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Specification
Author : BYRNE, DANIEL W.
Binding : paperback
Brand : EYPKPL
BulletPoint1 : Perfect lead protection: The new protective material has excellent protective performance. The outer fabric is strong, wear-resistant, soft and waterproof. The lead distribution is very uniform, and the lead equivalent will not weaken under normal use.
BulletPoint2 : Reasonable design: Sticky design on the back for easy putting on and taking off. Professionally designed lead apron and guard provide excellent fit and comfort.
BulletPoint3 : X-ray lead aprons: X-ray lead aprons are made of lead rubber. Waterproof and anti-static. It is strong, durable, lightweight and soft
BulletPoint4 : Protective equipment: Medical personnel need to use radiation protection equipment to protect their health and prevent radiation damage when performing X-ray diagnosis and radiological interventional treatment.
BulletPoint5 : Easy to clean: When the surface of the protective apron is dirty, wipe it with a soft brush or damp cloth dipped in low-concentration cleaning solution or neutral detergent, and let it dry in a ventilated place.
Color : 0.5 Mmpb
Department : unisex-adult
Edition : First Edition
EditionNumber : 1
ExternallyAssignedProductIdentifier : 9382120514904
ExternallyAssignedProductIdentifier1 : 1975197933
ExternallyAssignedProductIdentifier2 : 9781975197933
ExternallyAssignedProductIdentifier3 : 09781975197933
Genre1 : MEDICAL
Genre10 : Hospital Administration & Care
Genre11 : MEDICAL
Genre12 : Evidence-Based Medicine
Genre13 : MEDICAL
Genre14 : General
Genre15 : Medical bioinformatics
Genre16 : Expert systems
Genre17 : knowledge-based systems
Genre18 : Medical administration & management
Genre19 : Medicine: general issues
Genre2 : Informatics
Genre20 : Epidemiology & medical statistics
Genre3 : MEDICAL
Genre4 : Biotechnology
Genre5 : MEDICAL
Genre6 : Research
Genre7 : MEDICAL
Genre8 : Biostatistics
Genre9 : MEDICAL
IncludedComponents : Pass Code
ItemName : Artificial Intelligence for Improved Patient Outcomes: Principles for Moving Forward with Rigorous Science
ItemPackageDimensions_Height : 20.4 centimeters
ItemPackageDimensions_Length : 1.5 centimeters
ItemPackageDimensions_Width : 12.6 centimeters
ItemTypeKeyword : book
Language1 : english
Language2 : english
Language3 : english
Manufacturer : LWW
NumberOfItems : 1
Pages : 266
PartNumber : 9781975197933
Pattern : Solid
ProductDescription : Professional design: Unisex, easy to wear, comfortable to wear, the apron is easy to put on and take off, and the comfort level is high. The design is natural and relaxed. Providing reliable safety, the lead apron provides protection for the body in special environments.
feature:
Humanized structural design: perfect lead protection, humanized structural design, fine workmanship, even wiring, lead apron and ensuring your safety and health. The lead is evenly distributed, and the lead equivalent in normal use will not attenuate.

Ergonomic: lightweight and comfortable, waterproof and anti-static, sturdy and durable, you can bend over and walk without feeling heavy or restricted when wearing it, suitable for both men and women.


Product name: Radiation protective clothing/X-ray apron/lead apron/radiation protection apron
Material: lead rubber
Protection equivalent level: 0.35mmPb/0.5mmPb (the higher the value, the better the protection effect)
Purpose: Suitable for protecting against ionizing radiation, X-rays and other human body scattered rays
Applicable people: unisex
Notes on use:
before use
1. Operators should check whether the X-ray protective clothing (indoor and outdoor) is damaged.
2. Check whether the accessories are firmly connected.
After use
Lay the protective skirt flat or hang it on a hanger to avoid tears and radial leakage due to prolonged bending.
