Cause Of Women Research Articles

Protective effect of Luffa cylindrica fermentation liquid on cyclophosphamide-induced premature ovarian failure in female mice by attenuating oxidative stress, inflammation and apoptosis

Premature ovarian failure (POF) is a leading cause of women’s infertility without effective treatment. The purpose of this study was to investigate the protective effects of Luffa cylindrica fermentation liquid (LF) on cyclophosphamide (CTX) -induced POF in mice and to preliminarily investigate the underlying mechanisms. Thirty-two Balb/c mice were divided into four groups randomly. One group served as the control, while the other three received CTX injections to establish POF models. A 14-day gavage of either 5 or 10 μL/g LF was administered to two LF pretreatment groups. To analyze the effects of LF, the ovarian index, follicle number, the levels of serum sex hormones, superoxide dismutase (SOD), glutathione (GSH), malondialdehyde (MDA), inflammatory factors, and apoptosis of the ovarian cells were measured. The effects of LF pretreatment on the expression of TLR4/NF-κB and apoptosis pathways were also evaluated. We found that LF pretreatment increased the ovarian index and the number of primordial and antral follicles while decreasing those of atretic follicles. LF pretreatment also increased the serum levels of estradiol (E2) and anti-Müllerian hormone (AMH), while decreasing those of luteinizing hormone (LH) and follicle-stimulating hormone (FSH). Furthermore, LF pretreatment increased the levels of SOD and GSH in the ovaries, while decreasing those of MDA, tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β). LF administration reduced the amount of TUNEL+ ovarian cells and the levels of TLR4 and NF-κB P65 protein expression. In conclusion, LF has antioxidant, anti-inflammatory as well as anti-apoptotic effects against CTX-induced POF, and the inhibition of TLR4/NF-κB and apoptosis pathways may be involved in its mechanisms.Graphical

Effect of emotional freedom technique on the fear of childbirth in Iranian primiparous women: a randomized controlled trial.

Fear of childbirth is one of the main causes of women's emotional difficulty experienced in the perinatal period, especially those having their first child. The aim of this study was to investigate the effect of emotional freedom technique (EFT) on the fear of childbirth among primiparous women in Ahvaz, Iran. This randomized clinical trial was conducted on 116 primiparous women. The participants were randomly divided into intervention (n = 58) or control (n = 58) groups. The intervention group received daily stimulation of certain points in their body for 12 weeks using EFT. The fear of childbirth was measured at the beginning of the study and 12 weeks after the intervention using the Wijma Delivery Expectancy/Experience Questionnaire (WDEQ-A) and at the first postpartum visit with WDEQ-B. Data were analyzed using independent t-test, paired t-test, Chi-square or Fisher's exact test, and analysis of covariance (ANCOVA). After intervention, the mean score of fear of childbirth in the intervention group decreased from 49.39 ± 8.21 to 40.42 ± 13.43 (p < 0.0001), while the same rate in the control group increased from 49.47 ± 9.06 to 52.09 ± 7.73 (p = 0.002). The mean score of fear of childbirth after delivery in the control group (45.88 ± 7.10) was higher than that in the intervention group (27.13 ± 5.08) (p < 0.0001). Based on the findings of this study, EFT can be considered as an effective method to reduce the fear of childbirth score in primiparous women.

Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning.

Cervical cancer is a leading cause of women's mortality, emphasizing the need for early diagnosis and effective treatment. In line with the imperative of early intervention, the automated identification of cervical cancer has emerged as a promising avenue, leveraging machine learning techniques to enhance both the speed and accuracy of diagnosis. However, an inherent challenge in the development of these automated systems is the presence of missing values in the datasets commonly used for cervical cancer detection. Missing data can significantly impact the performance of machine learning models, potentially leading to inaccurate or unreliable results. This study addresses a critical challenge in automated cervical cancer identification-handling missing data in datasets. The study present a novel approach that combines three machine learning models into a stacked ensemble voting classifier, complemented by the use of a KNN Imputer to manage missing values. The proposed model achieves remarkable results with an accuracy of 0.9941, precision of 0.98, recall of 0.96, and an F1 score of 0.97. This study examines three distinct scenarios: one involving the deletion of missing values, another utilizing KNN imputation, and a third employing PCA for imputing missing values. This research has significant implications for the medical field, offering medical experts a powerful tool for more accurate cervical cancer therapy and enhancing the overall effectiveness of testing procedures. By addressing missing data challenges and achieving high accuracy, this work represents a valuable contribution to cervical cancer detection, ultimately aiming to reduce the impact of this disease on women's health and healthcare systems.

