This document discusses the importance of data quality in clinical trials and the use of MedDRA for coding clinical trial data. It provides an overview of MedDRA and outlines best practices for coding clinical data to ensure accurate analysis and safety signal detection. High quality input data is emphasized as it directly impacts the quality of outputs and analysis. Challenges in coding ambiguous or vague data are also explored.
Treemaps are a visualization technique that displays hierarchical data as a set of nested rectangles. Each branch of the tree is represented by a rectangle, with smaller rectangles representing sub-branches. Leaf nodes are sized proportionally and colored to show additional data dimensions. Standard treemaps can result in thin, elongated rectangles. Squarified treemaps aim to reduce the aspect ratio and "squarify" the rectangles for a more efficient use of space and easier comparisons. The Data-Applied API supports executing treemaps using the RootTreeMapTaskInfo entity and a sequence of messages.
Pentaho reporting is an open source collection of projects focused on creating, generating, and distributing report content from all data sources. It includes a reporting engine, report designer, Pentaho BI server, and client tools. Pentaho reporting allows for pixel-perfect report creation using the report designer, complex scheduling, and the ability to email published reports. It also features a metadata editor, design studio, and administration console to manage reports.
This document discusses Data Control Language (DCL) commands in SQL Server for deleting databases and tables, as well as saving data using save points and rollbacks. It explains that DCL is used to control data and can delete tables using the DROP command or save data using save points and rollbacks with COMMIT, SAVEPOINT, and ROLLBACK commands. Caution is advised when using these commands as changes cannot always be undone.
Discrete linear systems are digital implementations of linear time-invariant systems. They can be represented using various models including transfer functions, state-space models, and convolution matrices. Common transfer function representations include zero-pole-gain form and partial fraction expansion. Filters can also be modeled using second-order sections or lattice/ladder structures.
This document discusses macros in Common Lisp (CL), including:
1. CL allows user-defined macros that transform code before evaluation/compilation.
2. Macros are defined using defmacro and are not functions.
3. Macroexpansion involves obtaining the macro function and expanding macro calls.
4. Destructuring-bind and compiler macros transform code during compilation.
This document discusses advanced processes and operators in RapidMiner including feature selection, splitting processes, OLAP operators, post processing operators, and preprocessing operators. Feature selection uses the backward elimination algorithm to test which attributes are relevant for building a better model. Processes can be split into learning and applying sections. OLAP operators support tasks like grouping, aggregation, and pivoting for multidimensional analysis. Post processing operators perform actions after modeling like cost-sensitive threshold selection. Preprocessing operators generate new features or clean data by imputing missing values.
This document provides steps for importing text files into MATLAB: save data in a text file, open the import data window and select the file, select values in the import wizard, finalize the import, and view the imported data in the workspace. It also lists several methods for importing data into MATLAB, including entering it at the command prompt, creating it in an M-file, loading from an ASCII file, using I/O functions, writing a MEX-file, writing a translation program, and finding sample codes and instructions in the MATLAB help menu. The document concludes by inviting the reader to browse additional self-guided tutorials on the website www.dataminingtools.net.
This document discusses the importance of data quality in clinical trials and the use of MedDRA for coding clinical trial data. It provides an overview of MedDRA and outlines best practices for coding clinical data to ensure accurate analysis and safety signal detection. High quality input data is emphasized as it directly impacts the quality of outputs and analysis. Challenges in coding ambiguous or vague data are also explored.
Treemaps are a visualization technique that displays hierarchical data as a set of nested rectangles. Each branch of the tree is represented by a rectangle, with smaller rectangles representing sub-branches. Leaf nodes are sized proportionally and colored to show additional data dimensions. Standard treemaps can result in thin, elongated rectangles. Squarified treemaps aim to reduce the aspect ratio and "squarify" the rectangles for a more efficient use of space and easier comparisons. The Data-Applied API supports executing treemaps using the RootTreeMapTaskInfo entity and a sequence of messages.
