International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/1291 2020 2020 Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Cawangan Kelantan, Machang Campus, Kelantan, Malaysia Norzieha Mustapha Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Cawangan Kelantan, Machang Campus, Kelantan, Malaysia Suriana Alias Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Cawangan Kelantan, Machang Campus, Kelantan, Malaysia Roliza Md Yasin Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Cawangan Kelantan, Machang Campus, Kelantan, Malaysia Nurnisa Nasuha Mohd Yusof Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Cawangan Kelantan, Machang Campus, Kelantan, Malaysia Nurul Najiha Fakhrarazi Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Cawangan Kelantan, Machang Campus, Kelantan, Malaysia Nik Nur Aisyah Nik Hassan This study aims to propose a new entropy weight on the distance measure of single value neutrosophic set (SVNS) to analyse medical diagnosis patient’s risk. Four distance measures will be integrated with three entropy weight concepts and applied to medical diagnosis. A new entropy weight measure integrated with the four distance measures are calculated using the medical data of one patient with five symptoms and five diseases. The calculated new entropy and its associated distance measures give consistent finding with the existing entropy weight measures. However, all the values are even smaller showing that the relation between patient A and disease are stronger. This evaluation and diagnosis approach is applicable to a wide variety of other resources and medical problems. 2022 2022 375 383 10.54216/IJNS.190118 https://www.americaspg.com/articleinfo/21/show/1291