Mia Cajita

Health ProfessionsMedicine

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 6 papers. Top paper: “mHealth Technology and CVD Risk Reduction”.

mHealth Technology and CVD Risk Reduction

Current Atherosclerosis Reports(2021)10.1007/s11883-021-00927-2

N/A

0DataRank · unranked

13 citations

Yaguang Zheng, Jacob K. Kariuki, Karen M. Vuckovic, Lora E. Burke, Mia Cajita

Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization

arXiv (Cornell University)(2022)10.48550/arxiv.2204.00797

N/A

0DataRank · unranked

2 citations

Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita, Amanuel Alambo

Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure

arXiv (Cornell University)(2022)10.25417/uic.21707306.v1

N/A

0DataRank · unranked

0 citations

Krishnaprasad Thirunarayan, William L. Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee +1 more

Examining reactivity to intensive longitudinal ecological momentary assessment: 12-month prospective study

Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity(2023)10.1007/s40519-023-01556-1

N/A

0DataRank · unranked

13 citations

Stephen L. Rathbun, Saul Shiffman, Christopher E. Kline, Christopher C. Imes, Yaguang Zheng +3 more

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure

arXiv (Cornell University)(2023)10.48550/arxiv.2305.19373

N/A

0DataRank · unranked

0 citations

Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita +1 more

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications

arXiv (Cornell University)(2024)10.48550/arxiv.2411.10544

N/A

0DataRank · unranked

0 citations

Tanvi Banerjee, William L. Romine, Mia Cajita, Ankita Agarwal