Pentaho reporting is an open source collection of projects focused on creating, generating, and distributing report content from all data sources. It includes a reporting engine, report designer, Pentaho BI server, and client tools. Pentaho reporting allows for pixel-perfect report creation using the report designer, complex scheduling, and the ability to email published reports. It also features a metadata editor, design studio, and administration console to manage reports.
This document discusses Data Control Language (DCL) commands in SQL Server for deleting databases and tables, as well as saving data using save points and rollbacks. It explains that DCL is used to control data and can delete tables using the DROP command or save data using save points and rollbacks with COMMIT, SAVEPOINT, and ROLLBACK commands. Caution is advised when using these commands as changes cannot always be undone.
Discrete linear systems are digital implementations of linear time-invariant systems. They can be represented using various models including transfer functions, state-space models, and convolution matrices. Common transfer function representations include zero-pole-gain form and partial fraction expansion. Filters can also be modeled using second-order sections or lattice/ladder structures.
This document discusses macros in Common Lisp (CL), including:
1. CL allows user-defined macros that transform code before evaluation/compilation.
2. Macros are defined using defmacro and are not functions.
3. Macroexpansion involves obtaining the macro function and expanding macro calls.
4. Destructuring-bind and compiler macros transform code during compilation.
This document discusses advanced processes and operators in RapidMiner including feature selection, splitting processes, OLAP operators, post processing operators, and preprocessing operators. Feature selection uses the backward elimination algorithm to test which attributes are relevant for building a better model. Processes can be split into learning and applying sections. OLAP operators support tasks like grouping, aggregation, and pivoting for multidimensional analysis. Post processing operators perform actions after modeling like cost-sensitive threshold selection. Preprocessing operators generate new features or clean data by imputing missing values.
This document provides steps for importing text files into MATLAB: save data in a text file, open the import data window and select the file, select values in the import wizard, finalize the import, and view the imported data in the workspace. It also lists several methods for importing data into MATLAB, including entering it at the command prompt, creating it in an M-file, loading from an ASCII file, using I/O functions, writing a MEX-file, writing a translation program, and finding sample codes and instructions in the MATLAB help menu. The document concludes by inviting the reader to browse additional self-guided tutorials on the website www.dataminingtools.net.
Crystal Community College offers degrees in nursing, radiology, computer technology, communications technology, business administration, and more. It provides expert instruction from fully credentialed professionals in small class sizes with superior career counseling and job placement. Program enrollment begins June 15 with financial aid and other assistance available, and evening and online courses for flexible scheduling.
Data Applied provides data analytics, mining, and visualization capabilities through a web interface and API. It allows users to pinpoint key influences in data, share analysis results, visualize large datasets, build pivot charts, identify hidden associations, detect anomalies, visualize correlations, forecast time series, discover similarities, categorize records, collaborate, and protect data. The platform offers amazing graphics and visualization from the start of the data analysis process and allows forecasting, comparing, categorizing, and visualizing data for traffic, sales, conversions, accounts, cash, claims, defects, products, crime levels, and more.
The document discusses various methods for retrieving data from a SQL database, including using SELECT statements to select columns and rows, the WHERE clause to filter results, LIKE to match strings, DISTINCT to remove duplicates, GROUP BY to group results, and ORDER BY to sort results.
To write to a file in Matlab, use the fopen function to open a file with write permission and the fprintf function to write text to the file. To read from a file, use the fopen function to open the file with read permission and the fscanf function to read data from the file. Matlab has functions like circshift to circularly shift matrix elements, sort to sort arrays in ascending or descending order, and issorted to check if elements are already sorted.
The document discusses the basic components of a computer, including the motherboard, hard disk drive, CD-ROM drive, floppy drive, monitor, keyboard, and mouse. It then explains the basic process of input, processing, and output when performing tasks on a computer. Finally, it provides an overview of different levels of programming languages from machine language to high-level languages like Python and Java.
