Maragatha Kuchibhatla
Biographic Data
| ID | 6638273 |
|---|---|
| NAME | Maragatha Kuchibhatla |
| GIVEN NAMES | Maragatha |
| FAMILY NAME | Kuchibhatla |
| SIGNATURE | KUCHIBHATLA M |
| AFFILIATIONS | Duke University |
| ORCID | 0000-0002-1105-5918 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Emergency care knowledge, utilization, and barriers in Northern Tanzania
Background Emergency care systems are critical to improving care for time-sensitive emergency conditions. The growth and development of these systems in Sub-Saharan Africa is becoming a priority. Layperson knowledge and recognition of emergency symptoms and subsequent care-seeking behavior are key to achieving timely access to care and appropriate treatment. This study aimed to assess community knowledge of emergency conditions as well as barrier…
Investigating Predictors of Cognitive Decline Using Machine Learning
The combination of latent trajectories and RF classification techniques suggested that nongenetic factors contribute more to cognitive decline than genetic factors. Education was the most relevant predictor for discrimination
Depressive Symptoms and Mental Stress–Induced Myocardial Ischemia in Patients With Coronary Heart Disease
OBJECTIVES: The aim of this study was to examine the associations between depressive symptoms and mental stress-induced myocardial ischemia (MSIMI) in patients with coronary heart disease (CHD). METHODS: Adult patients with documented CHD were recruited for baseline mental stress and exercise stress screening testing as a part of the enrollment process of the Responses of Myocardial Ischemia to Escitalopram Treatment trial. Patients were administ…
Religion and the Survival of 1010 Hospitalized Veterans
Investigating Predictors of Cognitive Decline Using Machine Learning
The combination of latent trajectories and RF classification techniques suggested that nongenetic factors contribute more to cognitive decline than genetic factors. Education was the most relevant predictor for discrimination
Religion and the Survival of 1010 Hospitalized Veterans
Depressive Symptoms and Mental Stress–Induced Myocardial Ischemia in Patients With Coronary Heart Disease
OBJECTIVES: The aim of this study was to examine the associations between depressive symptoms and mental stress-induced myocardial ischemia (MSIMI) in patients with coronary heart disease (CHD). METHODS: Adult patients with documented CHD were recruited for baseline mental stress and exercise stress screening testing as a part of the enrollment process of the Responses of Myocardial Ischemia to Escitalopram Treatment trial. Patients were administ…
Investigating Predictors of Cognitive Decline Using Machine Learning
The combination of latent trajectories and RF classification techniques suggested that nongenetic factors contribute more to cognitive decline than genetic factors. Education was the most relevant predictor for discrimination
Emergency care knowledge, utilization, and barriers in Northern Tanzania
Background Emergency care systems are critical to improving care for time-sensitive emergency conditions. The growth and development of these systems in Sub-Saharan Africa is becoming a priority. Layperson knowledge and recognition of emergency symptoms and subsequent care-seeking behavior are key to achieving timely access to care and appropriate treatment. This study aimed to assess community knowledge of emergency conditions as well as barrier…
Medicine (3 works) · Psychiatry (3 works) · Disease (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Psychology (2 works) · Angina (1 work) · Antidepressant (1 work) · Anxiety (1 work) · Beck Depression Inventory (1 work)