Advancing early onset colorectal cancer research: research advocacy, health disparities, and scientific imperatives.

Early onset colorectal cancer (EOCRC) emerged as the fourth foremost contributor to cancer-related mortality among both genders in the late 1990s. Presently, EOCRC (<50) ranks as the leading cause of cancer mortality in men and the second leading cause in women within the United States. Similar trends are now also evident globally, particularly in developed countries. Furthermore, there is strong evidence confirming that health disparities persist in the diagnosis and treatment of EOCRC, with signs indicating that these gaps may worsen in specific cases. These alarming trends highlight the critical need for research to inform evidence-based interventions to reduce the burden of EOCRC globally. Fight Colorectal Cancer (Fight CRC) is the leading patient advocacy group in the United States providing information on colon and rectal cancer research, prevention, treatment, and policy. It is the opinion of Fight CRC that an international, coordinated effort with the medical, research, scientific, advocacy, industry and funding community is needed to advance impactful research. Fight CRC, in partnership with José Perea, MD, PhD, of the Institute of Biomedical Research of Salamanca (IBSAL) in Spain, and partners, are working together to address this global phenomenon and are presenting a multi-faceted research approach to move the field forward.

The Role of Women in Terrorism in Indonesia

The involvement of women in terrorism in Indonesia has been seen since 2000 which was marked by Munfiatun's involvement as Noordin Muhammad Top's second wife in acts of terrorism at the Marriot Hotel in 2003 and the Australian Embassy in Jakarta in 2004. At this time, women do not act as the main actors but as supporters based on the relationship between husband and wife. Changes in the status of women's roles in acts of terrorism began to be seen in 2016 after the arrest of Dian Yulia Novi as the perpetrator in the pot bomb case in Bekasi. After the arrest, there was an increase in the involvement of women in acts of terrorism. Social media has succeeded in changing the role of women into perpetrators of terrorist actions. This article aims to determine the factors causing the increase in the role of women in terrorism in Indonesia, both in the form of bomb threats, attacks on officers, and suicide bombings. This study uses qualitative methods with secondary data sourced from court decisions and news in the national media from 2016 to 2022. This research found that husband and wife relationships aren't the main cause of women's involvement in Indonesian terrorism. Through the theory of the Hypodermic Needle, it was obtained that the media can provide information that affects society at large. These theories are considered appropriate in describing the propaganda of terrorist groups against female terror perpetrators in Indonesia where the media has a major influence in changing the thinking of the audience, directing the behavior of the audience, shaping attitudes, and even initiating the implementation of terror acts.

The British Government's Disregard Towards Women in Democratisation Process from 1832 to 1918

This work is concerned with the British Government’s disregard towards women in the democratisation process in the nineteenth and twentieth centuries purposely showing the negative impact of the traditional view of women by men in the current political sphere. From the historical perspective, the results have proved that the British Government has developed some unfair behaviour vis-à-vis women, which excluded them from political life for several years. Moreover, after a long struggle between the people and the Government, Parliament voted for the First Reform Act in 1832. This Act gave the right to vote to some men from the Middle Class, but no particular attention was paid to women's cause. Warned of this disqualification, women decided to rise up and claim their rights, but this would not be a simple affair. In the long run of time, men alike women, made up their minds to vigorously attack the Government.