This document discusses integrating C/C++ code with MATLAB using MEX files. MEX files allow running C/C++ code from MATLAB for increased computation speed compared to MATLAB code. MEX files contain a gateway routine called mexFunction that interacts with MATLAB and subroutines containing the C/C++ code. The document explains how to write MEX files, use MATLAB data structures like mxArrays, call built-in MATLAB functions, and compile and use the resulting MEX binary file.
The document discusses the classical definition of probability as well as axioms that define probability mathematically. It introduces the classical definition where probability is defined as the number of favorable outcomes divided by the total number of possible outcomes. It then discusses limitations of the classical definition and introduces the frequency interpretation of probability. Finally, it outlines three axioms that define a function as a valid probability function: 1) probabilities are between 0 and 1, 2) the probability of the sample space is 1, and 3) probabilities of mutually exclusive events sum to the total probability.
The RED Advisers is a multidisciplinary company that provides consulting services in various areas of real estate and tourism, formed by a group of highly qualified professionals.
XLMiner is a data mining add-in for Microsoft Excel that provides tools for time series analysis. There are two exploratory techniques used in XLMiner for time series analysis: the autocorrelation function (ACF), which finds the correlation between observations separated by a time lag, and the partial autocorrelation function (PACF), which measures the strength of relationships between components while accounting for other components. It is important to partition the time series data into training and validation sets to validate that the time series pattern is consistent and the model is accurate enough for prediction purposes.
Facebook: An Innovative Influenza Pandemic Early Warning SystemChen Luo
Facebook could be used as an innovative system to track influenza pandemics through a social media application. The application would simplify symptom tracking and use Facebook's viral sharing features to rapidly increase participation worldwide. During initial beta testing, over 70% of participants filled out weekly symptom questionnaires. Location data from IP addresses could provide real-time global surveillance of influenza spread. Widespread adoption of the application is now sought to validate its effectiveness as an early warning system.
Wisconsin Fertility Institute: Injection Class 2011WisFertility
The document outlines the steps of an in vitro fertilization (IVF) process, which includes suppressing the endocrine system, stimulating the ovaries, retrieving eggs, fertilizing eggs in a laboratory, and transferring embryos into the uterus. Key steps involve birth control pills or injections to suppress hormones, injections of fertility drugs to stimulate egg growth, a trigger shot when eggs are mature, egg retrieval, fertilizing eggs with sperm, embryo culture, and embryo transfer. Post-procedure care involves medications to support early pregnancy development.
This document discusses setting up a process in RapidMiner5. It describes importing data from various formats, dragging operators from the menu to apply them, specifying operator attributes, running the process and viewing results. An example process is provided that imports data from an Excel file, applies default modeling, cross-validates the training, uses the model to predict unknown data, and views the results.
Crystal Community College offers degrees in nursing, radiology, computer technology, communications technology, business administration, and more. It provides expert instruction from fully credentialed professionals in small class sizes with superior career counseling and job placement. Program enrollment begins June 15 with financial aid and other assistance available, and evening and online courses for flexible scheduling.
Data Applied provides data analytics, mining, and visualization capabilities through a web interface and API. It allows users to pinpoint key influences in data, share analysis results, visualize large datasets, build pivot charts, identify hidden associations, detect anomalies, visualize correlations, forecast time series, discover similarities, categorize records, collaborate, and protect data. The platform offers amazing graphics and visualization from the start of the data analysis process and allows forecasting, comparing, categorizing, and visualizing data for traffic, sales, conversions, accounts, cash, claims, defects, products, crime levels, and more.
The document discusses various methods for retrieving data from a SQL database, including using SELECT statements to select columns and rows, the WHERE clause to filter results, LIKE to match strings, DISTINCT to remove duplicates, GROUP BY to group results, and ORDER BY to sort results.
To write to a file in Matlab, use the fopen function to open a file with write permission and the fprintf function to write text to the file. To read from a file, use the fopen function to open the file with read permission and the fscanf function to read data from the file. Matlab has functions like circshift to circularly shift matrix elements, sort to sort arrays in ascending or descending order, and issorted to check if elements are already sorted.
