. (2023). Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures. 142 Chen, Aokun et al. "Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures" 142 (2023) Chen, Aokun et al. "Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures" vol. 142, 2023 Export RIS Citation Information.

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Chen, Aokun ;

Yu, Zehao

6 2023 | J Biomed Inform. 142:104370

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ObjectiveTo develop a natural language processing (NLP) system to extract medications and contextual information that help understand drug changes. Th...
Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records

CITE Title : Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records Personal Author(s) : Li, Qian;Yang, Xi;Xu, Jie;Guo, Yi;He, Xing;Hu, Hui;Lyu, Tianchen;Marra, David;Miller, Amber;Smith, Glenn;DeKosky, Steven;Boyce, Richard D.;Schliep, Karen;Shenkman, Elizabeth;Maraganore, Demetrius;Wu, Yonghui;Bian, Jiang; Published Date : 8 2023;8-2023; Source : Alzheimers Dement. 19(8):3506-3518 URL : https://stacks.cdc.gov/view/cdc/153596 Li, Qian et al. (2023). Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records. 19(8). Li, Qian et al. "Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records" 19, no. 8 (2023) Li, Qian et al. "Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records" vol. 19, no. 8, 2023 Export RIS Citation Information.

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Li, Qian ;

Yang, Xi

8 2023 | Alzheimers Dement. 19(8):3506-3518

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Introduction:This study aims to explore machine learning (ML) methods for early prediction of Alzheimer’s disease (AD) and related dementias (ADRD) ...
Causal AI with Real World Data: Do Statins Protect from Alzheimer’s Disease Onset?

CITE Title : Causal AI with Real World Data: Do Statins Protect from Alzheimer’s Disease Onset? Personal Author(s) : Prosperi, Mattia;Salemi, Marco;Ghosh, Shantanu;Lyu, Tianchen;Bian, Jiang;Chen, Zhaoyi;Zhao, Jinying; Published Date : 5 2021;5-2021; Source : ICMHI 2021 (2021). 2021:296-303 URL : https://stacks.cdc.gov/view/cdc/135490 Prosperi, Mattia et al. (2021). Causal AI with Real World Data: Do Statins Protect from Alzheimer’s Disease Onset?. 2021 Prosperi, Mattia et al. "Causal AI with Real World Data: Do Statins Protect from Alzheimer’s Disease Onset?" 2021 (2021) Prosperi, Mattia et al. "Causal AI with Real World Data: Do Statins Protect from Alzheimer’s Disease Onset?" vol. 2021, 2021 Export RIS Citation Information.

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Prosperi, Mattia ;

Salemi, Marco

5 2021 | ICMHI 2021 (2021). 2021:296-303

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Causal artificial intelligence aims at developing bias-robust models that can be used to intervene on, rather than just be predictive, of risks or out...
Procedural complications associated with invasive diagnostic procedures after lung cancer screening with low-dose computed tomography

CITE Title : Procedural complications associated with invasive diagnostic procedures after lung cancer screening with low-dose computed tomography Personal Author(s) : Yang, Shuang;Shih, Ya-Chen Tina;Huo, Jinhai;Mehta, Hiren J.;Wu, Yonghui;Salloum, Ramzi G.;Alvarado, Michelle;Zhang, Dongyu;Braithwaite, Dejana;Guo, Yi;Bian, Jiang; Published Date : 3 2022;3-2022; Source : Lung Cancer. 165:141-144 URL : https://stacks.cdc.gov/view/cdc/126314 Yang, Shuang et al. (2022). Procedural complications associated with invasive diagnostic procedures after lung cancer screening with low-dose computed tomography. 165 Yang, Shuang et al. "Procedural complications associated with invasive diagnostic procedures after lung cancer screening with low-dose computed tomography" 165 (2022) Yang, Shuang et al. "Procedural complications associated with invasive diagnostic procedures after lung cancer screening with low-dose computed tomography" vol. 165, 2022 Export RIS Citation Information.

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Yang, Shuang ;

Shih, Ya-Chen Tina

3 2022 | Lung Cancer. 165:141-144

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Introduction:Although the National Lung Screening Trial (NLST) has proven low-dose computed tomography (LDCT) is effective for lung cancer screening, ...
Identifying Social Determinants of Health from Clinical Narratives: A Study of Performance, Documentation Ratio, and Potential Bias

CITE Title : Identifying Social Determinants of Health from Clinical Narratives: A Study of Performance, Documentation Ratio, and Potential Bias Personal Author(s) : Yu, Zehao;Peng, Cheng;Yang, Xi;Dang, Chong;Adekkanattu, Prakash;Patra, Braja Gopal;Peng, Yifan;Pathak, Jyotishman;Wilson, Debbie L.;Chang, Ching-Yuan;Lo-Ciganic, Wei-Hsuan;George, Thomas J.;Hogan, William R.;Guo, Yi;Bian, Jiang;Wu, Yonghui; Published Date : 5 2024;5-2024; Source : J Biomed Inform. 153:104642 URL : https://stacks.cdc.gov/view/cdc/157107 Yu, Zehao et al. (2024). Identifying Social Determinants of Health from Clinical Narratives: A Study of Performance, Documentation Ratio, and Potential Bias. 153 Yu, Zehao et al. "Identifying Social Determinants of Health from Clinical Narratives: A Study of Performance, Documentation Ratio, and Potential Bias" 153 (2024) Yu, Zehao et al. "Identifying Social Determinants of Health from Clinical Narratives: A Study of Performance, Documentation Ratio, and Potential Bias" vol. 153, 2024 Export RIS Citation Information.

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Yu, Zehao ;

Peng, Cheng

5 2024 | J Biomed Inform. 153:104642

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ObjectiveTo develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the ...