Correlation Between Ultrasound BI-Rads 4 Breast Lesions and Fine Needle Cytology Categories in a Sample of Iraqi Female Patients

Abstract Breast cancer is the most common malignancy in female and the most registered cause of women’s mortality worldwide. BI-RADS 4 breast lesions are associated with an exceptionally high rate of benign breast pathology and breast cancer, so BI-RADS 4 is subdivided into 4A, 4B and 4C to standardize the risk estimation of breast lesions. The aim of the study: to evaluate the correlation between BI-RADS 4 subdivisions 4A, 4B &amp; 4C and the categories of reporting FNA cytology results. A case series study was conducted in the Oncology Teaching Hospital in Baghdad from September 2018 to September 2019. Included patients had suspicious breast findings and given BI-RADS 4 (4A, 4B, or 4C) in the radiological report accordingly. Fine needle aspiration was performed under the ultrasound guide and the results were classified into five categories. The biopsy was performed for suspicious, malignant or equivocal FNA findings. This study included 158 women with BI-RADS 4 breast lesions with the mean age of (44.6 years); There was a highly significant association between BI-RADS 4 breast lesion and FNA results (p&lt;0.001); 51.9% of BI-RADS IV-C had C5 FNA results. There was a highly significant association between BI-RADS 4 lesion and the final diagnosis (p&lt;0.001); 41.2% of BI-RADS 4 B had a malignant breast lesion, while 37.3% of BI-RADS 4 C had a malignant lesion. A clear relationship was observed between BI-RADS 4 subcategories and the fine needle aspiration cytology subgroups. BI-RADS 4-B is helpful in the discrimination between benign and malignant breast lesions; furthermore BI-RADS 4C has more acceptable validity in the diagnosis of breast malignancy. Therefore, BI-RADS subcategories are encouraged to be included and mentioned in the ultrasound report for more accurate estimation of the lesion nature.

Dünyada kadın yoksulluğunun genel görünümü

various strata of society, but it particularly impacts women and children deeply. Poverty encompasses not only income deficiency for women but also the lack of social participation, leading to social exclusion. However, the question of whether poverty should be considered primarily as a women's issue or examined from a broader perspective is a subject of debate, as women can be disproportionately affected due to a gender-biased perspective.&#x0D; Recent research indicates that in contemporary societies, women are more adversely affected by poverty compared to men. Gender inequality and income disparities often restrict women's access to education, limit employment opportunities, push them into low-paying jobs, or hinder their workforce participation due to domestic responsibilities. Studies conducted by the United Nations Development Program (UNDP) highlight the prevalence of global gender inequality in Sub-Saharan Africa, the Arab Peninsula, and many South Asian countries. These studies also reveal that gender inequality is more pronounced in countries with low to medium levels of human development. Consequently, regions like the Arab Peninsula and South Asia exhibit extremely low rates of female workforce participation. Moreover, these regions often witness a significant lack of female representation in their parliaments.&#x0D; Among the fundamental causes of women's poverty are deficiencies in education and negative societal attitudes towards women. Therefore, it is of utmost importance to elevate women's educational levels and encourage their participation in the labor force. Studies have shown a correlation between increasing women's education levels and economic growth. Consequently, governments should review employment policies and social security mechanisms to enhance women's access to employment opportunities. Social assistance policies should be implemented with a rights-based approach and should encompass women. Addressing the excessive burden of household chores, gender-based discrimination, and patriarchal attitudes limiting women's career choices is of paramount importance. Transforming societal norms and dismantling gender biases are necessary for this purpose. The combat against female poverty necessitates the active engagement of Non-Governmental Organizations (NGOs) in the realm of social policy implementations, social assistance programs, governmental initiatives related to gender-responsive budgeting, and the practices of financial institutions concerning microcredit.

Key Drivers of Coagulation Factor Use in Von Willebrand Disease During Hospitalization: An Overview of the French BERHLINGO Cohort.

