Authors' response [0.03%]
作者回应
Manjula Arunraj,Vaishnavi Vijay,Satyavani Kumpatla et al.
Manjula Arunraj et al.
Beyond relaxation: Improving the validity of PMR studies in chronic disease research [0.03%]
超越放松：提高慢性疾病研究中PMR研究的有效性
Muhammad Zarrar,Hammad
Muhammad Zarrar
Authors' response [0.03%]
作者回应
Lukman Ade Chandra,Hera Nirwati,Dhite Nugroho
Lukman Ade Chandra
Improving completeness & reducing errors in medical certification of cause of death: The impact of electronic mortality software in a tertiary care centre in South India [0.03%]
提高医疗死亡证明的完整性和减少错误：印度南部一家三级护理中心使用电子死亡登记软件的影响
Abinavsharvesh Thanigasalam,Ramadoss Ramu,Kanagarethinam Rajarethinam
Abinavsharvesh Thanigasalam
Background & objectives Mortality statistics are crucial for understanding public health. Accurate medical certification of cause of death (MCCD) is essential for good mortality statistics. However, the quality of MCCD form-filling remains ...
Expression of inflammatory proteins STAT & NFĸB for phenotypic diagnosis of gall bladder cancer: A pilot study [0.03%]
信号转导子和转录激活蛋白及核因子κB炎症蛋白的表达在胆囊癌表型诊断中的作用：一项初步研究
Atanu Sen,Nitin Choudhary,Bela Goyal et al.
Atanu Sen et al.
Background & objectives Gallbladder cancer (GBC) has a low overall survival rate due to late detection and poor prognosis. Chronic inflammation contributes to malignant conversion and metastasis in GBC. Expression of inflammatory proteins, ...
Saffalya Nayak,Pratima Kumari Sahu,Sasmita Swain et al.
Saffalya Nayak et al.
Background & objectives Haemoglobinopathies, particularly thalassemia and sickle cell disease, are of major public health concern and pose a significant health burden in India particularly in the State of Odisha. The molecular complexity of...
A machine learning approach to predict hypertension using cross-sectional & two years follow up data from a health & demographic cohort of Assam, North East India [0.03%]
基于健康和人口队列的机器学习预测高血压的方法：来自印度东北部阿萨姆邦横断面及两年随访数据的研究
Krishnarjun Bora,Natarajaseenivasan Kalimuthusamy,Ananya Jyoti Gogoi et al.
Krishnarjun Bora et al.
Background & objectives Hypertension affects a sizable section of the world population and is being recognised as a growing problem. Its prediction using machine learning (ML) algorithms, will add to its control and prevention. The objectiv...
Understanding the pro- & anti-inflammatory cytokine profile in Japanese encephalitis & their implications in survival outcome [0.03%]
了解日本脑炎的促炎和抗炎细胞因子谱及其对生存结果的影响
Pinku Mani Talukdar,Dharitree Sonowal,Ajanta Sharma et al.
Pinku Mani Talukdar et al.
Background & objectives We aimed to conduct a comprehensive analysis of the cytokine profile in Japanese encephalitis (JE) patients and healthy individuals. Additionally, the correlation between the cytokines and the disease outcome in term...
Drug utilisation patterns & clinical outcomes in hospitalised COVID-19 patients: A geospatial & machine learning approach [0.03%]
地缘空间和机器学习方法在住院COVID-19患者药物利用模式及临床结果中的应用研究
Dhruva Kumar Sharma,Madhab Nirola,Mousumi Gupta et al.
Dhruva Kumar Sharma et al.
Background & objectives Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed challenges in clinical management due to a lack of established treatment guidelines. This study aimed to...