Search Results - "Azariah, Jinbert Lordson"

One‐year outcomes of rate versus rhythm control of atrial fibrillation in the Kerala‐AF Registry by Calvert, Peter, Chen, Yang, Gue, Ying, Gupta, Dhiraj, Azariah, Jinbert Lordson, George Koshy, A., Zachariah, Geevar, Lip, Gregory Y. H., Gopalan, Bahuleyan Charantharayil, Namboodiri, Narayanan, Jabir, A., George Koshy, A., Zachariah, Geevar, Shifas Babu, M., Venugopal, K., Punnose, Eapen, Natarajan, K. U., Joseph, Johny, Ashokan Nambiar, C., Jayagopal, P. B., Mohanan, P. P., George, Raju, Unni, Govindan, Sajeev, C. G., Syam, N., Roby, Anil, Daniel, Rachel, Krishnakumar, V. V., Pillai, Anand M., Joseph, Stigi, Mini, G. K., Koya, Shaffi Fazaludeen, Eapen, Koshy, Ram, Raghu, Mathew, Cibu, Faizal, Ali, Issac, Biju, Renga, Sujay, Menon, Jaideep, Harikrishna, D., Suresh, K., Nair, Tiny, Susanth, S. S., Anil Kumar, R., Abilash, T. P., Sreekala, P., Rajeev, E., Raj, Arun, Naik, Ramdas, Rajalekshmi, Gopinath, Anoop, Binu, R., Chacko, Jossy, Iqbal, P. T., Sudhir, N. M., Sreedharan, Madhu, Balakrishnan, N., Musthaffa, Muhammed, Jayakumar, B., George, Sheeba, Kumar, Anand, Mathew, Thomas, Pramod, V. K., Shaloob, Muhammed, Chandy, Madhu Paulose, Vinod, K. R., Sajan Ahamad, Z., Mathew, Pramod

“…Background There is ongoing debate around rate versus rhythm control strategies for managing atrial fibrillation (AF), however, much of the data comes from…”
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Predicting stroke in Asian patients with atrial fibrillation using machine learning: A report from the KERALA-AF registry, with external validation in the APHRS-AF registry by Chen, Yang, Gue, Ying, Calvert, Peter, Gupta, Dhiraj, McDowell, Garry, Azariah, Jinbert Lordson, Namboodiri, Narayanan, Bucci, Tommaso, Jabir, A., Tse, Hung Fat, Chao, Tze-Fan, Lip, Gregory Y.H., Bahuleyan, Charantharayil Gopalan

“…•Atrial fibrillation is a known risk factor for stroke, especially ischaemic stroke. Atrial fibrillation causes irregular and rapid contractions of the atria,…”
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Phenotypes of South Asian patients with atrial fibrillation and holistic integrated care management: cluster analysis of data from KERALA-AF RegistryResearch in context by Yang Chen, Bi Huang, Peter Calvert, Yang Liu, Ying Gue, Dhiraj Gupta, Garry McDowell, Jinbert Lordson Azariah, Narayanan Namboodiri, Govindan Unni, Jayagopal Pathiyil Balagopalan, Gregory Yoke Hong Lip, Bahuleyan Charantharayil Gopalan, Narayanan Namboodiri, A. Jabir, A. George Koshy, Geevar Zachariah, M. Shifas Babu, K. Venugopal, Eapen Punnose, K.U. Natarajan, Johny Joseph, C. Ashokan Nambiar, P.B. Jayagopal, P.P. Mohanan, Raju George, Govindan Unni, C.G. Sajeev, N. Syam, Anil Roby, Rachel Daniel, V.V. Krishnakumar, Anand M. Pillai, Stigi Joseph, G.K. Mini, Shaffi Fazaludeen Koya, Koshy Eapen, Raghu Ram, Cibu Mathew, Ali Faizal, Biju Issac, Sujay Renga, Jaideep Menon, D. Harikrishna, K. Suresh, Tiny Nair, S.S. Susanth, R.Anil Kumar, T.P. Abilash, P. Sreekala, E. Rajeev, Arun Raj, Ramdas Naik, S. Rajalekshmi, Anoop Gopinath, R. Binu, Jossy Chacko, P.T. Iqbal, N.M. Sudhir, Madhu Sreedharan, N. Balakrishnan, Muhammed Musthaffa, B. Jayakumar, Sheeba George, Anand Kumar, Thomas Mathew, V.K. Pramod, Muhammed Shaloob, Madhu Paulose Chandy, K.R. Vinod, Karuana Das, Z.Sajan Ahamad, Pramod Mathew

