Chloé Pou-Prom

716 total citations
21 papers, 321 citations indexed

About

Chloé Pou-Prom is a scholar working on Artificial Intelligence, Epidemiology and Internal Medicine. According to data from OpenAlex, Chloé Pou-Prom has authored 21 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Epidemiology and 3 papers in Internal Medicine. Recurrent topics in Chloé Pou-Prom's work include Machine Learning in Healthcare (9 papers), Sepsis Diagnosis and Treatment (5 papers) and Topic Modeling (4 papers). Chloé Pou-Prom is often cited by papers focused on Machine Learning in Healthcare (9 papers), Sepsis Diagnosis and Treatment (5 papers) and Topic Modeling (4 papers). Chloé Pou-Prom collaborates with scholars based in Canada, United States and United Kingdom. Chloé Pou-Prom's co-authors include Christopher Meaney, Mohamed Abdalla, Serena Jeblee, Frank Rudzicz, Muhammad Mamdani, Stefania Raimondo, Amol A. Verma, Michael Fralick, David Dai and Richard I. Aviv and has published in prestigious journals such as PLoS ONE, Neurology and Diabetes.

In The Last Decade

Chloé Pou-Prom

20 papers receiving 311 citations

Peers

Chloé Pou-Prom
Justin F. Rousseau United States
Meghan R. Hutch United States
Deok-Hee Kim-Dufor France
Andrey Kormilitzin United Kingdom
Aziliz Le Glaz France
Romain Billot France
Yannis Haralambous France
Fengyi Tang United States
Poonam Hosamani United States
Justin F. Rousseau United States
Chloé Pou-Prom
Citations per year, relative to Chloé Pou-Prom Chloé Pou-Prom (= 1×) peers Justin F. Rousseau

Countries citing papers authored by Chloé Pou-Prom

Since Specialization
Citations

This map shows the geographic impact of Chloé Pou-Prom's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chloé Pou-Prom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chloé Pou-Prom more than expected).

Fields of papers citing papers by Chloé Pou-Prom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chloé Pou-Prom. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chloé Pou-Prom. The network helps show where Chloé Pou-Prom may publish in the future.

Co-authorship network of co-authors of Chloé Pou-Prom

This figure shows the co-authorship network connecting the top 25 collaborators of Chloé Pou-Prom. A scholar is included among the top collaborators of Chloé Pou-Prom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chloé Pou-Prom. Chloé Pou-Prom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Verma, Amol A., Thérèse A. Stukel, Michael Colacci, et al.. (2024). Clinical evaluation of a machine learning–based early warning system for patient deterioration. Canadian Medical Association Journal. 196(30). E1027–E1037. 6 indexed citations
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Pou-Prom, Chloé, et al.. (2024). MLHOps: Machine Learning Health Operations. IEEE Access. 13. 20374–20412. 3 indexed citations
4.
Verma, Amol A., Chloé Pou-Prom, Liam G. McCoy, et al.. (2023). Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration. Critical Care Explorations. 5(5). e0897–e0897. 6 indexed citations
5.
Pou-Prom, Chloé, et al.. (2022). From compute to care: Lessons learned from deploying an early warning system into clinical practice. Frontiers in Digital Health. 4. 932123–932123. 12 indexed citations
6.
Thornhill, Rebecca E., et al.. (2022). Rule-based natural language processing for automation of stroke data extraction: a validation study. Neuroradiology. 64(12). 2357–2362. 10 indexed citations
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Yu, Amy, Chloé Pou-Prom, Kaitlyn Lopes, et al.. (2021). Automating Stroke Data Extraction From Free-Text Radiology Reports Using Natural Language Processing: Instrument Validation Study. JMIR Medical Informatics. 9(5). e24381–e24381. 13 indexed citations
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Fralick, Michael, David Dai, Chloé Pou-Prom, Amol A. Verma, & Muhammad Mamdani. (2021). Using machine learning to predict severe hypoglycaemia in hospital. Diabetes Obesity and Metabolism. 23(10). 2311–2319. 16 indexed citations
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Nestor, Bret, Liam G. McCoy, Amol A. Verma, et al.. (2020). Preparing a Clinical Support Model for Silent Mode in General Internal Medicine. 950–972. 5 indexed citations
13.
Pou-Prom, Chloé, Stefania Raimondo, & Frank Rudzicz. (2020). A Conversational Robot for Older Adults with Alzheimer’s Disease. ACM Transactions on Human-Robot Interaction. 9(3). 1–25. 38 indexed citations
14.
Pou-Prom, Chloé, David Dai, Tony Antoniou, et al.. (2020). Using Machine Learning to Extract Expanded Disability Status Scale (EDSS) Scores from Consult Notes (1630). Neurology. 94(15_supplement). 1 indexed citations
15.
Komeili, Majid, et al.. (2019). Talk2Me: Automated linguistic data collection for personal assessment. PLoS ONE. 14(3). e0212342–e0212342. 14 indexed citations
16.
Jeblee, Serena, et al.. (2019). A survey of word embeddings for clinical text. Journal of Biomedical Informatics. 100. 100057–100057. 142 indexed citations
17.
Pou-Prom, Chloé, et al.. (2019). Development of a Sepsis Early Warning Indicator. Computing in cardiology. 1 indexed citations
18.
Pou-Prom, Chloé & Frank Rudzicz. (2018). Learning multiview embeddings for assessing dementia. 2812–2817. 11 indexed citations
19.
Jeblee, Serena, et al.. (2018). Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks.. CLEF (Working Notes). 3 indexed citations
20.
Rudzicz, Frank, Stefania Raimondo, & Chloé Pou-Prom. (2017). [TD‐P‐015]: LUDWIG: A CONVERSATIONAL ROBOT FOR PEOPLE WITH ALZHEIMER'S. Alzheimer s & Dementia. 13(7S_Part_3). 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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