Technology for Diagnosis, Treatment, and Prevention of Cardiometabolic Disease in India.
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Deepa Soni | Dorairaj Prabhakaran | V. Ajay | D. Prabhakaran | S. Goenka | Vamadevan S Ajay | Shifalika Goenka | Safraj Shahul Hameed | Ishita Rawal | Deepa Soni | Safraj Shahul Hameed | Ishita Rawal
[1] T. Payne. Computer decision support systems. , 2000, Chest.
[2] S. Prakash,et al. Nanomedicine in cardiovascular therapy: recent advancements , 2012, Expert review of cardiovascular therapy.
[3] K. Kostner,et al. Protocol for a randomised blocked design study using telephone and text-messaging to support cardiac patients with diabetes: a cross cultural international collaborative project , 2013, BMC Health Services Research.
[4] Ralf Sodian,et al. Three-dimensional printing in cardiac surgery and interventional cardiology: a single-centre experience. , 2015, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.
[5] S. Yusuf,et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study , 2004, The Lancet.
[6] Ian J. Brown,et al. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. , 2014, The lancet. Diabetes & endocrinology.
[7] Dorairaj Prabhakaran,et al. ‘Decision support system (DSS) for prevention of cardiovascular disease (CVD) among hypertensive (HTN) patients in Andhra Pradesh, India’ – a cluster randomised community intervention trial , 2012, BMC Public Health.
[8] Estella M. Geraghty,et al. Using Geographic Information Systems (GIS) to Assess Outcome Disparities in Patients with Type 2 Diabetes and Hyperlipidemia , 2010, The Journal of the American Board of Family Medicine.
[9] M. Nair,et al. Carotid artery stenting: results and long-term follow-up. , 2006, Neurology India.
[10] Shyamal Patel,et al. A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.
[11] M. Wakefield,et al. Results of a national mass media campaign in India to warn against the dangers of smokeless tobacco consumption , 2011, Tobacco Control.
[12] David M Herrington,et al. Genetics and genomics for the prevention and treatment of cardiovascular disease: update: a scientific statement from the American Heart Association. , 2013, Circulation.
[13] R. Peto,et al. Prospective Study of One Million Deaths in India: Rationale, Design, and Validation Results , 2005, PLoS medicine.
[14] N. Santhiyakumari,et al. Medical Decision-Making System of Ultrasound Carotid Artery Intima–Media Thickness Using Neural Networks , 2011, Journal of Digital Imaging.
[15] R. Haynes,et al. Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research , 1994, Annals of Internal Medicine.
[16] A. Stiell,et al. Prevalence of information gaps in the emergency department and the effect on patient outcomes. , 2003, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.
[17] Aparajita Dasgupta,et al. Telemedicine: A New Horizon in Public Health in India , 2008, Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine.
[18] Adrian F Hernandez,et al. Valvular heart disease in patients supported with left ventricular assist devices. , 2014, Circulation. Heart failure.
[19] E. Balas,et al. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.
[20] Huiru Zheng,et al. Stroke patients’ utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation , 2014, BMC Medical Informatics and Decision Making.
[21] Mary K Goldstein,et al. Patient education and provider decision support to control blood pressure in primary care: a cluster randomized trial. , 2009, American heart journal.
[22] Koushik Maharatna,et al. An automated algorithm for online detection of fragmented QRS and identification of its various morphologies , 2013, Journal of The Royal Society Interface.
[23] S. K. Srivatsa,et al. Design of wearable cardiac telemedicine system , 2007, Int. J. Electron. Heal..
[24] V. Mohan,et al. Improving diabetes care: multi-component cardiovascular disease risk reduction strategies for people with diabetes in South Asia--the CARRS multi-center translation trial. , 2012, Diabetes research and clinical practice.
[25] S S Deo,et al. Design and development of a web-based application for diabetes patient data management. , 2005, Informatics in primary care.
[26] Johan van der Lei,et al. Cholgate - A Randomized Controlled Trial Comparing The Effect Of Automated And On-Demand Decision Support On The Management Of Cardiovascular Disease Factors In Primary Care , 2003, AMIA.
[27] H. Mcdonald,et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.
[28] Mauro Ferrari,et al. Emerging applications of nanomedicine for the diagnosis and treatment of cardiovascular diseases. , 2010, Trends in pharmacological sciences.
[29] Harshal R. Patil,et al. Lifestyle Choices Fuel Epidemics of Diabetes and Cardiovascular Disease Among Asian Indians. , 2016, Progress in cardiovascular diseases.
[30] Neetika Garg,et al. A content analysis of smartphone-based applications for hypertension management. , 2015, Journal of the American Society of Hypertension : JASH.
[31] R. Whittaker,et al. A Multimedia Mobile Phone–Based Youth Smoking Cessation Intervention: Findings From Content Development and Piloting Studies , 2008, Journal of medical Internet research.