“…Background: Patients with atrial fibrillation (AF) frequently experience multimorbidity. Cluster analysis, a machine learning method for classifying patients…”
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Phenotypes of South Asian patients with atrial fibrillation and holistic integrated care management: cluster analysis of data from KERALA-AF Registry by Chen, Yang, Huang, Bi, Calvert, Peter, Liu, Yang, Gue, Ying, Gupta, Dhiraj, McDowell, Garry, Azariah, Jinbert Lordson, Namboodiri, Narayanan, Unni, Govindan, Balagopalan, Jayagopal Pathiyil, Lip, Gregory Yoke Hong, Gopalan, Bahuleyan Charantharayil, Namboodiri, Narayanan, Jabir, A., George Koshy, A., Zachariah, Geevar, Shifas Babu, M., Venugopal, K., Punnose, Eapen, Natarajan, K.U., Joseph, Johny, Ashokan Nambiar, C., Jayagopal, P.B., Mohanan, P.P., George, Raju, Unni, Govindan, Sajeev, C.G., Syam, N., Roby, Anil, Daniel, Rachel, Krishnakumar, V.V., Pillai, Anand M., Joseph, Stigi, Mini, G.K., Koya, Shaffi Fazaludeen, Eapen, Koshy, Ram, Raghu, Mathew, Cibu, Faizal, Ali, Issac, Biju, Renga, Sujay, Menon, Jaideep, Harikrishna, D., Suresh, K., Nair, Tiny, Susanth, S.S., Kumar, R.Anil, Abilash, T.P., Sreekala, P., Rajeev, E., Raj, Arun, Naik, Ramdas, Rajalekshmi, S., Gopinath, Anoop, Binu, R., Chacko, Jossy, Iqbal, P.T., Sudhir, N.M., Sreedharan, Madhu, Balakrishnan, N., Musthaffa, Muhammed, Jayakumar, B., George, Sheeba, Kumar, Anand, Mathew, Thomas, Pramod, V.K., Shaloob, Muhammed, Chandy, Madhu Paulose, Vinod, K.R., Das, Karuana, Ahamad, Z.Sajan, Mathew, Pramod

“…Patients with atrial fibrillation (AF) frequently experience multimorbidity. Cluster analysis, a machine learning method for classifying patients with similar…”
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Kerala Atrial Fibrillation Registry: a prospective observational study on clinical characteristics, treatment pattern and outcome of atrial fibrillation in Kerala, India, cohort profile by Charantharayil Gopalan, Bahuleyan, Namboodiri, Narayanan, Abdullakutty, Jabir, Lip, Gregory YH, Koshy, Allumootil George, Krishnan Nair, Venugopal, Babu, Shifas, Muhammed, Shaffi, Azariah, Jinbert Lordson, George, Raju, Nambiar, Ashokan, Govindan, Unni, Zachariah, Geevar, Kumaraswamy, Natarajan, Chakanalil Govindan, Sajeev, Natesan, Syam, Roby, Anil, Velayudhan Nair, Krishnakumar, Pillai, Anand M, Daniel, Rachel

“…PurposeLimited published data exist on the clinical epidemiology of atrial fibrillation (AF) in South Asia including India. Most of the published data are from…”
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