Von Willebrand disease (VWD) is the most common inherited bleeding disorder. However, studies of hospitalisation patterns with replacement treatment are scarce. The aim of this study was to investigate the current therapeutic management of VWD and determine the key drivers of coagulation factor uses in patients during hospitalisation. Hopscotch-WILL was a multi-centric retrospective study conducted over a 48-month period in any patients with VWD. The data were collected from the BERHLINGO Research Database and the French Hospital database. A total of 988 patients were included; 153 patients (15%) were hospitalised during 293 stays requiring treatment with von Willebrand factor (VWF) concentrates-pure or in association with Factor VIII (FVIII). Their median basal concentrations of VWF and FVIII were significantly lower than in untreated patients: VWF antigen < 30 IU/dL, VWF activity < 20 IU/dL and FVIII:C < 40 IU/dL. The median (interquartile range) concentrate consumption was similar between highly purified VWF or VWF combined with FVIII (72 [110] vs 57 [89] IU/kg/stay, p = 0.154). The use of VWF was highly heterogeneous by VWD type; type 3 had a particularly high impact on VWF consumption in non-surgical situations. The main admissions were for ear/nose/throat, hepato-gastroenterology, and trauma/orthopaedic conditions, besides gynaecological-obstetric causes in women. The use of VWF concentrates is mostly influenced by low basal levels of VWF and FVIII, but also by VWD type or the cause for hospitalisation. These results could inform future studies of newly released recombinant VWF.

Homospisulosine induced apoptosis in cervical carcinoma cells is associated with phosphorylation of Bcl-2 and up-regulation of p27/Kip1.

Spisulosine (1-deoxysphinganine) is a sphingoid amino alcohol isolated from the sea clams that showed potent antiproliferative activity against a broad spectrum of solid tumors but failed in clinical trials due to neurotoxicity. However, its structural similarity to other bioactive sphingoids, interesting mode of action, and appreciable potency against cancer cells make it a suitable lead for future anticancer drug development. The present study was conducted to elucidate mechanisms of the antiproliferative/cytotoxic effects of newly synthesized spisulosine analog homospisulosine (KP7). The evaluation was performed on cervical carcinoma cells, representing an in vitro model of one of the most common cancer types and a significant worldwide cause of women's cancer mortality. Treatment with homospisulosine (2.0 μM) for 24, 48, and 72 h significantly inhibited the growth of HeLa cells in vitro and induced apoptosis detectable by DNA fragmentation, externalization of phosphatidylserine, dissipation of mitochondrial membrane potential, activation of caspase-3 and cleavage of PARP. In addition, treating HeLa cells with spisulosine increased p27 and Bcl-2 on protein levels and phosphorylation of Bcl-2 on Ser70 residue. These results support the potential for spisulosine analogs represented here by homospisulosine for future therapeutic development.

Breast cancer early detection in TP53 SNP protein sequences based on a new Convolutional Neural Network model

INTRODUCTION: Breast cancer (BC) is the most commonly occurring cancer and the second leading cause for women’s disease death. The BC cases are associated with genital mutations which are inherited from older generations or acquired overtime. If the diagnosis is done at the first stage, effects associated with certain treatments can be limited, costs can be saved and the diagnostic time can be minimized. This can also help specialists target the best treatment to increase the rate of cures. Nevertheless, its discovery in patients is very challenging due to silent symptoms aside from the fact the routine screening is not recommended for women under 40 years old.OBJECTIVES: Several efforts are aimed at the BC early detection using machine and deep learning systems. The proposed algorithms use different data types to distinguish between cancerous and non-cancerous cases; as: mammography, ultrasound and MRI (magnetic resonance imaging) images. Then, different learning tools were applied on this data for the classification task. Despite the classification rates which exceed 90%, the major drawback of all these methods is that they are applicable only after the appearance of the cancerous tumors, which reduces the cure rates.METHODS: We propose a new technique for early breast cancer screening. For the data, we focus on cancerous and non-cancerous SNP (Single Nucleotide Polymorphism) protein sequences of the TP53 gene in chromosome 17. This gene is shown to be linked to different single amino acid mutations on which we will shed light here. The method we propose transforms SNP textual sequences into digital vectors via coding. Then, RGB scalogram images are generated using the continuous wavelet transform. A pretreatment of color coefficients is applied to scalograms aiming at creating four different databases. Finally, a CNN deep learning network is used for the binary classification of cancerous and non-cancerous images.RESULTS: During the validation process, we reached good performance with specificity of 97.84%, sensitivity of 96.45%, an overall accuracy of 95.29% and an equal run time of 12 minutes 3 seconds. These values ensure the efficiency of our method.To enhance more these results, we used the ORB feature detection technique. Consequently, the classification rates have been improved to reach 95.9% as accuracyCONCLUSION: Our method will allow significant savings time and lives by detecting the disease in patients whose genetic mutations are beginning to appear.

