Ali Ebrahimi

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Telefon+4565509337
E-mailalebmmmi.sdudk

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Forskningsområder

Maskinlæring

Fingeraftryk

Fingeraftryk dannes ud fra videnskabelige udgivelser og skaber et indeks med vægtede emneord for hver enkelt forsker.

1 Lignende profiler

6 Konferencebidrag i proceedings
6 Tidsskriftartikel
2 Kapitel i bog
1 Poster
Mere
- 1 Konferenceabstrakt i tidsskrift
- 1 Ph.d.-afhandling

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, I: Sensors. 23, 2, 23 s., 679.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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AUD-DSS: a decision support system for early detection of patients with alcohol use disorder
Ebrahimi, A., Wiil, U. K., Baskaran, R., Peimankar, A., Andersen, K. & Nielsen, A. S., dec. 2023, I: BMC Bioinformatics. 24, 1, 24 s., 329.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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A susceptibility network analysis of disease pathways leading to multiple sclerosis
Manouchehrinia, A., Ebrahimi, A., Wiil, U. K., Kiani, N. A., Lio, P., Olsson, T. & Kockum, I., 2022, I: Multiple Sclerosis Journal. 28, 3 Suppl., s. 172-173 P059.
Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › peer review
Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models
Naemi, A., Naemi, M., Ekbatani, R. Z., Schmidt, T., Ebrahimi, A., Mansourvar, M. & Wiil, U. K., 2022, Smart and Sustainable Technology for Resilient Cities and Communities. Springer, s. 119-135 (Advances in Sustainability Science and Technology).
Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods
Ebrahimi, A., Wiil, U. K., Naemi, A., Mansourvar, M., Andersen, K. & Nielsen, A. S., 23. nov. 2022, I: BMC Medical Informatics and Decision Making. 22, 25 s., 304.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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RELIP
Ebrahimi, A., Wiil, U. K., Andersen, K., Christiansen, R. & Nielsen, A. S.
01/05/2018 → 31/12/2021
Projekter: Projekt › Ph.d-projekt

Ali Ebrahimi

Personlig profil

Forskningsområder

Fingeraftryk

Samarbejde og topforskningsområder i de sidste fem år

Dyk ned i detaljerne

A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders

AUD-DSS: a decision support system for early detection of patients with alcohol use disorder

A susceptibility network analysis of disease pathways leading to multiple sclerosis

Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models

Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods

RELIP

Ali Ebrahimi

Personlig profil

Forskningsområder

Fingeraftryk

Samarbejde og topforskningsområder i de sidste fem år

Publikationer

A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders

AUD-DSS: a decision support system for early detection of patients with alcohol use disorder

A susceptibility network analysis of disease pathways leading to multiple sclerosis

Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models

Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods

Projekter

RELIP