Data Mining in Predicting Anti-Retroviral Drug in Hospital Pharmacy
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Data Mining in Predicting Anti-Retroviral Drug in Hospital Pharmacy (2016)
DE PB NW RPISBN: 9783659890277 bzw. 3659890278, in Deutsch, LAP Lambert Academic Publishing Jun 2016, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential applicability of data mining technology to predict the Anti-Retroviral (ARV) drugs consumption for pharmacy based up on patient's history datasets gathered from the hospital pharamcy. WEKA software, a data-mining tool were used for interpreting, evaluating and predicting from large datasets. It has been concluded that the M5P decision tree algorithm and data mining techniques are the best and crucial component for the purpose of prediction and forecasting of ARV drugs consumption for the Jugal hospital pharmacy. Result with the data set suggests that tree based modeling approach can effectively be used in predicting the consumption of ARV drugs. 112 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential applicability of data mining technology to predict the Anti-Retroviral (ARV) drugs consumption for pharmacy based up on patient's history datasets gathered from the hospital pharamcy. WEKA software, a data-mining tool were used for interpreting, evaluating and predicting from large datasets. It has been concluded that the M5P decision tree algorithm and data mining techniques are the best and crucial component for the purpose of prediction and forecasting of ARV drugs consumption for the Jugal hospital pharmacy. Result with the data set suggests that tree based modeling approach can effectively be used in predicting the consumption of ARV drugs. 112 pp. Englisch.
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Data Mining in Predicting Anti-Retroviral Drug in Hospital Pharmacy
DE HC NWISBN: 9783659890277 bzw. 3659890278, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential applicability of data mining technology to predict the Anti-Retroviral (ARV) drugs consumption for pharmacy based up on patient´s history datasets gathered from the hospital pharamcy. WEKA software, a data-mining tool were used for interpreting, evaluating and predicting from large datasets. It has been concluded that the M5P decision tree algorithm and data mining techniques are the best and crucial component for the purpose of prediction and forecasting of ARV drugs consumption for the Jugal hospital pharmacy. Result with the data set suggests that tree based modeling approach can effectively be used in predicting the consumption of ARV drugs. Lieferzeit 1-2 Werktage.
Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential applicability of data mining technology to predict the Anti-Retroviral (ARV) drugs consumption for pharmacy based up on patient´s history datasets gathered from the hospital pharamcy. WEKA software, a data-mining tool were used for interpreting, evaluating and predicting from large datasets. It has been concluded that the M5P decision tree algorithm and data mining techniques are the best and crucial component for the purpose of prediction and forecasting of ARV drugs consumption for the Jugal hospital pharmacy. Result with the data set suggests that tree based modeling approach can effectively be used in predicting the consumption of ARV drugs. Lieferzeit 1-2 Werktage.
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Data Mining in Predicting Anti-Retroviral Drug in Hospital Pharmacy
EN NWISBN: 9783659890277 bzw. 3659890278, in Englisch, neu.
Lieferung aus: Schweiz, zzgl. Versandkosten, Versandfertig innert 3 - 5 Werktagen.
Data Mining in Predicting Anti-Retroviral Drug in Hospital Pharmacy, Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential applicability of data mining technology to predict the Anti-Retroviral (ARV) drugs consumption for pharmacy based up on patient's history datasets gathered from the hospital pharamcy. WEKA software, a data-mining tool were used for interpreting, evaluating and predicting from large datasets. It has been concluded that the M5P decision tree algorithm and data mining techniques are the best and crucial component for the purpose of prediction and forecasting of ARV drugs consumption for the Jugal hospital pharmacy. Result with the data set suggests that tree based modeling approach can effectively be used in predicting the consumption of ARV drugs.
Data Mining in Predicting Anti-Retroviral Drug in Hospital Pharmacy, Pharmaceutical industries mostly produce huge amounts of datasets to build a basis for prediction, forecasting, and classification. Specifically, when applying predicting and forecasting on pharmaceutical industries for stocking management system will yield huge amounts of datasets. The application of data mining tools will be the best tools for predicting and forecasting of pharmaceutical industries on stocking/stock management system. Thus, this research work has investigated the potential applicability of data mining technology to predict the Anti-Retroviral (ARV) drugs consumption for pharmacy based up on patient's history datasets gathered from the hospital pharamcy. WEKA software, a data-mining tool were used for interpreting, evaluating and predicting from large datasets. It has been concluded that the M5P decision tree algorithm and data mining techniques are the best and crucial component for the purpose of prediction and forecasting of ARV drugs consumption for the Jugal hospital pharmacy. Result with the data set suggests that tree based modeling approach can effectively be used in predicting the consumption of ARV drugs.
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Symbolbild
Data Mining in Predicting Anti-Retroviral Drug in Hospital Pharmacy (2016)
DE PB NW RPISBN: 9783659890277 bzw. 3659890278, in Deutsch, LAP LAMBERT Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
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