Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307488663> ?p ?o ?g. }
- W4307488663 endingPage "122130" @default.
- W4307488663 startingPage "122130" @default.
- W4307488663 abstract "Coronavirus disease 2019 (COVID-19) has accelerated the growth of the digital therapeutics (DTx) market; therefore, development strategies for new DTx products are necessary to satisfy market needs. However, data-driven methods for recommending digital healthcare technologies for novel DTx applications are scarce. We propose a technology opportunity discovery framework that recommends 1) potential technologies as new DTx products, and 2) the applicable target disorders. We applied BERTopic and PatentSBERTa to patents filed with the United States Patent and Trademark Office and calculated the score of potential technologies on the basis of their thematic characteristics with respect to their digital capabilities and similarity to DTx technologies. By identifying the target disorder of similar technologies, specific disorders were proposed that can be treated with the proposed technique. By applying the proposed framework to psychiatric disorders—one of the largest therapeutic areas of DTx, we recommend digital monitoring technologies applicable to poor breathing or sleeping patterns for cognitive impairment. Furthermore, we provide strategies to utilize the recommended digital technologies for DTx for specific disorders to facilitate a direct intervention or treatment, which can contribute to the planning of roadmaps for DTx. • The framework identifies technologies for potential digital therapeutics (DTx). • They are derived using BERTopic and PatentSBERTa. • We apply the framework to psychiatric therapeutic areas for empirical study. • The proposed data-driven approach can assist firms in planning their DTx roadmaps." @default.
- W4307488663 created "2022-11-02" @default.
- W4307488663 creator A5009489723 @default.
- W4307488663 creator A5043258197 @default.
- W4307488663 creator A5055992056 @default.
- W4307488663 date "2023-01-01" @default.
- W4307488663 modified "2023-10-12" @default.
- W4307488663 title "Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa" @default.
- W4307488663 cites W1774217388 @default.
- W4307488663 cites W1968287986 @default.
- W4307488663 cites W1973109217 @default.
- W4307488663 cites W1986264958 @default.
- W4307488663 cites W1987161568 @default.
- W4307488663 cites W2020587540 @default.
- W4307488663 cites W2043068576 @default.
- W4307488663 cites W2044262685 @default.
- W4307488663 cites W2046204053 @default.
- W4307488663 cites W2050467251 @default.
- W4307488663 cites W2070850111 @default.
- W4307488663 cites W2074435267 @default.
- W4307488663 cites W2080127531 @default.
- W4307488663 cites W2083143542 @default.
- W4307488663 cites W2083776263 @default.
- W4307488663 cites W2088262639 @default.
- W4307488663 cites W2089502871 @default.
- W4307488663 cites W2099638867 @default.
- W4307488663 cites W2104912499 @default.
- W4307488663 cites W2123824490 @default.
- W4307488663 cites W2127217213 @default.
- W4307488663 cites W2152794177 @default.
- W4307488663 cites W2159583324 @default.
- W4307488663 cites W2162317738 @default.
- W4307488663 cites W2165493400 @default.
- W4307488663 cites W2170631467 @default.
- W4307488663 cites W2190988271 @default.
- W4307488663 cites W2463607267 @default.
- W4307488663 cites W2473551374 @default.
- W4307488663 cites W2591179595 @default.
- W4307488663 cites W2748006193 @default.
- W4307488663 cites W2754210809 @default.
- W4307488663 cites W2780388949 @default.
- W4307488663 cites W2789330408 @default.
- W4307488663 cites W2793903251 @default.
- W4307488663 cites W2801026619 @default.
- W4307488663 cites W2802924568 @default.
- W4307488663 cites W2804819160 @default.
- W4307488663 cites W2809404574 @default.
- W4307488663 cites W2888532066 @default.
- W4307488663 cites W2889961245 @default.
- W4307488663 cites W2900940998 @default.
- W4307488663 cites W2915283919 @default.
- W4307488663 cites W2918956783 @default.
- W4307488663 cites W2927777372 @default.
- W4307488663 cites W2930909062 @default.
- W4307488663 cites W2946726403 @default.
- W4307488663 cites W2948909602 @default.
- W4307488663 cites W2953600524 @default.
- W4307488663 cites W2971990587 @default.
- W4307488663 cites W2975945642 @default.
- W4307488663 cites W2978823957 @default.
- W4307488663 cites W2986236253 @default.
- W4307488663 cites W2990825804 @default.
- W4307488663 cites W2996393980 @default.
- W4307488663 cites W3005514019 @default.
- W4307488663 cites W3006417369 @default.
- W4307488663 cites W3015565366 @default.
- W4307488663 cites W3021413640 @default.
- W4307488663 cites W3027299079 @default.
- W4307488663 cites W3033505960 @default.
- W4307488663 cites W3034156543 @default.
- W4307488663 cites W3105352853 @default.
- W4307488663 cites W3110865436 @default.
- W4307488663 cites W3116604458 @default.
- W4307488663 cites W3139295855 @default.
- W4307488663 cites W3146839354 @default.
- W4307488663 cites W3164675157 @default.
- W4307488663 cites W3174261521 @default.
- W4307488663 cites W3179463712 @default.
- W4307488663 cites W3191904684 @default.
- W4307488663 cites W3196804213 @default.
- W4307488663 cites W3202820081 @default.
- W4307488663 cites W3207333624 @default.
- W4307488663 cites W4224116461 @default.
- W4307488663 cites W4225149230 @default.
- W4307488663 cites W4251386234 @default.
- W4307488663 cites W566914744 @default.
- W4307488663 cites W1787933966 @default.
- W4307488663 doi "https://doi.org/10.1016/j.techfore.2022.122130" @default.
- W4307488663 hasPublicationYear "2023" @default.
- W4307488663 type Work @default.
- W4307488663 citedByCount "5" @default.
- W4307488663 countsByYear W43074886632023 @default.
- W4307488663 crossrefType "journal-article" @default.
- W4307488663 hasAuthorship W4307488663A5009489723 @default.
- W4307488663 hasAuthorship W4307488663A5043258197 @default.
- W4307488663 hasAuthorship W4307488663A5055992056 @default.
- W4307488663 hasConcept C118552586 @default.
- W4307488663 hasConcept C41008148 @default.