The Transactions on Latest Trends in Health Sector(TLHS) welcomes papers on broad aspects of the Health Sector that constitute advances in the overall field including but not limited to, cognition and Health Sector, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty. The journal reports results achieved in addition to proposals for new ways of looking at Health Sector problems, both of which must include demonstrations of value and effectiveness.
Papers describing applications of various technologies in Health Sector are also welcome, but the focus should be on how new and novel tech. methods advance performance in application areas, rather than a presentation of yet another application of conventional methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the IoT techniques being exploited.
Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews. The journal will also consider summary papers that describe challenges and competitions from various areas of the Health Sector. Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition itself.
From time to time, there are special issues devoted to a particular topic. Such special issues must always have open calls-for-papers.
TLHS is a double-blind peer-reviewed journal indexed in several databases like google scholar, Wos, Dooj, EI
JCR Impact Factor : 2.8 (2022)
JCR Impact Factor : 6.1 (2023)
JCR Impact Factor : Under Evaluation (2024)
Note: If your article is selected, there is an open access fee of $1500 USD, which may be waived based on the paper's quality.