Author:
Lim Jia Wei,Ling Ting Rang,Tsen Xin Hui,Kho Sarah Jane,Lee Hui En,Benjamen Patrick Guda anak,Ooi Mong How,Chua Hong Siang
Publisher
Springer Nature Singapore
Reference11 articles.
1. Desikan, P.: Sputum Smear Microscopy in tuberculosis: Is it still relevant? Ind. J. Med. Res. (2013). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705651/. Accessed 04 July 2022
2. Meraj, S.S., Yaakob, R., Azman, A., Mohd Rum, S.N., Ahmad Nazri, A.S.: Artificial intelligence in diagnosing tuberculosis: a review. Int. J. Adv. Sci. Eng. Inf. Technol. 9(1), 81 (2019)
3. El-Solh, A.A., Hsiao, C.-B., Goodnough, S., Serghani, J., Grant, B.J.B.: Predicting active pulmonary tuberculosis using an artificial neural network. Chest 116(4), 968–973 (1999)
4. Santos, A.M., Pereira, B.B., Seixas, J.M., Mello, F.C., Kritski, A.L.: Neural networks: an application for predicting smear negative pulmonary tuberculosis. In: Advances in Statistical Methods for the Health Sciences, pp. 275–287 (2007)
5. Er, O., Temurtas, F., Tanrıkulu, A.Ç.: Tuberculosis disease diagnosis using artificial neural networks. J. Med. Syst. 34(3), 299–302 (2010)