632 research outputs found
Personalized risk model for predicting risk of acute coronary syndrome in patients with myelodysplastic syndromes
Get PDFNatalie Montarello, Alasdair Leslie, Rakchha Chhetri, Oisin Friel, Deepak Singhal, David Ross, David Yeung, Chung H. Kok, Peter J. Psaltis, and Devendra K. Hiwas
TP53 mutation in therapy-related myeloid neoplasm defines a distinct molecular subtype
No full textLetter to the EditorAbstract not availableDevendra Hiwase, Christopher Hahn, Elizabeth Ngoc Hoa Tran ... David M. Ross, Deepak Singhal, Naranie Shanmuganathan, Peter Bardy ... David Yeung ... Cindy Lee, Angie Yong ... Nimit Singhal, Raghu Gowda ... Sharad Kumar, Anna Brown, Hamish Scott, Daniel Thomas, Chung H. Kok ... et al
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Relational Care - with Mary Larkin and Manik Deepak-Gopinath [Podcast]
No full textWhat is 'relational care' and how can it improve the day-to-day experience of carers and those they care for? What are its implications for relationships between staff and service users in care settings? And how does the concept of relational care enable us to re-imagine the role of place and space in the experience of care? These are some of the questions we explore in this episode with Mary Larkin and Manik Deepak-Gopinath who recently completed a research project on the value and practice of relational care with older people.
Mary is Professor of Care, Carers and Caring at The Open University in the UK, where her research has focused on carers and caring and adult social care. She is the co-author, most recently of Family Carers and Caring, published in 2023 by Emerald. Manik is a Lecturer in Ageing, also at The Open University, and is a critical gerontologist with interests in the intersection of ageing, place and wellbeing, and in the intimate and family ties of older adults
My Name Is Deepak
No full textThis chapter looks at the author's responses to being given a nickname by his co-workers: Tupac. They do it in a friendly manner, but the author doesn’t understand the connection with the American rapper. It makes him think about who he is, his identity, and how people see him in his adopted country.</p
RBC-transfusion dependency improves the prognostic value of the revised-IPSS in MDS patients: analysis of South Australian and Dusseldorf MDS registries
No full textPublished online December 1, 2016.Deepak Singhal, Corinna Strupp, Rakchha Chhetri, Monika M Kutyna, L Amilia Wee, Shriram V. Nath, Nicholas Wickham, Chi-hung Hui, James X Gray, David M. Ross, Ian D Lewis, Peter G Bardy, John Reynolds, Luen Bik To, Devendra K Hiwase, and Ulrich Germin
Sideffective - system to mine patient reviews: sentiment analysis
No full textSideffective is the system to crawl, rank and analyze patient testimonials about side ffeects from common medications. Since the wealth of any mining model is the Data corpus, the data collection phase involved extensive crawling of massive medical websites comprised of user forums from the internet. Subsequently, the raw files were subjected to certain site-specific parsing routines, yielding outputs conforming to a well-defined data model. Currently, the system holds close to 400,000 user testimonials pertaining to more than 2500 drugs/medicines. Sideffective aims at gathering and aggregating this wealth of information, build useful associations and present interesting observations and numeric validations, all in a user-friendly interface. The important issues that we have tried to tackle are: Extracting side effects without relying on pre-built lists, aggregating distribution of different side effect for a give drug, site-specific search, ranking and determining the negativity of reviews. The system has been jointly built by Deepak Yalamanchi and Sangeetha Rajagopalan under the guidance of Prof. Tomasz Imielinski. This thesis focuses mainly on Sentiment Analysis of patient reviews. While most existing sentiment analysis systems are predicated by POS (parts of speech) tagging or Bayesian sentiment analysis methods, the same cannot be applied to medical reviews as they generally carry a negative flavor in them. We thereby approached the problem by identifying the features in the sentence and calibrating the sentiment on a Negativity Meter based on their relation to sentiment words. A feature, as defined for the purpose of this thesis, can be a medicine, a side effect or a symptom. The sentiment of each feature is determined by the aggregate of all its polarities with respect to each sentiment word, where the polarity is determined by an inverse relation to the distance of the feature from the sentiment word. Each sentence is then evaluated by the cumulative polarity of all the features contained in it. Sentiment