AI Medical Compendium Topic:
Big Data

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ASAS-NANP symposium: mathematical modeling in animal nutrition-Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Journal of animal science
Advancements in precision livestock technology have resulted in an unprecedented amount of data being collected on individual animals. Throughout the data analysis chain, many bottlenecks occur, including processing raw sensor data, integrating multi...

[Development of a Medical Big Data Analysis System Utilizing Artificial Intelligence Analytics in Clinical Pharmacy].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Industrial reforms utilizing artificial intelligence (AI) have been progressing remarkably worldwide in recent years. In medical informatics, medical big-data analytics involving AI are increasingly being promoted, and AI in the medical field is bein...

[Literacy for Appropriate Use of Medical Big Data and Artificial Intelligence].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Recent developments have enabled daily accumulated medical information to be converted into medical big data, and new evidence is expected to be created using databases and various open data sources. Database research using medical big data was activ...

Cost supervision mining from EMR based on artificial intelligence technology.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: To effectively monitor medical insurance funds in the era of big data, the study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle of inpatient cost supervision information system and exploring...

Temporal Phenomics - A Powerful Approach Using AI to Achieve "Earlier Medicine".

Studies in health technology and informatics
The resurgence of machine learning AI has triggered the importance of collecting "personal big data" over a long period of time from wearable devices and EHRs. Collecting data from this large number of variables over a significant period of time has ...

Human and machine: Better at pathology together?

Cancer cell
Meaningful integration of artificial intelligence (AI) will transform the application of "big data" for patient care, diagnosis, and research. In this issue of Cancer Cell, Chen et al. describe a transparent system to integrate histopathology and mol...

Big Health Data Research and Group Harm: The Scope of IRB Review.

Ethics & human research
Much of precision medicine is driven by big health data research-the analysis of massive datasets representing the complex web of genetic, behavioral, environmental, and other factors that impact human well-being. There are some who point to the Comm...

Contemporary Challenges in Clinical Flow Cytometry: Small Samples, Big Data, Little Time.

The journal of applied laboratory medicine
BACKGROUND: Immunophenotypic analysis of cell populations by flow cytometry has an established role in primary diagnosis and disease monitoring of many hematologic diseases. A persistent problem in evaluation of specimens is suboptimal cell counts an...

The Digital Transformation of Mental Health Care and Psychotherapy - A Market and Research Maturity Analysis.

Studies in health technology and informatics
Digital technology trends for mental health, instantiated with only emerging use cases or already established applications, offer significant potential to improve clinical therapy and care. In this paper, we identify five major trends, mHealth/eHealt...