Search Results - (( developing intensive care algorithm ) OR ( java implication based algorithm ))

Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study by Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida

“…Methods: This national-level, multicentre, prospective direct observational study was conducted in neonatal intensive care units (NICUs) of five public hospitals in Malaysia. …”
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Mortality prediction in critically ill patients using machine learning score by Dzaharudin, Fatimah, Md Ralib, Azrina, Jamaludin, Ummu Kulthum, Mat Nor, Mohd Basri, Tumian, Afidalina, Har, Lim Chiew, Ceng, T C

“…Scoring tools are often used to predict patient severity of illness and mortality in intensive care units (ICU). Accurate prediction is important in the clinical setting to ensure efficient management of limited resources. …”
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Reckoning of facial grimacing scheme for patient agitation in critical care by Muhammad Naufal, Mansor, Sazali, Yaacob, Prof. Dr., Nagarajan, Ramachandran, Prof. Dr.

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DATA ANALYTICS FOR HOSPITAL OPERATIONS by EL SAFTY, ABDULRAHMAN EHAB

“…Hence, this project will look into the feasibility of developing software for hospital data analysis, specifically, the MIMIC-II (Multiparameter Intelligent Monitoring in Intensive Care) data that support a diverse range of analytic studies which extend across epidemiology, clinical decision-rule improvement, and electronic tool development. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A protocol for an international, multicentre pharmacokinetic study for screening Antifungal exposure in intensive care units: the SAFE-ICU study by Roberts, Jason A., Sime, Fekade, Lipman, Jeffrey, Hernandez-Mitre, Maria Patricia, Baptista, João P, Brüggemann, Roger J., Darvall, Jai, Waele, Jan J. De, Dimopoulos, George, Lefrant, Jean-Yves, Mat Nor, Mohd Basri, Rello, Jordi, Seoane, Leonardo, Slavin, Monica A., Valkonen, Miia Maaria, Venditti, Mario, Wong, Wai Tat, Zeitlinger, Markus, Roger, Claire

“…Data will also be used for the development of antifungal dosing algorithms for critically ill patients. …”
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Separation of Heart Sounds & Lung Sounds using Independent Component Analysis by B.HemaKumar, R.Anandanatarajan

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Adaptive template matching of photoplethysmogram pulses to detect motion artefact by Lim, Pooi Khoon, Ng, Siew Cheok, Lovell, Nigel Hamilton, Yu, Yong Poh, Tan, Maw Pin, McCombie, Devin, Lim, Einly, Redmond, Stephen James

“…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit by Deng, Ting

“…This study explored the problem with an in-hospital mortality prediction task under an actual multi-center Intensive Care Unit (ICU) EHR database that preserves the original non-IID data distributions. …”
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Mortality prediction in critically ill patients using machine learning score by Fatimah, Dzaharudin, Azrina, Md Ralib, Ummu Kulthum, Jamaludin, Mohd Basri, Mat Nor, Afidalina, Tumian, Har, Lim Chiew, Ceng, T. C.

“…Scoring tools are often used to predict patient severity of illness and mortality in intensive care units (ICU). Accurate prediction is important in the clinical setting to ensure efficient management of limited resources. …”
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Development of track-driven agriculture robot with terrain classification functionality / Khairul Azmi Mahadhir by Mahadhir, Khairul Azmi

“…Over the past years, many robots have been devised to facilitate agricultural activities (that are labor-intensive in nature) so that they can carry out tasks such as crop care or selective harvesting with minimum human supervision. …”
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Disparity map calculation through epipolar lines estimation for 3D facial reconstruction by Cheddad, Abbas, Setan, Halim, Majid, Zulkepli

“…In fact, the ELs are prone to errors; therefore, they must be constructed with care. To eliminate this problem and to increase the precision we chose to start with an initial eight matched points to generate the Fundamental Matrix (FM), this is called the 8- Points Algorithm. …”
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Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images by Maizul, Elly Nur Myaisara

“…By spatial segmentation of K-Means algorithms, the cluster groups generated were carefully reviewed before proceeding to the final analysis. …”
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Pile Capacity Checking Tool based on Distributed Fibre Optic Sensing for Instrumented Pile Load Test by Beddelee, A.A.A.M., Mohamad, H., Tee, B.P.

“…In this paper, an application of the developed tool to a DOFS instrumented pile load test in Kuala Lumpur is reported. …”
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A NOVEL CONSTRUCTION OF VECTOR COMBINATORIAL (VC) CODE FAMILIES AND DETECTION SCHEME FOR SAC OCDMA SYSTEMS by AHMED MOHMED, HASSAN YOUSIF

“…The motivation of this research is to develop new code families to enhance the overall performance of optical OCDMA systems. …”
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