The document discusses the basic components of a computer, including the motherboard, hard disk drive, CD-ROM drive, floppy drive, monitor, keyboard, and mouse. It then explains the basic process of input, processing, and output when performing tasks on a computer. Finally, it provides an overview of different levels of programming languages from machine language to high-level languages like Python and Java.
This document discusses integrating C/C++ code with MATLAB using MEX files. MEX files allow running C/C++ code from MATLAB for increased computation speed compared to MATLAB code. MEX files contain a gateway routine called mexFunction that interacts with MATLAB and subroutines containing the C/C++ code. The document explains how to write MEX files, use MATLAB data structures like mxArrays, call built-in MATLAB functions, and compile and use the resulting MEX binary file.
The document discusses the classical definition of probability as well as axioms that define probability mathematically. It introduces the classical definition where probability is defined as the number of favorable outcomes divided by the total number of possible outcomes. It then discusses limitations of the classical definition and introduces the frequency interpretation of probability. Finally, it outlines three axioms that define a function as a valid probability function: 1) probabilities are between 0 and 1, 2) the probability of the sample space is 1, and 3) probabilities of mutually exclusive events sum to the total probability.
The RED Advisers is a multidisciplinary company that provides consulting services in various areas of real estate and tourism, formed by a group of highly qualified professionals.
XLMiner is a data mining add-in for Microsoft Excel that provides tools for time series analysis. There are two exploratory techniques used in XLMiner for time series analysis: the autocorrelation function (ACF), which finds the correlation between observations separated by a time lag, and the partial autocorrelation function (PACF), which measures the strength of relationships between components while accounting for other components. It is important to partition the time series data into training and validation sets to validate that the time series pattern is consistent and the model is accurate enough for prediction purposes.
Facebook: An Innovative Influenza Pandemic Early Warning SystemChen Luo
Facebook could be used as an innovative system to track influenza pandemics through a social media application. The application would simplify symptom tracking and use Facebook's viral sharing features to rapidly increase participation worldwide. During initial beta testing, over 70% of participants filled out weekly symptom questionnaires. Location data from IP addresses could provide real-time global surveillance of influenza spread. Widespread adoption of the application is now sought to validate its effectiveness as an early warning system.
Wisconsin Fertility Institute: Injection Class 2011WisFertility
The document outlines the steps of an in vitro fertilization (IVF) process, which includes suppressing the endocrine system, stimulating the ovaries, retrieving eggs, fertilizing eggs in a laboratory, and transferring embryos into the uterus. Key steps involve birth control pills or injections to suppress hormones, injections of fertility drugs to stimulate egg growth, a trigger shot when eggs are mature, egg retrieval, fertilizing eggs with sperm, embryo culture, and embryo transfer. Post-procedure care involves medications to support early pregnancy development.
This document discusses setting up a process in RapidMiner5. It describes importing data from various formats, dragging operators from the menu to apply them, specifying operator attributes, running the process and viewing results. An example process is provided that imports data from an Excel file, applies default modeling, cross-validates the training, uses the model to predict unknown data, and views the results.
3. Neguko goiz hotz batean, Txominek kalera irten nahi zuen bere pilota berria estreinatzera.
4. Baina bat-batean, euria barra-barra hasi zuen goitik behera. Gure Txomin gaixoa tristatuta leihotik begiratzen zuen eguraldiaren aldaketa kalera irteteko desiratzen.
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6. Orduan, Txomin pilota hartuta, kalera irten zen poz-pozik abesti hau kantatuz: “ Klin-klan, klin-klin-klan Euri tantak, euri tantak Klin-klan, klin-klin-klan Euri tantak, euri tantak Euri tantak kaleetan. Txanorik ez, botarik ez Zapatarik ez, aterkirik ez Hala ere, nola ezetz! Busti gabe egon baietz “.