[32] S. Ramakrishna,et al. Cardiogenic differentiation of mesenchymal stem cells with gold nanoparticle loaded functionalized nanofibers. , 2015, Colloids and surfaces. B, Biointerfaces.
[33] C. Terranova,et al. Peripheral blood mono-nuclear cells implantation in patients with peripheral arterial disease: a pilot study for clinical and biochemical outcome of neoangiogenesis , 2012, BMC Surgery.
[34] Sukanesh Rajamony,et al. Viable investigations and real-time recitation of enhanced ECG-based cardiac telemonitoring system for homecare applications: a systematic evaluation. , 2013, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[35] P. Shekelle,et al. Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care , 2006, Annals of Internal Medicine.
[36] E. Supriyanto,et al. Enhanced Blood Compatibility of Metallocene Polyethylene Subjected to Hydrochloric Acid Treatment for Cardiovascular Implants , 2014, BioMed research international.
[37] D. Schillinger,et al. Closing the loop: physician communication with diabetic patients who have low health literacy. , 2003, Archives of internal medicine.
[38] D. Nathan,et al. Clinical Trial of Programmable Implantable Insulin Pump For Type I Diabetes , 1992, Diabetes Care.
[39] M. Arora,et al. Health promotion for primordial prevention of tobacco use. , 2012, Global heart.
[40] Nikhil Tandon,et al. Review of Electronic Decision-Support Tools for Diabetes Care: A Viable Option for Low- and Middle-Income Countries? , 2011, Journal of diabetes science and technology.
[41] L. Sulmasy,et al. Policy recommendations to guide the use of telemedicine in primary care settings: an American College of Physicians position paper. , 2015, Annals of internal medicine.
[42] V. Ajay,et al. A Cluster-Randomized, Controlled Trial of a Simplified Multifaceted Management Program for Individuals at High Cardiovascular Risk (SimCard Trial) in Rural Tibet, China, and Haryana, India , 2015, Circulation.
[43] Sanjay Kinra,et al. Role of mobile phone technology in tobacco cessation interventions. , 2012, Global heart.
[44] R. Haynes,et al. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. , 1998, JAMA.
[45] G. Klintmalm,et al. Pancreatic islet cell transplantation: update and new developments. , 2007, Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition.
[46] K. Dontje,et al. Electronic health record: implementation across the Michigan Academic Consortium. , 2006, Computers, informatics, nursing : CIN.
[47] C. Ohmann,et al. Laser-Supported CD133+ Cell Therapy in Patients with Ischemic Cardiomyopathy: Initial Results from a Prospective Phase I Multicenter Trial , 2014, PloS one.
[48] Gari D Clifford,et al. A multifaceted strategy using mobile technology to assist rural primary healthcare doctors and frontline health workers in cardiovascular disease risk management: protocol for the SMARTHealth India cluster randomised controlled trial , 2013, Implementation Science.
[49] Joseph Siemienczuk,et al. The impact of a physician-directed health information technology system on diabetes outcomes in primary care: a pre- and post-implementation study. , 2009, Informatics in primary care.
[50] K. Cherian,et al. Nanofiber-reinforced myocardial tissue-construct as ventricular assist device , 2014, Asian cardiovascular & thoracic annals.
[51] V. Mohan,et al. CARRS Surveillance study: design and methods to assess burdens from multiple perspectives , 2012, BMC Public Health.
[52] M. Weisfeldt,et al. Advances in the prevention and treatment of cardiovascular disease. , 2007, Health affairs.
[53] Jean Sanderson,et al. The Role of Decision Support System (DSS) in Prevention of Cardiovascular Disease: A Systematic Review and Meta-Analysis , 2012, PloS one.
[54] R. Haynes,et al. Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes , 1998 .
[55] Joyce A. Mitchell,et al. The clinical value of computerized information services. A review of 98 randomized clinical trials. , 1996, Archives of family medicine.
[56] A. Bahl,et al. Congestive heart failure in Indians: How do we improve diagnosis & management? , 2010, The Indian journal of medical research.
[57] Bernard C. K. Choi,et al. The Past, Present, and Future of Public Health Surveillance , 2012, Scientifica.
[58] P. Sylaja,et al. Telestroke a Viable Option to Improve Stroke Care in India , 2014, International journal of stroke : official journal of the International Stroke Society.
[59] Benjamin C. Tang,et al. Managing diabetes with nanomedicine: challenges and opportunities , 2014, Nature Reviews Drug Discovery.
[60] T. Mcconnell,et al. Using a Telemedicine System to Decrease Cardiovascular Disease Risk in an Underserved Population: Design, Use, and Interim Results , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[61] A. Bauman,et al. Can population levels of physical activity be increased? Global evidence and experience. , 2015, Progress in cardiovascular diseases.