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  1. Article ; Online: COVID-19 and lung pathology

    Amita Jain

    Indian Journal of Pathology and Microbiology, Vol 63, Iss 2, Pp 171-

    2020  Volume 172

    Keywords Pathology ; RB1-214 ; Microbiology ; QR1-502 ; covid19
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Textbook of microbiology

    Amita Jain

    Indian Journal of Medical Research, Vol 152, Iss 4, Pp 437-

    An integrated and clinical case based approach

    2020  Volume 438

    Keywords Medicine ; R
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
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  3. Article ; Online: COVID-19 and lung pathology.

    Jain, Amita

    Indian journal of pathology & microbiology

    2020  Volume 63, Issue 2, Page(s) 171–172

    MeSH term(s) Betacoronavirus/isolation & purification ; COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/pathology ; Coronavirus Infections/virology ; Humans ; Lung/pathology ; Lung/virology ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/pathology ; Pneumonia, Viral/virology ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-21
    Publishing country India
    Document type Editorial
    ZDB-ID 197621-7
    ISSN 0974-5130 ; 0377-4929
    ISSN (online) 0974-5130
    ISSN 0377-4929
    DOI 10.4103/IJPM.IJPM_280_20
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  4. Article: Optimizing healthcare system by amalgamation of text processing and deep learning: a systematic review.

    Rani, Somiya / Jain, Amita

    Multimedia tools and applications

    2023  , Page(s) 1–25

    Abstract: The explosion of clinical textual data has drawn the attention of researchers. Owing to the abundance of clinical data, it is becoming difficult for healthcare professionals to take real-time measures. The tools and methods are lacking when compared to ... ...

    Abstract The explosion of clinical textual data has drawn the attention of researchers. Owing to the abundance of clinical data, it is becoming difficult for healthcare professionals to take real-time measures. The tools and methods are lacking when compared to the amount of clinical data generated every day. This review aims to survey the text processing pipeline with deep learning methods such as CNN, RNN, LSTM, and GRU in the healthcare domain and discuss various applications such as clinical concept detection and extraction, medically aware dialogue systems, sentiment analysis of drug reviews shared online, clinical trial matching, and pharmacovigilance. In addition, we highlighted the major challenges in deploying text processing with deep learning to clinical textual data and identified the scope of research in this domain. Furthermore, we have discussed various resources that can be used in the future to optimize the healthcare domain by amalgamating text processing and deep learning.
    Language English
    Publishing date 2023-05-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1479928-5
    ISSN 1573-7721 ; 1380-7501
    ISSN (online) 1573-7721
    ISSN 1380-7501
    DOI 10.1007/s11042-023-15539-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Determination of Cation Exchange Capacity of Calcareous Soils: Comparison of Summation Method and Direct Replacement Method

    Jain, Amita / Taylor, Robert W.

    Communications in Soil Science and Plant Analysis. 2023 Mar. 26, v. 54, no. 6 p.743-748

    2023  

    Abstract: The purpose of this study was to compare cation exchange capacity (CEC) values obtained by direct measurement and by summing the exchangeable base cations (EBCs) in calcareous soils. The seven soils used in this study were collected in Nassau, Bahamas, ... ...

    Abstract The purpose of this study was to compare cation exchange capacity (CEC) values obtained by direct measurement and by summing the exchangeable base cations (EBCs) in calcareous soils. The seven soils used in this study were collected in Nassau, Bahamas, and in south Florida. The collected soils were analyzed for pH, organic matter, calcium carbonate, CEC, and EBCs. The CEC was determined using Bower’s method with slight modification, which featured 1 M sodium acetate at pH 8.2 as saturating solution, 70% ethanol for washing, and 1 M ammonium acetate at pH 8.2 for extracting adsorbed sodium ions. The extracted sodium ions were quantified using an inductively coupled plasma-optical emission spectrometer (ICP-OES). The exchangeable base cations were extracted using 1 M ammonium acetate solution at pH 8.2 and quantified by ICP-OES. The cation exchange capacity values determined by the direct method and summation method were comparable for all the soils used in this study. Summation CEC was not significantly different from the measured CEC (p < 0.05) for all the soils. These results imply that the summation method based on EBCs extraction with 1 M ammonium acetate at pH 8.2 may be a viable choice for soil testing laboratories to accurately estimate CEC in calcareous soils.
    Keywords ammonium acetate ; calcium carbonate ; cation exchange capacity ; ethanol ; organic matter ; pH ; plant analysis ; sodium ; sodium acetate ; spectrometers ; Bahamas ; Florida ; Calcareous soils ; exchangeable base cations ; ICP-OES
    Language English
    Dates of publication 2023-0326
    Size p. 743-748.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 419718-5
    ISSN 1532-2416 ; 0010-3624
    ISSN (online) 1532-2416
    ISSN 0010-3624
    DOI 10.1080/00103624.2022.2118765
    Database NAL-Catalogue (AGRICOLA)

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    Z 2640: Show issues

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  7. Article ; Online: COVID-19 and lung pathology

    Jain, Amita

    Indian Journal of Pathology and Microbiology

    2020  Volume 63, Issue 2, Page(s) 171

    Keywords Pathology and Forensic Medicine ; Microbiology (medical) ; General Medicine ; covid19
    Language English
    Publisher Medknow
    Publishing country in
    Document type Article ; Online
    ZDB-ID 197621-7
    ISSN 0974-5130 ; 0377-4929
    ISSN (online) 0974-5130
    ISSN 0377-4929
    DOI 10.4103/ijpm.ijpm_280_20
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Nonbifurcating carotid artery-embryological scrutiny, intriguing associations, and review of literature.

