What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Law
Bradley A. Malin mostly deals with Computer security, Information privacy, Data mining, Data science and Artificial intelligence.
His research integrates issues of Internet privacy and Medical record in his study of Computer security.
Many of his research projects under Information privacy are closely connected to Genomics and Data sharing with Genomics and Data sharing, tying the diverse disciplines of science together.
His study in the field of Partition is also linked to topics like Data quality.
His study in Data science is interdisciplinary in nature, drawing from both Social network analysis, Anomaly detection, Information Dissemination, Unsupervised learning and Information system.
His Artificial intelligence study combines topics in areas such as Probability distribution and Machine learning.
His most cited work include:
- Preserving privacy by de-identifying face images (350 citations)
- How (not) to protect genomic data privacy in a distributed network: using trail re-identification to evaluate and design anonymity protection systems (211 citations)
- A Systematic Review of Re-Identification Attacks on Health Data (190 citations)
What are the main themes of his work throughout his whole career to date?
Bradley A. Malin mainly investigates Data science, Data mining, Computer security, Information privacy and Health care.
His Data science research is multidisciplinary, incorporating perspectives in Health informatics, Information sensitivity, Bioinformatics and Identification.
His biological study spans a wide range of topics, including Record linkage, Diagnosis code, Machine learning and Artificial intelligence.
His Computer security study deals with Internet privacy intersecting with Confidentiality.
Bradley A. Malin has researched Information privacy in several fields, including Secure multi-party computation and The Internet.
His Health care study combines topics from a wide range of disciplines, such as Medical record, Information technology and Medical emergency.
He most often published in these fields:
- Data science (23.21%)
- Data mining (18.21%)
- Computer security (15.71%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (10.71%)
- Data science (23.21%)
- Data mining (18.21%)
In recent papers he was focusing on the following fields of study:
Bradley A. Malin mainly focuses on Artificial intelligence, Data science, Data mining, Information privacy and Social media.
His Artificial intelligence research includes themes of Odds ratio, Machine learning and Natural language processing.
The concepts of his Data science study are interwoven with issues in Unsupervised learning and Task.
Bradley A. Malin combines subjects such as Diagnosis code and Divergence with his study of Data mining.
His Information privacy study combines topics from a wide range of disciplines, such as Engineering ethics, Heuristic and Implementation.
His Social media study integrates concerns from other disciplines, such as Data collection, Systematic review, Naive Bayes classifier, Mental health and Internet privacy.
Between 2018 and 2021, his most popular works were:
- A systematic literature review of machine learning in online personal health data. (18 citations)
- A systematic literature review of machine learning in online personal health data. (18 citations)
- Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective (12 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Law
The scientist’s investigation covers issues in Artificial intelligence, Information privacy, Data mining, Medical research and Deep learning.
His Artificial intelligence study combines topics in areas such as Machine learning, Systematic review and Data collection.
The various areas that Bradley A. Malin examines in his Information privacy study include Engineering ethics, Cost efficiency and Implementation.
Bradley A. Malin has included themes like Divergence and Scale in his Data mining study.
His work blends Work and Data science studies together.
His research in Data science intersects with topics in Informatics, Information technology, Health care and Privacy-enhancing technologies.
This overview was generated by a machine learning system which analysed the scientist’s
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