“The Gilded Cage”: Oppression Experienced by Upper-Class Women in Novel The Widows of Malabar Hill (2018) by Sujata Massey

This analysis explores the issue of oppression towards women as a result of patriarchal practices, traditional traditions, gender roles, and social expectations in the novel The Widows of Malabar Hill (2018) by Sujata Massey. This is qualitative research that relies on text and applies feminist literary criticism to analyze the issue in the novel. This analysis aims to find out the forms of oppression experienced by the upper-class women in the novel. This research found that upper-class women experienced several forms of oppression including gender-based discrimination, gender-based marginalization, powerlessness, restricted access to formal education, restriction on property sales rights, being forbidden to work in public, limitation in freedom of mobility, cultural and religious practices, gender-based violence, and lack of legal rights. This research also indicates that even in the upper social classes, gender and patriarchal culture are the main causes of women's oppression. This oppression limits the opportunities that upper-class women have to develop their true potential.

The discursive construction of solidarity by Ghanaian female parliamentarians

Abstract Research on issues of women has largely focused attention on, among others, power asymmetries and gender stereotypes, with less emphasis on positive linguistic mechanisms of women. Drawing on a critical discourse analytical approach and using Ghanaian parliamentary debates as data, this paper examines how female members of parliament (MPs) construct solidarity. The paper finds that, first, Ghanaian female MPs construct solidarity by positioning themselves as agents and the voice of (Ghanaian) women by using the inclusive-we and our/us. Second, the MPs engage in solidarity formation for (Ghanaian) women empowerment by championing the cause of women and calling for female empowerment. Third, the MPs demonstrate solidarity through congratulatory messages that highlight the achievements of (Ghanaian) women. Finally, the MPs resist discourses that discriminate against (Ghanaian) women. This paper highlights the need for marginalized voices to be centred in CDA research and contributes to the burgeoning scholarship on reparative critical practices.

Social psychological factors and strategies for women’s incarceration-induced phobias

BackgroundThe incarceration of women is a risk factor for phobias in women. Depth phobia can seriously affect patients’ quality of life and even induce the risk of suicide. However, this phenomenon is common in many countries and regions. To study the social and psychological reasons for this phenomenon and propose strategies to help patients escape their fear.Subjects and MethodsFifty women with a history of incarceration and phobias were selected as the experimental group, and 50 women with a history of imprisonment and no phobias were selected as the control group. The Anxiety Disorders Interview Schedule for DSM-IV (ADDIS-IV) was used to analyze the 100 women comprehensively.ResultsThe experimental group had a mean score of 88, and the control group had a mean score of 72 out of 100 on the 20-item comprehensive assessment. The study found that factors such as domestic violence, gender discrimination, mental health, and local culture may lead to the incarceration of women, and women with excessive life stress and a history of incarceration are more likely to develop phobias. In addition, the local social structure and legal system may also lead to the imprisonment and phobias of women.ConclusionsThe results showed domestic violence and gender discrimination were the leading causes of women’s incarceration and phobias. Therefore, the provision of psychosocial counseling and treatment services should be strengthened to reduce the incidence of incarceration and phobia among women.

