Among the most commonly used and available methods, especially in public hospitals, body mass index (BMI), calf circumference (CC), arm circumference (AC), tricipital skinfold (TSF), arm muscle circumference (AMC), and adductor pollicis muscle thickness (APMT) stand out ( 1). In addition to PG-SGA, objective methods such as conventional anthropometry are indicated for screening malnutrition. The Patient-Generated Subjective Global Assessment (PG-SGA) instrument, available in Portuguese and culturally adapted to Brazil, is one of the most widely used subjective tools for patient screening and nutritional evaluation ( 3, 4). Thus, nutritional screening must be performed using validated tools, followed or not by detailed nutritional assessment, within 48 hours of patient admission in order to enable the multidisciplinary team to maintain a more assertive clinical approach and adequate clinical management ( 1). Longer hospital stays, increased costs, impairment of the immune system, increased risk of pressure injuries, post-surgical complications, increased number of infections, delayed recovery, and increased risk of mortality are well-described consequences of malnutrition in the literature ( 1, 2). However, when malnutrition is not neglected by healthcare professionals, unfavorable clinical outcomes can be prevented 1). Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.Malnutrition can affect up to 50 % of hospitalized patients and is one of the main public health problems in developing countries.
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IBM Data Science Professional Certificate Completing this course will count towards your learning in any of the following programs: This course can be applied to multiple Specialization or Professional Certificate programs. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course will take you from zero to programming in Python in a matter of hours-no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.īy the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python.
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Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms.
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Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist. It’s a myth that to become a data scientist you need a Ph.D. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater.