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Disambiguation of "Banerjee, Amitava"

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The association between antihypertensive treatment and serious adverse events by age and frailty: A cohort study

, , , , , , , , , , , and . 20 (4): e1004223 (2023)
DOI: 10.1371/journal.pmed.1004223

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Amitava Chatterjee

Amitava Roy

Amitava Chatterjee

Amitava Chatterjee

Amitava Majumder

 

Other publications of authors with the same name

Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations., , and . IEEE Trans. Biomed. Circuits Syst., 8 (5): 681-695 (2014)Link inference of noisy delay-coupled networks: Machine learning and opto-electronic experimental tests., , , and . CoRR, (2020)UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER., , , , , , , , , and 6 other author(s). J. Am. Medical Informatics Assoc., 26 (12): 1545-1559 (2019)Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2., , , , , , , , , and 11 other author(s). J. Am. Medical Informatics Assoc., 28 (4): 791-800 (2021)Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013, , , , , , , , , and 220 other author(s). The Lancet, 384 (9947): 957--979 (September 2014)Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors., , , , , and . CoRR, (2017)A current-mode spiking neural classifier with lumped dendritic nonlinearity., , , , and . ISCAS, page 714-717. IEEE, (2015)An efficient approach to model distortion in weakly nonlinear Gm - C filters., , , and . ISCAS, page 1312-1315. IEEE, (2008)Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis., , , , and . Neural Comput., (2018)Developing Machine Learning Techniques for Network connectivity Inference from Time-Series Data.. University of Maryland, College Park, MD, USA, (2022)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/29681).