of a review is determined by individually determining the sentiment of each sentence and then getting a weighted sum score of all the sentences in the review. The accuracy of a sentiment analysis system is, in principle, how well it agrees with human judgments. Experimental results, involving human reviewers (extracted from site: www.askapatient.com) and correlating them back to the negativity rating of each review yield conclusive results, demonstrating the effectiveness of the technique. We have also implemented a customized Lucene search on the data using a multi-review summarization approach and a ranking scheme based on the feature-list. Ranking priority is given to the review that has the largest feature list size.M.S.Includes bibliographical referencesby Deepak Yalamanch
Rare variants in Fanconi anemia genes are enriched in acute myeloid leukemia
Get PDFData source: Electronic supplementary material, https://doi.org/10.1038/s41408-018-0090-7Abstract not availableKyaw Ze Ya Maung, Paul J. Leo, Mahmoud Bassal, Debora A. Casolari, James X Gray, Sarah C. Bray, Stephen Pederson, Deepak Singhal, Saumya E. Samaraweera, Tran Nguyen, Gökhan Cildir, Mhairi Marshall, Adam Ewing, Emma L. Duncan, Matthew A. Brown, Russell Saal, Vinay Tergaonkar, Luen Bik To, Paula Marlton, Devinder Gill, Ian Lewis, Andrew J Deans, Anna L Brown, Richard J D’Andrea and Thomas J Gond
EXPORT POTENTIAL OF INDIA IN LIVESTOCK SECTOR: STRATEGY, PROSPECTS AND POLICY ISSUES
Get PDFDespite constraints like rearing of livestock under sub optimal conditions due to low economic status of livestock owners, India has now become the largest producer of milk in the world. The development of Indian dairy sector is an unprecedented success story as it is based on millions of small producers. Government of India is making concerted efforts to raise the per capita availability of milk through increase in productivity of milch animals. In order to achieve this ambitious goal, assistance is being provided to the State Governments for controlling animal diseases, scientific management and upgradation of genetic resources, increasing availability of nutritious feeds and fodder, etc. In the present milieu, when production of dairy products to match international standards has become necessary to compete in international market of milk and milk products, steps need to be initiated to improve quality of Indian milk products with a view to boost export trade of these products in free trade regime and earn valuable foreign exchange as well as provide clean and quality milk to domestic population for their better health.Export Potential Livestock Sector India
EXPORT POTENTIAL OF INDIA IN LIVESTOCK SECTOR: STRATEGY, PROSPECTS AND POLICY ISSUES
Get PDFDespite constraints like rearing of livestock under sub optimal conditions due to low economic status of livestock owners, India has now become the largest producer of milk in the world. The development of Indian dairy sector is an unprecedented success story as it is based on millions of small producers. Government of India is making concerted efforts to raise the per capita availability of milk through increase in productivity of milch animals. In order to achieve this ambitious goal, assistance is being provided to the State Governments for controlling animal diseases, scientific management and upgradation of genetic resources, increasing availability of nutritious feeds and fodder, etc. In the present milieu, when production of dairy products to match international standards has become necessary to compete in international market of milk and milk products, steps need to be initiated to improve quality of Indian milk products with a view to boost export trade of these products in free trade regime and earn valuable foreign exchange as well as provide clean and quality milk to domestic population for their better health.Marketing Livestock Products India
Revumenib As Pre-Emptive Therapy for Measurable Residual Disease in NPM1 mutated or KMT2A-rearranged Acute Myeloid Leukemia: A Domain of the Multi-Arm ALLG AMLM26 Intercept Platform Trial
No full textOral Abstract: 619.Acute Myeloid Leukemias: Disease Burden and Minimal Residual Disease in Prognosis and TreatmentAbstract not availableSun Loo, Harry Iland, Ing Soo Tiong, David Westerman, Jad Othman, Paula Marlton, Chong Chyn Chua, Duncan Purtill, Hannah Rose, Shaun Fleming, Deepak Singhal, Anoop K Enjeti, William S. Stevenson, Teng Fong Ng, McCulloch Derek, Lachlin Vaughan, Robin Gasiorowski, Adam Ivey, Amanda Souza, Revati Pattani, Natasha S. Anstee, Rachel Koldej, David S. Ritchie, Sanam Loghavi, Naval Daver, Courtney D. DiNardo, Andrew W. Roberts, Carolyn S. Grove, M, John Reynolds, Andrew H We
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