packing list:
1/X-ray protective apron
1/X-Ray Thyroid Shielding Collar
1/X-ray lead cap
ProductSiteLaunchDate : 2022-05-14T01:59:46.744Z
PublicationDate : 2023-04-06T00:00:01Z
Size : 100x60cm
StreetDate : 2023-04-06T00:00:01Z
Subject1 : MEDICAL / Biostatistics
Subject10 : Medical/Biostatistics
Subject11 : Medical/Biotechnology
Subject12 : Medical/Diagnostic Imaging - General
Subject13 : Medical/Ethics
Subject14 : Medical/Evidence-Based Medicine
Subject15 : Medical/Family & General Practice
Subject16 : Medical/Health Care Delivery
Subject17 : Medical/Health Risk Assessment
Subject18 : Medical/Hospital Administration & Care
Subject19 : Medical/Informatics
Subject2 : MEDICAL / Biotechnology
Subject20 : Medical/Internal Medicine
Subject21 : Medical/Preventive Medicine
Subject22 : Medical/Research
Subject23 : Epidemiology & medical statistics
Subject24 : Expert systems / knowledge-based systems
Subject25 : Medical administration & management
Subject26 : Medical bioinformatics
Subject27 : Medicine: general issues
Subject28 : AI in healthcare; Health outcomes; Pragmatic AI studies; Biostatistics; Medical research; Reproducible AI research; Medical journals; Key concepts; AI implementation; Career guidance; Evaluating AI tools; Avoiding hype; Healthcare professionals; Physician-scientists; AI developers; Entrepreneurs; Healthcare leaders; artificial intelligence in medicine; AI applications in medicine; biotechnology; clinical applications; deep learning; machine learning; Algorithms; data science in medicine; artificial intelligence entrepreneurs; IBM watson; healthcare information management; cleaning data sets; careers in AI; artificial intelligence in health care; predictive modeling; neural networks; geoffrey hinton; AI models; randomization; randomized controlled trials; predictive models in medicine; electronic health records; AI and IRB
Subject29 : AI in healthcare;Health outcomes;Pragmatic AI studies;Biostatistics;Medical research;Reproducible AI research;Medical journals;Key concepts;AI implementation;Career guidance;Evaluating AI tools;Avoiding hype;Healthcare professionals;Physician-scientists;AI developers;Entrepreneurs;Healthcare leaders;artificial intelligence in medicine;AI applications in medicine;biotechnology;clinical applications;deep learning;machine learning;Algorithms;data science in medicine;artificial intelligence entrepreneurs;IBM watson;healthcare information management;cleaning data sets;careers in AI;artificial intelligence in health care;predictive modeling;neural networks;geoffrey hinton;AI models;randomization;randomized controlled trials;predictive models in medicine;electronic health records;AI and IRB
Subject3 : MEDICAL / Evidence-Based Medicine
Subject30 : Administration
Subject31 : Artificial Intelligence
Subject32 : Biostatistics
Subject33 : Biotechnology
Subject34 : Diagnostic Imaging - General
Subject35 : Epidemiology & medical statistics
Subject36 : Ethics
Subject37 : Evidence-Based Medicine
Subject38 : Expert systems
Subject39 : Expert systems / knowledge-based systems
Subject4 : MEDICAL / General
Subject40 : Family & General Practice
Subject41 : General
Subject42 : Health Care Delivery
Subject43 : Health Risk Assessment
Subject44 : Hospital Administration & Care
Subject45 : Informatics
Subject46 : Internal Medicine
Subject47 : MAJORS
Subject48 : MEDICAL
Subject49 : MEDICAL / Biostatistics
Subject5 : MEDICAL / Health Care Delivery
Subject50 : MEDICAL / Biotechnology
Subject51 : MEDICAL / Evidence-Based Medicine
Subject52 : MEDICAL / General
Subject53 : MEDICAL / Health Care Delivery