    Jain, Savyasachi / Jain, Pooja / Malik, Amita / Charan, Bheru Dan

    Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences

    2023  , Page(s) 15910199231209083

    Abstract: Nonbifurcating carotid is quite a rare anatomical variant of carotid anatomy. The embryology of carotid development is more intricate and convoluted than is presently known. This case report finds an unusual case of a nonbifurcating carotid artery whose ... ...

    Abstract Nonbifurcating carotid is quite a rare anatomical variant of carotid anatomy. The embryology of carotid development is more intricate and convoluted than is presently known. This case report finds an unusual case of a nonbifurcating carotid artery whose embryological basis cannot be explained by popular prevalent theories. It also stresses about an abundance of case reports from East Asia on this topic, to the best of the authors' knowledge. The formation of atherosclerotic plaque requires more than abnormal fluid hemodynamic, which has been briefly pointed out.
    Language English
    Publishing date 2023-10-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1354913-3
    ISSN 2385-2011 ; 1591-0199 ; 1123-9344
    ISSN (online) 2385-2011
    ISSN 1591-0199 ; 1123-9344
    DOI 10.1177/15910199231209083
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    Zs.A 6325: Show issues Location:
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  9. Article ; Online: Atypical clinical presentation of Zika virus from India.

    Shukla, Suruchi / Yadav, Pragya D / Patil, Sunita / Jain, Amita / Aggarawal, Vikasendu

    Indian journal of pathology & microbiology

    2023  Volume 66, Issue 3, Page(s) 673–674

    MeSH term(s) Humans ; Zika Virus/genetics ; India ; Zika Virus Infection/diagnosis
    Language English
    Publishing date 2023-07-31
    Publishing country India
    Document type Letter ; Comment
    ZDB-ID 197621-7
    ISSN 0974-5130 ; 0377-4929
    ISSN (online) 0974-5130
    ISSN 0377-4929
    DOI 10.4103/ijpm.ijpm_144_22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Prognostic markers in hepatitis A-related pediatric acute liver failure and validation of the Peds-hepatitis A virus prognostic model.

    Verma, Sanjeev Kumar / Upadhyay, Piyush / Shukla, Stuti / Jain, Amita / Shukla, Suruchi / Patwa, Ajay Kumar

    Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology

    2024  

    Abstract: Objectives: Hepatitis A virus (HAV) is the commonest cause for pediatric acute liver failure (PALF) in India. The objective of the study was to identify the predictors of mortality and to evaluate the utility of Peds-HAV model in a cohort of non-LT HAV- ... ...

    Abstract Objectives: Hepatitis A virus (HAV) is the commonest cause for pediatric acute liver failure (PALF) in India. The objective of the study was to identify the predictors of mortality and to evaluate the utility of Peds-HAV model in a cohort of non-LT HAV-PALF.
    Methods: The study included HAV-related PALF from two non-transplant centers. The predictors of outcome were identified by univariate analysis followed by Cox regression analysis. The prognostic accuracy of Peds-HAV model, King's College Hospital (KCH) criteria and pediatric end-stage liver disease score (PELD) were evaluated.
    Results: As many as 140 children with PALF were included, of whom 96 (68.6%) children had HAV-PALF. On Cox regression analysis, international normalized ratio (INR) (p < 0.001), jaundice to encephalopathy (JE) interval (p < 0.001) and hepatic encephalopathy (HE) grade 3/4 (p = 0.01) were independent predictors of mortality. The mortality rates were 0% (0/42), 14.3% (3/21), 60% (9/15) and 94.4% (17/18) when none, 1, 2 or 3 criteria of the Peds-HAV were met, respectively. Peds-HAV model at a listing cut-off of  ≥ 2 criteria predicted death with 89.7% sensitivity and 89.6% specificity. In contrast, KCH criteria had a lower sensitivity of 62.1%. PELD score had a sensitivity of 89.7% and specificity of 85.1% at a cut-off of 30. The overall prognostic accuracy of Peds-HAV model (89.6%) was higher than those of KCH (83.3%) and PELD (86.5%).
    Conclusion: INR, HE grade and JE interval were independent predictors of mortality. The study provides an external validation of Peds-HAV model as a prognostic score in HAV-PALF.
    Clinical trial registry number: Not applicable as this is a retrospective study.
    Language English
    Publishing date 2024-04-03
    Publishing country India
    Document type Journal Article
    ZDB-ID 632595-6
    ISSN 0975-0711 ; 0254-8860
    ISSN (online) 0975-0711
    ISSN 0254-8860
    DOI 10.1007/s12664-024-01551-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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