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  • Format: ePub

Literature Review Deadline in 30 Days? Your Literature Review Isn't Writing Itself. Stacks of PDFs, zero synthesis, clock ticking. Sound familiar? This book is the academic triage kit: ¿ 10-step Rapid-Synthesis System-finish in 4 weeks, period ¿ AI-powered search hacks that slice database time by 60 % ¿ Templates that turn chaos into a publishable narrative ¿ Two full sample reviews to model (and steal) Stop staring at the blank page while your cohort moves on. Click Buy Now and watch the panic melt in four weeks flat.
This all-new second edition provides:
Real-time examples: Follow
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Produktbeschreibung
Literature Review Deadline in 30 Days? Your Literature Review Isn't Writing Itself. Stacks of PDFs, zero synthesis, clock ticking. Sound familiar? This book is the academic triage kit: ¿ 10-step Rapid-Synthesis System-finish in 4 weeks, period ¿ AI-powered search hacks that slice database time by 60 % ¿ Templates that turn chaos into a publishable narrative ¿ Two full sample reviews to model (and steal) Stop staring at the blank page while your cohort moves on. Click Buy Now and watch the panic melt in four weeks flat.

This all-new second edition provides:

Real-time examples: Follow along with step-by-step demonstrations that evolve throughout the book, making complex concepts clear.

Enhanced structure: Learn effectively with a revamped layout featuring tables, infographics, and visual aids.

Cutting-edge resources: Access the latest tools and AI-powered resources to streamline your research.

Bonus chapters! Master mixed-methods, AI-assisted reviews, and meta-analysis.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Rafiq Muhammad has background in healthcare with MBA from SDA Bocconi School of Management, Italy, and holds a Ph.D. in Artificial Intelligence and Machine Learning from Karolinska Institute, Sweden. He has spent the past several years engaging deeply in data analytics and machine learning applications.Rafiq Muhammad is passionate about data science and artificial intelligence and is dedicated to bridging the gap between cutting-edge generative language models and their practical implementations in real life. Rafiq Muhammad has extensive experience in publishing systematic literature reviews in peer-reviewed journals, and teaching and supervising graduate students on how to conduct literature reviews. He also has experience teaching Master Level courses at Karolinska Institute. Rafiq has developed advanced skills in conducting high-quality systematic literature reviews independently (four systematic literature reviews already published and supervised several). During the last 6 years, He has published 10 scientific articles in peer-reviewed academic journals. He has spent the past several years immersing himself in data analytics using artificial intelligence and machine learning, conducting literature reviews, and teaching master-level courses in healthcare. As a medical doctor with expertise in data science, he has the right competence to conceptualize, design, and develop AI applications in healthcare.