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AI in health: state of the art, challenges, and future directions
Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …
range of disciplines in recent years, including health. The increase in computer hardware …
[HTML][HTML] Application of artificial intelligence and machine learning in early detection of adverse drug reactions (ADRs) and drug-induced toxicity
S Yang, S Kar - Artificial Intelligence Chemistry, 2023 - Elsevier
Adverse drug reactions (ADRs) and drug-induced toxicity are major challenges in drug
discovery, threatening patient safety and dramatically increasing healthcare expenditures …
discovery, threatening patient safety and dramatically increasing healthcare expenditures …
Supervised reinforcement learning with recurrent neural network for dynamic treatment recommendation
Dynamic treatment recommendation systems based on large-scale electronic health records
(EHRs) become a key to successfully improve practical clinical outcomes. Prior relevant …
(EHRs) become a key to successfully improve practical clinical outcomes. Prior relevant …
Data-driven personal thermal comfort prediction: A literature review
Personal thermal comfort prediction modeling has become a trending topic in efforts to
improve individual indoor comfort, a notion that is closely related to the design and …
improve individual indoor comfort, a notion that is closely related to the design and …
Risk prediction with electronic health records: A deep learning approach
The recent years have witnessed a surge of interests in data analytics with patient Electronic
Health Records (EHR). Data-driven healthcare, which aims at effective utilization of big …
Health Records (EHR). Data-driven healthcare, which aims at effective utilization of big …
Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
SMR: medical knowledge graph embedding for safe medicine recommendation
Most of the existing medicine recommendation systems that are mainly based on electronic
medical records (EMRs) are significantly assisting doctors to make better clinical decisions …
medical records (EMRs) are significantly assisting doctors to make better clinical decisions …
[HTML][HTML] Patient similarity for precision medicine: A systematic review
Evidence-based medicine is the most prevalent paradigm adopted by physicians. Clinical
practice guidelines typically define a set of recommendations together with eligibility criteria …
practice guidelines typically define a set of recommendations together with eligibility criteria …
Deep patient similarity learning for personalized healthcare
Predicting patients' risk of develo** certain diseases is an important research topic in
healthcare. Accurately identifying and ranking the similarity among patients based on their …
healthcare. Accurately identifying and ranking the similarity among patients based on their …
Interaction-aware drug package recommendation via policy gradient
Recent years have witnessed the rapid accumulation of massive electronic medical records,
which highly support intelligent medical services such as drug recommendation. However …
which highly support intelligent medical services such as drug recommendation. However …