Scripting of a ‘New Woman’: Rabindranath Tagore’s Jogajog

There has been a whole range of both male and female writers who have advocated the cause of women and portrayed the diverse shades of their personality in inventive works. Rabindranath Tagore has been the most countless-minded personality of modern India. He was the first writer to give equal or perhaps more place to women in his writings. The wave of new woman ideology was not only limited to the Western world. It affected women around the world and even men who were sensitive to women’s issues. Rabindranath Tagore was a personality who clearly dealt with issues like women’s will, their rights and freedoms in his novels. The approach adopted in the present study is not a follow-up to Western feminist ideas, but a synthesis of the concepts available within the Indian sociological system. In India, feminism is a debatable concept. Indian feminist researchers or women studies researchers have not been able to define what Indian feminism exactly is? Indian feminists are not very comfortable in creating a strict definition of theories such as writing and Western feminism. He was a personality who dealt with issues such as women’s will, their rights and freedoms clearly in his novels. In Tagore’s narrative, there is a reflection of courageous women in women. One can call them the ‘New Women’. Keywords: New Woman, Feminine, Indian Society, Marriage and Family, Man-Woman Relationship, Sexuality

Penyebab Perempuan Menjadi Korban Kekerasan Akibat Minuman Keras di Lingkungan Keluarga

This study aims to determine the causes of women becoming victims of violence due to alcohol in the family environment. The research method used is an empirical legal research method using a descriptive approach and qualitative analysis techniques. The results of this study indicate that there are two factors that cause women to become victims of violence due to drinking alcohol in Gorontalo City, namely internal factors consisting of the personality of the woman (victim) and the personality of the man (the perpetrator). While the external factors themselves consist of economic factors and infidelity factors. For victims, with the facts that occur in the field where alcohol is a trigger for domestic violence, it is for the victims, in this case the wife, to continue to provide awareness to her husband in order to place limits on the actions taken. And the perpetrators too so as not to exceed the limits of awareness in terms of drinking liquor so that families at home do not become victims of violence for actions due to excessive consumption of liquor.

Who has the time? A qualitative assessment of gendered intrahousehold labor allocation, time use and time poverty in rural Senegal

Achieving gender equality in agricultural development is fundamental to reductions in global poverty, hunger, and malnutrition. African women make important contributions to farming and food systems; however, their efforts are often hindered by inefficient and inequitable allocations of intrahousehold labor and time that render women time poor. Time poverty is a root cause of women’s marginalization in rural Africa and an important area of inquiry for feminist scholarship. While gendered time use and time poverty have been researched in many different contexts and countries in Africa, significant knowledge gaps remain. Most studies consider women’s time use divorced from gendered relations, and overlook children’s contributions. Other factors which may combine to influence women’s time burden but are often overlooked include seasonality, work intensity, household structure and composition, cultural norms, familial relationships and intrahousehold power dynamics. Further, the majority of research on gendered time use and time poverty in Africa uses quantitative methods applied to secondary data, which presents challenges for critically identifying and characterizing the confluence of various intrahousehold dynamics which impact women’s multiple roles, responsibilities, and consequently their work and time. This study adds important nuance to the existing body of research by offering an in-depth, qualitative assessment of intrahousehold labor allocation, time use, and time poverty amongst women, men, and children living in multi-generational, largely polygamous households reliant on peanut-farming in the Kaolack region of Senegal. Data collection took place in February 2020, with 111 individuals in three villages. We find that individual workload correlates with gender and age, but is further determined by the demographic composition of the household, the roles assumed by the individual and other family members, and the individual’s place within the social hierarchy. Women and girls in Kaolack are clearly at more risk of time poverty due to their dual responsibility for reproductive and productive work, especially during the rainy season. Furthermore, women’s workload in particular changes over the life course as they assume different roles in different life stages. As a result, women with older daughters and, especially, daughters-in-law are significantly less time poor than other women.

