There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Shubhashree P |
| Institution: | DAYANANDA SAGAR UNIVERSITY |
| Department: | CSE |
| Country: | |
| Proposed Analysis: | Alzheimer disease is a neurologic disorder which is progressive. This disease is mostly seen in people of old age, the brain cells die gradually causing failure of important functions of mental and memory related. Diagnosis is done but at the later stage. Prediction of this disease at its early stage is a challenge to the medical field. This project aims to predict Alzheimer's disease in its early stages to help the diagnosis better, that is to slow down the rate of brain cell destruction, using the machine learning algorithms. |
| Additional Investigators | |
| Investigator's Name: | Shivamma D |
| Proposed Analysis: | Alzheimer disease is a neurologic disorder which is progressive. This disease is mostly seen in people of old age, the brain cells die gradually causing failure of important functions of mental and memory related. Diagnosis is done but at the later stage. Prediction of this disease at its early stage is a challenge to the medical field. This project aims to predict Alzheimer's disease in its early stages to help the diagnosis better, that is to slow down the rate of brain cell destruction, using the machine learning algorithms. |
| Investigator's Name: | Shivamma D |
| Proposed Analysis: | Alzheimer disease is a neurologic disorder which is progressive. This disease is mostly seen in people of old age, the brain cells die gradually causing failure of important functions of mental and memory related. Diagnosis is done but at the later stage. Prediction of this disease at its early stage is a challenge to the medical field. This project aims to predict Alzheimer's disease in its early stages to help the diagnosis better, that is to slow down the rate of brain cell destruction, using the machine learning algorithms. |
