2 18 Abstract 19 Stroke is a common disabling disease severely affecting the daily life of the 20 patients. There is evidence that rehabilitation therapy can improve the movement 21 function. However, there are no clear guidelines that identify specific, effective 22 rehabilitation therapy schemes, and the development of new rehabilitation techniques 23 has been fairly slow. One informatics translational approach, called ABC model in 24 Literature-based Discovery, was used to mine an existing rehabilitation candidate 25 which is most likely to be repositioned for stroke. As in the classic ABC model 26 originated from Don Swanson, we built the internal links of stroke (A), assessment 27 scales (B), rehabilitation therapies (C) in PubMed relating to upper limb function 28 measurements for stroke patients. In the first step, with E-utility we retrieved both 29 stroke related assessment scales and rehabilitation therapies records, and complied 30 two datasets called Stroke_Scales and Stroke_Therapies, respectively. In the next 31 step, we crawled all rehabilitation therapies co-occurred with the Stroke_Theapies, 32 named as All_Therapies. Therapies that were already included in Stroke_Therapies 33 were deleted from All_Therapies, so that the remaining therapies were the potential 34 rehabilitation therapies, which could be repositioned for stroke after subsequent 35 filtration by manual check. We identified the top ranked repositioning rehabilitation 36 therapy following by subsequent clinical validation. Hand-arm bimanual intensive 37 training (HABIT) ranked the first in our repositioning rehabilitation therapies list, 38 with the most interaction links with Stroke_Scales. HABIT showed a significant 3 39 improvement in clinical scores on assessment scales of Fugl-Meyer Assessment and 40 Action Research Arm Test in the clinical validation on upper limb function for acute 41 stroke patients. Based on the ABC model and clinical validation of the results, we put 42 forward that HABIT as a promising rehabilitation therapy for stroke, which shows 43 that the ABC model is an effective text mining approach for rehabilitation therapy 44 repositioning. The results seem to be promoted in clinical knowledge discovery. 45 46 Keywords 47 Text mining; ABC model; Stroke; Hand-arm bimanual intensive training; Upper 48 extremity 49 50 Author Summary 51 In the present study, we proposed a text mining approach to mining terms related 52 to disease, rehabilitation therapy, and assessment scale from literature, with a 53 subsequent ABC inference analysis to identify relationships of these terms across 54 publications. The clinical validation demonstrated that our approach can be used to 55 identify potential repositioning rehabilitation therapy strategies for stroke. 56 Specifically, we identified a promising rehabilitation method called HABIT 57 previously used in pediatric congenital hemiplegia. A subsequent clinical trial 58 confirmed this as a highly promising rehabilitation therapy for stroke. 4 59 Introduction 60 Stroke and rehabil...