Sentences with phrase «classify data into»

Not exact matches

The app gathers the data from millions of users uploading their photos (aka it «crowdsources» the data) and «classifies photos into what you are doing in them.

Cross-sectional study of national dietary data obtained through 24 h recalls and classified into food groups according to the extent and purpose of food processing (NOVA classification).

Aggregating all the feeding data within the same weight measurement interval, each infant was classified into 1 of the 6 mutually exclusive overall milk feeding categories: (1) Breastfed only; (2) Breastfed and human milk by bottle; (3) Breastfed and nonhuman milk by bottle; (4) Human milk by bottle only; (5) Human and nonhuman milk by bottle; and (6) Nonhuman milk by bottle only.

For the purposes of data display, this measure has been classified into four groups: child was not breastfed; child was breastfed for < 4 months; child was breastfed for 4 to 7 months; child was breastfed for ≥ 8.

WASHINGTON, D.C. — The Pentagon said yesterday that classified data prove the controversial National Missile Defense (NMD) system will work, even as some members of Congress called for an investigation into charges that the Pentagon classified documents to hide the fact that the system is hopelessly flawed.

Radiologists use the Breast Imaging Reporting and Data System, or BI-RADS, to classify breast density into 4 categories.

What you need to do is just Copy the given Ad content data and paste it into Classifieds Copy - Paste anything you want, then get it from anywhere.

Using student - level data from two states, Harvard Professor Martin West and I found that 40 to 60 percent of schools serving mostly low - income or underrepresented minority students would fall into the bottom 15 percent of schools statewide based on their average test scores, but only 15 to 25 percent of these same schools would be classified as low performing based on their test - score growth.

Robert Marzano classifies exit tickets into four different categories: formative assessment data, student self analysis, instructional strategy feedback, and open communication.

These scans, or snapshots, become data points that could then be classified into categories of instructional practice and analyzed using descriptive and nonparametric statistics.

In addition to serving as a TalentEd strategic education advisor — where he provides insight into performance evaluations, professional development for classified staff, data collection and analysis, technology integration, school - based management and absence management — Howard is the director of district support for Upbeat.

It is a well - known fact that tablets today have classified data, which if get into the hands of thieves could inflict huge damage to the people.

Each fiscal year (i.e., financial report year), he ranked all firms with sufficient data to identify book - to - market quintile and size tercile cutoffs and classified them into BM quintiles.

They use bank balance sheet data and a technique called «statistical clustering» to classify banks into broad categories that share similar summary features of their balance sheets.

These data are made by a human observer subjectively classifying cloud cover into a decimal or octal scale.

Here, we will be looking at data science broadly as it relates to the construction of models aimed at describing, classifying, and predicting happenings in the world.3 We will apply the most general meaning of the term «algorithm» — a set of instructions one must follow to transform a set of inputs into a set of statements about the world as seen by our models.

For example, classifying the reason for the edit or correction into easily understood categories creates potential actionable data.

Although we do not classify litigants by their business model, we can estimate the role of PMEs by partitioning our data into two sets — one where the plaintiff filed at least 10 cases (counting by defendants) per year, and those where the plaintiff filed fewer.

He / she also classifies the data by sorting the assembled part into different batches for ease of entry and reference.

• First - hand experience in promptly and accurately entering data such as patient demographics, history and extent of illnesses into hospital systems • Proficient in determining accuracy of data by correlating diagnostic procedures and treatments with specified diseases • Demonstrated ability to plan, develop and maintain a variety of health records indexes by effectively classifying, storing and analyzing information • Proven record of resolving codes or diagnosis that may be conflicting by contacting doctors and nursing personnel for clarifications

• Receive and check patient demographic information for accuracy and completeness • Compare all received information with set standards to ensure compliance and integrity of data • Enter data such as demographic information, history, extent of disease and diagnostic procedures into facility databases • Compile and maintain patients» records so that medical conditions and treatments can be effectively tracked and documented • Plan, develop and operate health record indexes and retrieval systems to collect, store or classify information • Transcribe medical reports and ensure that all transcribed information is accurate • Identify, compile and code patient data by following standards classification systems • Respond to requests for information retrieval by first verifying identity and purpose of the person asking for it

Professional Experience Marine Corps Network Operations Security Center (Quantico, VA) 12/2008 — Present Information Technology Project Manager • Serve as Project Manager responsible for Network Enterprise Services strategic plans and process development • Tasked with the engineering and design of enterprise services for the largest IT project facing the Marine Corps • Oversee project acceptance, manage third party contractor relations, identify requirement gaps, evaluate integration requirements, document solutions, and facilitate the turnover to the operations group • Administer email messaging system, active directory infrastructure, storage area networks, and virtual server infrastructure • Additional systems of responsibility include DMS (Defense Messaging System), DAR (Data at Rest, Guardian Edge's enterprise encryption), HBSS (Host Based Security System), MOSS 2003/2007 (Microsoft SharePoint), SCOM (System Center Operations Manager, Enterprise Event Monitoring) • Provide full time Tier II & III Help Desk Support for the ~ 50,000 users in both the classified and unclassified networks • Directly manage subordinate IT supervisors determining workflow and ensuring efficient and effective operations • Serve as a member of external boards, committees and working groups representing the USMC and the MCNOSC • Champion the MCNOSC's adoption of the ITIL (Information Technology Infrastructure Library) processes, implement the MCNOSC's Change Management Process, and establish the first enterprise level Change Management Approval Board • Serve as Project Manager during the Marine Corps first implementation of HBSS on the classified and unclassified networks • Responsible for the Marine Corps» Network Consolidation of the SIPRNet involving the collapsing over 36 separate Active Directory Domains into one forest and a single domain structure and the migration of over 300 servers and every workstation on the USMC SIPRNet

The HRV data were then used to classify subjects into one of four mood states (depression, mixed state, hypomania and euthymia) using support vector machines.