Matches in SemOpenAlex for { <https://semopenalex.org/work/W3197533632> ?p ?o ?g. }
- W3197533632 abstract "Late-life depression (LLD) is a major public health concern. Despite the availability of effective treatments for depression, barriers to screening and diagnosis still exist. The use of current standardized depression assessments can lead to underdiagnosis or misdiagnosis due to subjective symptom reporting and the distinct cognitive, psychomotor, and somatic features of LLD. To overcome these limitations, there has been a growing interest in the development of objective measures of depression using artificial intelligence (AI) technologies such as natural language processing (NLP). NLP approaches focus on the analysis of acoustic and linguistic aspects of human language derived from text and speech and can be integrated with machine learning approaches to classify depression and its severity. In this review, we will provide rationale for the use of NLP methods to study depression using speech, summarize previous research using NLP in LLD, compare findings to younger adults with depression and older adults with other clinical conditions, and discuss future directions including the use of complementary AI strategies to fully capture the spectrum of LLD." @default.
- W3197533632 created "2021-09-13" @default.
- W3197533632 creator A5010759658 @default.
- W3197533632 creator A5057595715 @default.
- W3197533632 creator A5069206173 @default.
- W3197533632 creator A5079735833 @default.
- W3197533632 date "2021-09-06" @default.
- W3197533632 modified "2023-09-30" @default.
- W3197533632 title "Natural Language Processing as an Emerging Tool to Detect Late-Life Depression" @default.
- W3197533632 cites W1567768485 @default.
- W3197533632 cites W1968306724 @default.
- W3197533632 cites W1969865720 @default.
- W3197533632 cites W1972723949 @default.
- W3197533632 cites W1975934950 @default.
- W3197533632 cites W1989085243 @default.
- W3197533632 cites W1991517279 @default.
- W3197533632 cites W1999513898 @default.
- W3197533632 cites W2003260949 @default.
- W3197533632 cites W2003502731 @default.
- W3197533632 cites W2025888966 @default.
- W3197533632 cites W2026741936 @default.
- W3197533632 cites W2035804753 @default.
- W3197533632 cites W2038493654 @default.
- W3197533632 cites W2042494711 @default.
- W3197533632 cites W2042860351 @default.
- W3197533632 cites W2045054079 @default.
- W3197533632 cites W2046460637 @default.
- W3197533632 cites W2047509901 @default.
- W3197533632 cites W204854131 @default.
- W3197533632 cites W2053879736 @default.
- W3197533632 cites W2057393928 @default.
- W3197533632 cites W2071268704 @default.
- W3197533632 cites W2073851606 @default.
- W3197533632 cites W2078602406 @default.
- W3197533632 cites W2082471194 @default.
- W3197533632 cites W2094341593 @default.
- W3197533632 cites W2100322707 @default.
- W3197533632 cites W2105477327 @default.
- W3197533632 cites W2109950763 @default.
- W3197533632 cites W2112519660 @default.
- W3197533632 cites W2132322340 @default.
- W3197533632 cites W2137024248 @default.
- W3197533632 cites W2140887652 @default.
- W3197533632 cites W2140910804 @default.
- W3197533632 cites W2148822124 @default.
- W3197533632 cites W2152919321 @default.
- W3197533632 cites W2158516192 @default.
- W3197533632 cites W2161897659 @default.
- W3197533632 cites W2162709223 @default.
- W3197533632 cites W2324543148 @default.
- W3197533632 cites W2337931738 @default.
- W3197533632 cites W2512302303 @default.
- W3197533632 cites W2522742059 @default.
- W3197533632 cites W2526628642 @default.
- W3197533632 cites W2560766222 @default.
- W3197533632 cites W2587985522 @default.
- W3197533632 cites W2617110785 @default.
- W3197533632 cites W2748115049 @default.
- W3197533632 cites W2754588135 @default.
- W3197533632 cites W2766371122 @default.
- W3197533632 cites W2784161056 @default.
- W3197533632 cites W2793244201 @default.
- W3197533632 cites W2794425661 @default.
- W3197533632 cites W2889310216 @default.
- W3197533632 cites W2895853530 @default.
- W3197533632 cites W2912654919 @default.
- W3197533632 cites W2943497673 @default.
- W3197533632 cites W2945350190 @default.
- W3197533632 cites W2993019780 @default.
- W3197533632 cites W2995352324 @default.
- W3197533632 cites W3000211686 @default.
- W3197533632 cites W3004047823 @default.
- W3197533632 cites W3007095655 @default.
- W3197533632 cites W3026624461 @default.
- W3197533632 cites W3032934243 @default.
- W3197533632 cites W3033476063 @default.
- W3197533632 cites W3037527963 @default.
- W3197533632 cites W3044322717 @default.
- W3197533632 cites W3046275966 @default.
- W3197533632 cites W3062506780 @default.
- W3197533632 cites W3087532900 @default.
- W3197533632 cites W3089035976 @default.
- W3197533632 cites W3099335657 @default.
- W3197533632 cites W3112488323 @default.
- W3197533632 cites W3120354171 @default.
- W3197533632 cites W3124523525 @default.
- W3197533632 cites W3125822146 @default.
- W3197533632 cites W3125949666 @default.
- W3197533632 cites W3135958580 @default.
- W3197533632 cites W3140930894 @default.
- W3197533632 cites W3143396701 @default.
- W3197533632 cites W3158914099 @default.
- W3197533632 cites W3159334686 @default.
- W3197533632 cites W3159987143 @default.
- W3197533632 cites W4211130665 @default.
- W3197533632 cites W4294185218 @default.
- W3197533632 doi "https://doi.org/10.3389/fpsyt.2021.719125" @default.
- W3197533632 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8450440" @default.
- W3197533632 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34552519" @default.
- W3197533632 hasPublicationYear "2021" @default.