Open Access
| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 3 | |
| Section | Mobility | |
| DOI | https://doi.org/10.1051/itmconf/20246903001 | |
| Published online | 13 December 2024 | |
- Kaur S., et al. Medical diagnostic systems using artificial intelligence (AI) algorithms: Principles and perspectives. IEEE Access. 2020;8:228049–228069. [CrossRef] [Google Scholar]
- Leaman R., Do’gan R.I., Lu Z. Dnorm: Disease name normalization with pairwise learning to rank. Bioinformatics. 2013;29:2909–2917. [CrossRef] [Google Scholar]
- Armstrong N., Hilton P. Doing diagnosis: Whether and how clinicians use a diagnostic tool of uncertain clinicalutility. Soc. Sci. Med. 2014;120:208–214. [CrossRef] [Google Scholar]
- Ball S.A., Jaffe A.J., Crouse-Artus M.S., Rounsaville B.J., O’Malley S.S. Multidimensional subtypes and treatment outcome in first-time DWI offenders. Addict. Behav. 2000;25:167–181. [CrossRef] [Google Scholar]
- Yang Z., et al. Clinical assistant diagnosis for electronic medical record based on convolutional neural network. Sci. Rep. 2018;8:1–9. [Google Scholar]
- Meesala A., Paul J. Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the future. J. Retail. Consum. Serv. 2018;40:261–269. [CrossRef] [Google Scholar]
- Shah A.M., Yan X., Shah S.A.A., Mamirkulova G., Mining patient opinion to evaluate the service quality in healthcare: a deep-learning approach. J. Ambient Intell. Humaniz. Comput. 2020;11:2925–2942. [CrossRef] [Google Scholar]
- Danielson B., et al. Development of indicators of the quality of radiotherapy for localized prostate cancer. Radiother. Oncol. 2011;99:29–36 [CrossRef] [Google Scholar]
- Jackins V., Vimal S., Kaliappan M., Lee M.Y. AI- based smart prediction of clinical disease using random forest classifier and Naive Bayes. J. Supercomput. 2021;77:5198–5219. [CrossRef] [Google Scholar]
- Koppu S., Maddikunta P.K.R., Srivastava G. Deep learning disease prediction model for use with intelligent robots. Comput. Electr. Eng. 2020;87:106765. [CrossRef] [Google Scholar]
- Noori B. Classification of customer reviews using machine learning algorithms. Appl. Artif. Intell. 2021;35:567–588. [CrossRef] [Google Scholar]
- Pruning, N. Measures, I. Network Pruning and Information-Entropy Measures. 1–20 (2022). [13] Radhika R., Thomas George S. Heart disease classification using machine learning techniques. J. Phys. Conf. Ser. 2021;1:012047. [Google Scholar]
- Haraty R.A., Dimishkieh M., Masud M. An enhanced k- means clustering algorithm for pattern discovery in healthcare data. Int. J. Distrib. Sens. Netw. 2015;11(6):615740. [CrossRef] [Google Scholar]
- Odeyemi S.O., Akinpelu M.A., Abdulwahab R., Ibitoye B.A., Amoo A.I. Evaluation of selected software packages for structural engineering works. ABUAD J. Eng. Res. Dev. 2020;3:133–141. [Google Scholar]
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