Subject54 : MEDICAL / Hospital Administration & Care
Subject55 : MEDICAL / Informatics
Subject56 : MEDICAL / Preventive Medicine
Subject57 : MEDICAL / Research
Subject58 : Medical administration & management
Subject59 : Medical bioinformatics
Subject6 : MEDICAL / Hospital Administration & Care
Subject60 : Medical/Administration
Subject61 : Medical/Biostatistics
Subject62 : Medical/Biotechnology
Subject63 : Medical/Diagnostic Imaging - General
Subject64 : Medical/Ethics
Subject65 : Medical/Evidence-Based Medicine
Subject66 : Medical/Family & General Practice
Subject67 : Medical/Health Care Delivery
Subject68 : Medical/Health Risk Assessment
Subject69 : Medical/Hospital Administration & Care
Subject7 : MEDICAL / Informatics
Subject70 : Medical/Informatics
Subject71 : Medical/Internal Medicine
Subject72 : Medical/Preventive Medicine
Subject73 : Medical/Research
Subject74 : Medicine: general issues
Subject75 : Non-Fiction
Subject76 : Outcome Assessment, Health Care
Subject77 : Precision Medicine
Subject78 : Preventive Medicine
Subject79 : Research
Subject8 : MEDICAL / Research
Subject80 : knowledge-based systems
Subject9 : Medical/Administration
SubjectCode1 : MBNS
SubjectCode10 : MED035000
SubjectCode11 : MED043000
SubjectCode12 : MED117000
SubjectCode13 : MED106000
SubjectCode14 : MED002000
SubjectCode15 : MED090000
SubjectCode16 : MED009000
SubjectCode17 : MED019000
SubjectCode18 : MED050000
SubjectCode19 : MED112000
SubjectCode2 : UYQE
SubjectCode20 : MED029000
SubjectCode21 : MED035000
SubjectCode22 : MED037000
SubjectCode23 : MED043000
SubjectCode24 : MED117000
SubjectCode25 : MED045000
SubjectCode26 : MED076000
SubjectCode27 : MED106000
SubjectCode3 : MBPM
SubjectCode4 : MBF
SubjectCode5 : MB
SubjectCode6 : MED090000
SubjectCode7 : MED009000
SubjectCode8 : MED112000
SubjectCode9 : MED000000
SubjectKeyword1 : AI in healthcare; Health outcomes; Pragmatic AI studies; Biostatistics; Medical research; Reproducible AI research; Medical journals; Key concepts; AI implementation; Career guidance; Evaluating AI tools; Avoiding hype; Healthcare professionals; Physician-scientists; AI developers; Entrepreneurs; Healthcare leaders; artificial intelligence in medicine; AI applications in medicine; biotechnology; clinical applications; deep learning; machine learning; Algorithms; data science in medicine; artificial intelligence entrepreneurs; IBM watson; healthcare information management; cleaning data sets; careers in AI; artificial intelligence in health care; predictive modeling; neural networks; geoffrey hinton; AI models; randomization; randomized controlled trials; predictive models in medicine; electronic health records; AI and IRB
SubjectKeyword2 : AI in healthcare;Health outcomes;Pragmatic AI studies;Biostatistics;Medical research;Reproducible AI research;Medical journals;Key concepts;AI implementation;Career guidance;Evaluating AI tools;Avoiding hype;Healthcare professionals;Physician-scientists;AI developers;Entrepreneurs;Healthcare leaders;artificial intelligence in medicine;AI applications in medicine;biotechnology;clinical applications;deep learning;machine learning;Algorithms;data science in medicine;artificial intelligence entrepreneurs;IBM watson;healthcare information management;cleaning data sets;careers in AI;artificial intelligence in health care;predictive modeling;neural networks;geoffrey hinton;AI models;randomization;randomized controlled trials;predictive models in medicine;electronic health records;AI and IRB
SupplierDeclaredDgHzRegulation : not_applicable
TargetAudience : Professional and scholarly
TextbookType : unknown
UnitCount : 0.0353