Sajjad Fouladvand

Computer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease”.

Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease

Health Science Reports(2023)10.1002/hsr2.1438

N/A

0.680DataRank · unranked

14 citations

Morteza Noshad, VJ Periyakoil, Jonathan H. Chen, Sajjad Fouladvand

dynaPhenoM: Dynamic Phenotype Modeling from Longitudinal Patient Records Using Machine Learning

medRxiv(2021)10.1101/2021.11.01.21265725

N/A

0DataRank · unranked

1 citations

Chengxi Zang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +7 more

High-Throughput Clinical Trial Emulation with Real World Data and Machine Learning: A Case Study of Drug Repurposing for Alzheimer’s Disease

medRxiv(2022)10.1101/2022.01.31.22270132

N/A

0DataRank · unranked

7 citations

Hao Zhang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +8 more

High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data

Nature Communications(2023)10.1038/s41467-023-43929-1

N/A

0DataRank · unranked

60 citations

Hao Zhang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +8 more

The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient care

Addiction(2023)10.1111/add.16341

N/A

0DataRank · unranked

15 citations

Sajjad Fouladvand, Jonathan H. Chen, Chwen‐Yuen Angie Chen, Steven Tate

Predictability of buprenorphine‐naloxone treatment retention: A multi‐site analysis combining electronic health records and machine learning

Addiction(2024)10.1111/add.16587

N/A

0DataRank · unranked

6 citations

Sajjad Fouladvand, Steven Tate, Min Min Chan, Joannas Jie Lin Yeow, Kira Griffiths +11 more

Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US Nurses

Behavioral Sciences(2024)10.3390/bs14030217

N/A

0DataRank · unranked

5 citations

Alireza Khoddam, Celeste Campos‐Castillo, Sajjad Fouladvand, Susan McRoy, Janet W. Rich‐Edwards +1 more

Integrating data science into the translational science research spectrum: A substance use disorder case study

Journal of Clinical and Translational Science(2020)10.1017/cts.2020.521

N/A

0DataRank · unranked

7 citations

Linda P. Dwoskin, Guo‐Qiang Zhang, Jeffery Talbert, Jin Chen, Patricia R. Freeman +6 more

Real time machine learning prediction of next generation sequencing test results in live clinical settings

npj Digital Medicine(2025)10.1038/s41746-025-01816-7

N/A

0DataRank · unranked

0 citations

Matthew Schwede, Conor K. Corbin, Sajjad Fouladvand, Rondeep Brar, David Iberri +6 more