| 2. |
- Teng, Fei, et al.
(författare)
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Automatic Medical Code Assignment via Deep Learning Approach for Intelligent Healthcare
- 2020
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Ingår i: IEEE journal of biomedical and health informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 2168-2194 .- 2168-2208. ; 24:9, s. 2506-2515
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Tidskriftsartikel (refereegranskat)abstract
- With the development of healthcare 4.0, there has been an explosion in the amount of data such as image, medical text, physiological signals, lab tests, etc. Among them, medical records provide a complete picture of the associated clinical events. However, the processing of medical texts is difficult because they are structurally free, diverse in style, and have subjective factors. Assigning metadata codes from the International Classification of Diseases (ICD) presents a standardized way of indicating diagnoses and procedures, so it becomes a mandatory process for understanding medical records to make better clinical and financial decisions. Such a manual encoding task is time-consuming, error-prone and expensive. In this paper, we proposed a deep learning approach and a medical topic mining method to automatically predict ICD codes from text-free medical records. The result of the F1 score on Medical Information Mart for Intensive Care (MIMIC-III) dataset increases by 5% over the state of art. It also suitable for multiple ICD versions and languages. For the specific disease, atrial fibrillation, the F1 score is up to 96% and 93.3% using in-house ICD-10 datasets and MIMIC-III datasets, respectively. We developed an Artificial Intelligence based coding system, which can greatly improve the efficiency and accuracy of human coders, and meanwhile accelerate the secondary use for clinical informatics.
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| 3. |
- Wang, Hui, et al.
(författare)
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A water-soluble "turn-on" fluorescent probe for specifically imaging mitochondria viscosity in living cells
- 2018
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Ingår i: Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy. - : PERGAMON-ELSEVIER SCIENCE LTD. - 1386-1425 .- 1873-3557. ; 203, s. 127-131
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Tidskriftsartikel (refereegranskat)abstract
- Rational design of water-soluble probes for mitochondrial viscosity in practical biological applications remains a challenge. Herein, we described a novel hydro soluble benzothiazole salt derivative MitoSN, which exhibits specifically response and singular sensitivity to the mitochondria viscosity in living Hela cells. MitoSN displays an excellent fluorescence enhancement (ca. 35-fold) with the increase of the viscosity in the water-glycerol system. Moreover, confocal microscopy indicates that MitoSN is sensitive to the local viscosity and selectively stains mitochondria, the body of zebrafish as well. Importantly, MitoSN is capable to identify the viscosity difference of mitochondria in normal and nystatin treated Hela cells. The work provides a useful tool to monitor the changes of viscosity in the mitochondrial microenvironment. (C) 2018 Elsevier B.V. All rights reserved.
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