Research output per year
Research output per year
Personal profile
Keywords
- Machine Learning
- Machine Learning
- Data Mining
- data analysis
- NLP
- Health Care
Fingerprint
Dive into the research topics where Ali Ebrahimi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Researchers
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study
Ebrahimi, A., Høstgaard Bang Henriksen, M., Lohman Brasen, C., Hilberg, O., Hansen, T. F., Jensen, L. H., Peimankar, A. & Wiil, U. K., 17. May 2024, In: BMC Medical Research Methodology. 24, 17 p., 114.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile12 Downloads (Pure) -
Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
Flyckt, R. N. H., Sjodsholm, L., Henriksen, M. H. B., Brasen, C. L., Ebrahimi, A., Hilberg, O., Hansen, T. F., Wiil, U. K., Jensen, L. H. & Peimankar, A., 24. Dec 2024, In: Scientific Reports. 14, 1, 11 p., 30630.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Downloads (Pure) -
xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification
Peimankar, A., Ebrahimi, A. & Wiil, U. K., 23. Aug 2024, In: Network Modeling Analysis in Health Informatics and Bioinformatics. 13, 1, 13 p., 45.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Downloads (Pure) -
A collection of multiregistry data on patients at high risk of lung cancer—a Danish retrospective cohort study of nearly 40,000 patients
Høstgaard Bang Henriksen, M., Hansen, T. F., Jensen, L. H., Lohman Brasen, C., Peimankar, A., Ebrahimi, A., Wiil, U. K. & Hilberg, O., 26. Dec 2023, In: Translational Lung Cancer Research. 12, 12, p. 2392-2411Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile38 Downloads (Pure) -
A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders
Peimankar, A., Winther, T. S., Ebrahimi, A. & Wiil, U. K., 6. Jan 2023, In: Sensors. 23, 2, 23 p., 679.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile45 Downloads (Pure)
-
Blend-A
Nielsen, A. S. (PI), Tarp, K. H. (Project participant), Tryggedsson, J. (Project participant), Blankers, M. (Project participant), Behrendt, S. (Project participant), Ebrahimi, A. (Project participant), Wiil, U. K. (Project participant), Folker, M. P. (Project participant), Mellentin, A. I. (Project participant) & Bilberg, R. (Project participant)
01/01/2020 → 31/12/2025
Project: Research
-
RELIP
Ebrahimi, A. (PhD student), Wiil, U. K. (Supervisor), Andersen, K. (Project participant), Christiansen, R. (Project participant) & Nielsen, A. S. (Project participant)
01/05/2018 → 31/12/2021
Project: PhD Project