scholarly journals SPID4.7: Discretization Using Successive Pseudo Deletion at Maximum Information Gain Boundary Points

2005 ◽  
Author(s):  
Somnath Pal ◽  
Himika Biswas
Keyword(s):  
Information Gain ◽  
Maximum Information ◽  
Boundary Points

scholarly journals Personalized screening intervals for kidney function in patients with chronic heart failure: a modeling study

2021 ◽  
Author(s):  
Anne-Sophie Schuurman ◽  
Anirudh Tomer ◽  
K. Martijn Akkerhuis ◽  
Ewout J. Hoorn ◽  
Jasper J. Brugts ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Information Gain ◽  
Joint Model ◽  
Left Ventricular ◽  
Individual Risk ◽  
Optimal Time ◽  
Maximum Information ◽  
Heart Failure Patients ◽  
Optimal Time Point

Abstract Background High mortality and rehospitalization rates demonstrate that improving risk assessment in heart failure patients remains challenging. Individual temporal evolution of kidney biomarkers is associated with poor clinical outcome in these patients and hence may carry the potential to move towards a personalized screening approach. Methods In 263 chronic heart failure patients included in the prospective Bio-SHiFT cohort study, glomerular and tubular biomarker measurements were serially obtained according to a pre-scheduled, fixed trimonthly scheme. The primary endpoint (PE) comprised cardiac death, cardiac transplantation, left ventricular assist device implantation or heart failure hospitalization. Personalized scheduling of glomerular and tubular biomarker measurements was compared to fixed scheduling in individual patients by means of a simulation study, based on clinical characteristics of the Bio-SHiFT study. For this purpose, repeated biomarker measurements and the PE were jointly modeled. For personalized scheduling, using this fitted joint model, we determined the optimal time point of the next measurement based on the patient’s individual risk profile as estimated by the joint model and the maximum information gain on the patient’s prognosis. We compared the schedule’s capability of enabling timely intervention before the occurrence of the PE and number of measurements needed. Results As compared to a pre-defined trimonthly scheduling approach, personalized scheduling of glomerular and tubular biomarker measurements showed similar performance with regard to prognostication, but required a median of 0.4–2.7 fewer measurements per year. Conclusion Personalized scheduling is expected to reduce the number of patient visits and healthcare costs. Thus, it may contribute to efficient monitoring of chronic heart failure patients and could provide novel opportunities for timely adaptation of treatment. Graphic abstract

Identification of Factors Affecting Disk Drive’s Performance in Data Server by Use of Decision Tree Learning Method

2021 ◽  
Author(s):  
Yi-Ju Liao ◽  
Jen-Yuan (James) Chang
Keyword(s):  
Decision Tree ◽  
Information Gain ◽  
Learning Method ◽  
Training Set ◽  
Decision Tree Learning ◽  
Maximum Information ◽  
Factors Affecting ◽  
Id3 Algorithm ◽  
Maximum Information Entropy ◽  
Smart Machine

Abstract To identify factors affecting magnetic disk drive’s data recording performance in data server, decision tree learning method is proposed and validated in this paper. Aiming at improving classification efficiency of various causes of HDD performance degradation, the ID3 algorithm of decision tree was first used showing the training set model would be able to achieve 100% accuracy. The maximum information entropy and information gain theory of ID3 algorithm were then adopted, from which accuracy range of 0.5–0.6 can be further achieved. The proposed method was validated to be effective for leveraging the data sever into Industry 4.0 ready smart machine.

The “Memory Cliff” beyond Span in Immediate Recall

1967 ◽  
Vol 21 (1) ◽  
pp. 105-112 ◽  
Author(s):  
David A. Drachman ◽  
Misha S. Zaks
Keyword(s):  
Nursing Students ◽  
Information Gain ◽  
Span Length ◽  
Scoring Method ◽  
Sharp Drop ◽  
Maximum Information ◽  
Immediate Memory ◽  
Immediate Recall ◽  
Initial Drop ◽  
And Storage

Immediate recall of sub-span, span length, and supra-span memoranda was tested in 27 normal nursing students. Random series of digits and consonant letters ranging from 5 to 20 items were presented at the rate of 1 per second. Maximum recall occurred with memoranda of approximately span length, with a sharp drop of recall as span was exceeded. Absolute recall of supra-span memoranda remained at a plateau after the initial drop. The use of a special scoring method and analysis of data by relating the results to each individual's span permitted an accurate representation of the drop in recall as span was exceeded and the constancy in recall with supra-span memoranda. It is concluded that for immediate ordered recall maximum information gain occurs for each individual at his span rather than at an arbitrary memorandum length This study indirectly supports the separation of immediate memory and storage mechanisms.

scholarly journals Determining the maximum information gain and optimizing experimental design in neutron reflectometry using the Fisher information

2021 ◽  
Vol 54 (4) ◽  
Author(s):  
James H. Durant ◽  
Lucas Wilkins ◽  
Keith Butler ◽  
Joshaniel F. K. Cooper
Keyword(s):  
Experimental Design ◽  
Fisher Information ◽  
Information Gain ◽  
Neutron Reflectometry ◽  
Phospholipid Bilayer ◽  
Measurement Time ◽  
Parameter Uncertainties ◽  
Experimental Conditions ◽  
Planning And Scheduling ◽  
Maximum Information

An approach based on the Fisher information (FI) is developed to quantify the maximum information gain and optimal experimental design in neutron reflectometry experiments. In these experiments, the FI can be calculated analytically and used to provide sub-second predictions of parameter uncertainties. This approach can be used to influence real-time decisions about measurement angle, measurement time, contrast choice and other experimental conditions based on parameters of interest. The FI provides a lower bound on parameter estimation uncertainties, and these are shown to decrease with the square root of the measurement time, providing useful information for the planning and scheduling of experimental work. As the FI is computationally inexpensive to calculate, it can be computed repeatedly during the course of an experiment, saving costly beam time by signalling that sufficient data have been obtained or saving experimental data sets by signalling that an experiment needs to continue. The approach's predictions are validated through the introduction of an experiment simulation framework that incorporates instrument-specific incident flux profiles, and through the investigation of measuring the structural properties of a phospholipid bilayer.

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