Breast cancer detection: an effective comparison of different machine learning algorithms on the Wisconsin dataset

According to the American cancer society, breast cancer is one of the leading causes of women's mortality worldwide. Early identification and treatment are the most effective approaches to halt the spread of this cancer. The objective of this article is to give a comparison of eight machine learning algorithms, including logistic regression (LR), random forest (RF), K-nearest neighbors (KNN), decision tree (DT), ada boost (AB), support vector machine (SVM), gradient boosting (GB), and Gaussian Naive Bayes (GNB) for breast cancer detection. The breast cancer Wisconsin (diagnostic) dataset is being utilized to validate the findings of this study. The comparison was made using the following performance metrics: accuracy, sensitivity, false omission rate, specificity, false discovery rate and area under curve. The LR method achieved a maximum accuracy of 99.12% among all eight algorithms and was compared to other comparable studies in the literature. The five features chosen are used to calculate the model's fidelity-to-interpretability ratio (FIR), which indicates how much interpretability was sacrificed for performance. The uniqueness of this work is the explainability approach taken in the model's performance, which aims to make the model's outputs more understandable and interpretable to healthcare experts.

Breast cancer detection: an effective comparison of different machine learning algorithms on the Wisconsin dataset

According to the American cancer society, breast cancer is one of the leading causes of women's mortality worldwide. Early identification and treatment are the most effective approaches to halt the spread of this cancer. The objective of this article is to give a comparison of eight machine learning algorithms, including logistic regression (LR), random forest (RF), K-nearest neighbors (KNN), decision tree (DT), ada boost (AB), support vector machine (SVM), gradient boosting (GB), and Gaussian Naive Bayes (GNB) for breast cancer detection. The breast cancer Wisconsin (diagnostic) dataset is being utilized to validate the findings of this study. The comparison was made using the following performance metrics: accuracy, sensitivity, false omission rate, specificity, false discovery rate and area under curve. The LR method achieved a maximum accuracy of 99.12% among all eight algorithms and was compared to other comparable studies in the literature. The five features chosen are used to calculate the model's fidelity-to-interpretability ratio (FIR), which indicates how much interpretability was sacrificed for performance. The uniqueness of this work is the explainability approach taken in the model's performance, which aims to make the model's outputs more understandable and interpretable to healthcare experts.

Phyto-progestins for the treatment of abnormal uterine bleeding without organic cause in women at high risk for breast cancer and breast cancer survivors: a prospective, pilot study

Objectives Some plants, such as Dioscorea Villosa (DV), Vitex Agnus Castus (VAC) and Turnera diffusa (D) have some ‘progesterone-like’ properties. We have investigated their simultaneous administration in breast cancer (BC) survivors or carriers of specific genetic mutations that can increase the risk of developing BC suffering from abnormal uterine bleeding without organic cause. Methods Women with irregular cycles in terms of length (interval between ≤ 24 or ≥ 38 days) without a uterine organic disease (polyps, adenomyosis, fibroids, hyperplasia/malignancy) were included. A daily diary of bleeding, questionnaires about health-related quality of life (Short Form 36) and menstrual psychophysical well-being (PGWB-1) and the Greene Climacteric Scale (GCS) (in women older than 40 years old) questionnaire were used. The presence of some premenstrual syndrome (PMS) symptoms was also evaluated. Results In the analyzed group of women (n = 15), all experienced a regularization of the menstrual cycles, with a mean duration in the three months of use of 27.1 ± 3.2 days, with a significant reduction of menstrual pain (p = 0.02) and flow (p = 0.02) intensity. Women with PMS (7/15) reported an impovement in depression, headache and abdominal pain scores (p < 0.05). No specific deterioration of different questionnaires evaluated during treatment were observed. General satisfaction with the treatment was 6.8 ± 0.3/10 on a 10 point. Conclusions A combination of DV, VAC and D could be a promising candidate to treat menstrual irregularities without an organic cause, with a significant reduction of menstrual pain and flow intensity and possible additional benefits in PMS symptoms treatment in women at genetic risk for BC and BC survivors.