Vaibhav Rajan
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Explore the profile of Vaibhav Rajan including associated specialties, affiliations and a list of published articles.
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Articles
27
Citations
143
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0
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Recent Articles
1.
Sukhwal P, Rajan V, Kankanhalli A
IEEE J Biomed Health Inform
. 2025 Mar;
29(3):2257-2270.
PMID: 40030566
Medical question answer (QA) assistants respond to lay users' health-related queries by synthesizing information from multiple sources using natural language processing and related techniques. They can serve as vital tools...
2.
Ghanvatkar S, Rajan V
IEEE J Biomed Health Inform
. 2024 Apr;
28(7):4269-4280.
PMID: 38662559
Explainable Artificial Intelligence (XAI) techniques generate explanations for predictions from AI models. These explanations can be evaluated for (i) faithfulness to the prediction, i.e., its correctness about the reasons for...
3.
Liany H, Jayagopal A, Huang D, Lim J, Nbh N, Jeyasekharan A, et al.
IEEE J Biomed Health Inform
. 2024 Jan;
28(3):1785-1796.
PMID: 38227408
A Synthetic Lethal (SL) interaction is a functional relationship between two genes or functional entities where the loss of either entity is viable but the loss of both is lethal....
4.
Kasa S, Rajan V
Sci Rep
. 2023 Nov;
13(1):19164.
PMID: 37932317
Clustering is a fundamental tool for exploratory data analysis, and is ubiquitous across scientific disciplines. Gaussian Mixture Model (GMM) is a popular probabilistic and interpretable model for clustering. In many...
5.
Srivastava S, Rajan V
IEEE J Biomed Health Inform
. 2023 Oct;
27(10):5076-5086.
PMID: 37819834
Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). Diseases often have complex manifestations with heterogeneous subpopulations, or subtypes, that exhibit distinct clinical characteristics....
6.
Zhang Z, Sun H, Mariappan R, Chen X, Chen X, Jain M, et al.
Nat Commun
. 2023 Jan;
14(1):384.
PMID: 36693837
Single cell data integration methods aim to integrate cells across data batches and modalities, and data integration tasks can be categorized into horizontal, vertical, diagonal, and mosaic integration, where mosaic...
7.
Mariappan R, Jayagopal A, Sien H, Rajan V
Bioinformatics
. 2022 Aug;
38(19):4554-4561.
PMID: 35929808
Motivation: In many biomedical studies, there arises the need to integrate data from multiple directly or indirectly related sources. Collective matrix factorization (CMF) and its variants are models designed to...
8.
Kumar S, Nanelia A, Mariappan R, Rajagopal A, Rajan V
JMIR Med Inform
. 2022 Jan;
10(1):e28842.
PMID: 35049514
Background: Patient representation learning aims to learn features, also called representations, from input sources automatically, often in an unsupervised manner, for use in predictive models. This obviates the need for...
9.
Liany H, Lin Y, Jeyasekharan A, Rajan V
IEEE J Biomed Health Inform
. 2022 Jan;
26(6):2830-2838.
PMID: 34990373
Study of pairwise genetic interactions, such as mutually exclusive mutations, has led to understanding of underlying mechanisms in cancer. Investigation of various combinatorial motifs within networks of such interactions can...
10.
Dasgupta S, Jayagopal A, Jun Hong A, Mariappan R, Rajan V
JMIR Med Inform
. 2021 Oct;
9(10):e32730.
PMID: 34694230
Background: Adverse drug events (ADEs) are unintended side effects of drugs that cause substantial clinical and economic burdens globally. Not all ADEs are discovered during clinical trials; therefore, postmarketing surveillance,...