A5108846482- Global Cancer Incidence and Screening
- Breast Cancer Treatment Studies
- Spinal Hematomas and Complications
- Cancer survivorship and care
- AI in cancer detection
- Blood donation and transfusion practices
- Autoimmune Bullous Skin Diseases
- Cancer-related cognitive impairment studies
- Skin Protection and Aging
- Heart Failure Treatment and Management
- Nutrition, Genetics, and Disease
- Estrogen and related hormone effects
- Nutrition and Health in Aging
- Cerebrospinal fluid and hydrocephalus
- Patient Satisfaction in Healthcare
- Dermatology and Skin Diseases
- Radiomics and Machine Learning in Medical Imaging
- Leprosy Research and Treatment
- Chemotherapy-related skin toxicity
- Gender Roles and Identity Studies
- Cancer Risks and Factors
- Sepsis Diagnosis and Treatment
- EEG and Brain-Computer Interfaces
- Nail Diseases and Treatments
- Nonmelanoma Skin Cancer Studies
All India Institute of Medical Sciences Raipur
2024-2025
University of South Florida
2019-2024
Vellore Institute of Technology University
2024
Sri Devaraj Urs Academy of Higher Education and Research
2023
Institute of Medical Sciences
2020
St Bartholomew's Hospital
2006
St George's Hospital
2004
Background Seborrheic dermatitis is the most common, chronic inflammatory skin condition which confined to scalp, nasolabial folds, and regions rich in sebaceous glands for no definitive cause has been found. Although disease more comorbidities associated with it have not studied detail. This study aims assess prevalence of seborrheic its cutaneous systemic adolescent adult patients. Methodology cross-sectional was performed among 451 female patients who visited Department Dermatology,...
Introduction The genetically determined progressive process that causes a gradual conversion of terminal hair into vellus is known as androgenetic alopecia (AGA). AGA male pattern baldness very common among medical students whose self-image severely deteriorated by and this affects the quality their professional career. Hence, assessment association depression, loneliness, internet addiction levels Bachelor Medicine, Surgery (MBBS) with essential to improving academic performance. Aims...
Background: Blood donation is a humanitarian act to save the lives of sick and needy patients. Repeated blood can have some adverse effects on overall health repeated donors. Objective: To evaluate cardiovascular, respiratory lipid profiles study among compare these parameters with persons who never donated blood. Method: A Hospital based, comparative, cross sectional was conducted. Twenty males, every three months in year were compared against 20 age matched males last one as well they been...
Background: The prevalence of fecal incontinence (FI) in the community is usually grossly underreported. There are very few studies done Asian population to assess FI. Objective: Our study aimed and factors associated with FI adult females aged 30–60 years a rural south India. Materials Methods: We conducted community-based cross-sectional among 200 people three villages (Allivaram, Thoppanthangal, Veppampet) Kaniyambadi block, Vellore district, Tamil Nadu. Participants were...
Background: It has been estimated that more than half of the donations are paid in developing countries like India. People do not know about organizations engaged voluntary blood donation. They afraid have wrong concepts donations. Objective: To study Knowledge, Attitude and Practices Blood Donation among Urban Slums Dwellers Methods: A community based cross sectional was carried out at an slum area, Shapur, Hyderabad for 4 months 210 people. Data collected using a predesigned, Pretested...
You have accessJournal of UrologyCME1 May 2022PD06-04 A DECEPTION STUDY TO AVOID RECALL BIAS FOR 3 VALIDATED QUESTIONNAIRES IN THE OFFICE OR OVER PHONE WOMEN WITH WITHOUT URINARY INCONTINENCE Meghana Reddy, Samuel B. Kusin, Alana L. Christie, and Philippe E. Zimmern ReddyMeghana Reddy More articles by this author , KusinSamuel Kusin ChristieAlana Christie ZimmernPhilippe View All Author Informationhttps://doi.org/10.1097/JU.0000000000002525.04AboutPDF ToolsAdd to favoritesDownload...
It is incredibly challenging to build an intelligent algorithm for emotion recognition that can deliver high accuracy because electroencephalography (EEG) signals are not stationary, nonlinear, and noisy. First, decomposing the preprocessed EEG of SEED dataset into five frequency bands: delta, theta, alpha, beta, gamma, then calculated their energy entropy from extracted features. Then Principal Component Analysis (PCA) method feature reduction was performed. important note different types...