9786139961931 - stroke prediction using machine learning algorithms: artificial intelligence (ai) di alkharji, munirah saleh (5 risultati)

- Brossura
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 30,65
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Kartoniert / Broschiert. Condizione: New.

- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,05
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Stroke Prediction Using Machine Learning Algorithms | Artificial Intelligence (AI) | Munirah Saleh Alkharji | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786139961931 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[…at]preigu[dot]de | Anbieter: preigu.

- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 36,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the medical world, stroke is one of the most prominent diseases that threaten human life in the world. The most common causes of death in the world are stroke, heart disease and cancer. Fortunately, stroke can be prevented if hi…gh risks patients are identified before the occurrence of a stroke. A medical diagnosis for stroke prediction is a complex process. However, machine learning algorithms can be used to facilitate stroke prediction in the early stages. The performance of the classification algorithms depends on a balanced dataset hence this study aims to implement the imbalanced data techniques as undersampling, oversampling and hybrid techniques to enhance the classification models performance. 80 pp. Englisch.

- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 36,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the medical world, stroke is one of the most prominent diseases that threaten human life in the world. The most common causes of death in the world are stroke, heart disease and cancer. Fortunately, stroke can be prevented if high r…isks patients are identified before the occurrence of a stroke. A medical diagnosis for stroke prediction is a complex process. However, machine learning algorithms can be used to facilitate stroke prediction in the early stages. The performance of the classification algorithms depends on a balanced dataset hence this study aims to implement the imbalanced data techniques as undersampling, oversampling and hybrid techniques to enhance the classification models performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.

- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 38,12
EUR 60,69 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the medical world, stroke is one of the most prominent diseases that threaten human life in the world. The most common causes of death in the world are stroke, heart disease and cancer. Fortunately, stroke can be prevented if high ri…sks patients are identified before the occurrence of a stroke. A medical diagnosis for stroke prediction is a complex process. However, machine learning algorithms can be used to facilitate stroke prediction in the early stages. The performance of the classification algorithms depends on a balanced dataset hence this study aims to implement the imbalanced data techniques as undersampling, oversampling and hybrid techniques to enhance the classification models performance.