Zobrazeno 1 - 10 of 545 pro vyhledávání: '"Veer V"'
1
Akademický článek
A Randomized Comparative Clinical Trial to Evaluate the Efficacy of Vangeshwara Rasa in Diabetic Polyneuropathy
Autor: Veer Vidya Ramaning, Suketha Kumari, S. D. Laxmikant
Publikováno v: Journal of Ayurveda, Vol 18, Iss 3, Pp 173-180 (2024)
Introduction: Diabetic polyneuropathy (DPN) is a chronic complication that affects up to 50% of diabetics. There is a need for Rasayana, a specialized Ayurvedic drug with active potential that is helpful in the management of DPN. Despite these seriou
Externí odkaz: https://doaj.org/article/f4da240e0b4c4bd6aab5d305074f8579
Zobrazit plný text záznamu
2
Akademický článek
Inhibitory effect of Tridax procumbens against human skin pathogens
Autor: Policegoudra, R.S., Chattopadhyay, P., Aradhya, S.M., Shivaswamy, R., Singh, L., Veer, V.
Publikováno v: In Journal of Herbal Medicine June 2014 4(2):83-88
Zobrazit plný text záznamu
3
Akademický článek
Evaluation of the mutagenic potential of a combinational prophylactic transdermal patch by Ames test
Autor: Banerjee, S., Singh, S., Policegoudra, R., Chattopadhyay, P., Ghosh, A., Veer, V.
Publikováno v: In Immuno-analyse et biologie spécialisée October-December 2013 28(5-6):322-326
Zobrazit plný text záznamu
6
Akademický článek
Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records
Autor: Zhenxing Xu, Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Luke V. Rasmussen, Jie Xu, Yunyu Xiao, George Alexopoulos, Jyotishman Pathak
Publikováno v: Psychiatric Research and Clinical Practice, Vol 5, Iss 4, Pp 118-125 (2023)
Objective To evaluate if a machine learning approach can accurately predict antidepressant treatment outcome using electronic health records (EHRs) from patients with depression. Method This study examined 808 patients with depression at a New York C
Externí odkaz: https://doaj.org/article/3ae9871723f64428aab81e4881e047e8
Zobrazit plný text záznamu
7
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
8
Akademický článek
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study
Autor: Prakash Adekkanattu, Luke V. Rasmussen, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Guoqian Jiang, Yuan Luo, Pascal S. Brandt, Zhenxing Xu, Veer Vekaria, Jie Xu, Fei Wang, Natalie C. Benda, Yifan Peng, Parag Goyal, Faraz S. Ahmad, Jyotishman Pathak
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Left ventricular ejection fraction (EF) is a key measure in the diagnosis and treatment of heart failure (HF) and many patients experience changes in EF overtime. Large-scale analysis of longitudinal changes in EF using electronic health rec
Externí odkaz: https://doaj.org/article/f671b1c3676d40f79e135221ff6bfadf
Zobrazit plný text záznamu
10
Spatiotemporal distribution of dengue vectors & identification of high risk zones in district Sonitpur, Assam, India
Autor: Das, M., Reji Gopalakrishnan, Kumar, D., Gayan, J., Baruah, I., Veer, V., Dutta, P.
Publikováno v: Indian Journal of Medical Research, Vol 140, Iss 2, Pp 278-284 (2014)
Scopus-Elsevier
Background & objectives: Dengue is an arboviral disease of public health importance in many parts of India and recently many cases have been reported from northeastern India. Aedes mosquitoes, which are the vectors of dengue, are widely prevalent in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a2418961bb36ce91467947ba416c465
http://www.ijmr.org.in/article.asp?issn=0971-5916
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje